Session Detail Information
Add this session to your itinerary

Cluster :  Posters

Session Information  : Monday Nov 02, 12:30 - 14:30

Title:  Monday Poster Session
Chair: Wenjing Shen,Drexel University, Philadelphia PA, United States of America, ws84@drexel.edu
Co-Chair: Allen Holder,Rose-Hulman Mathematics, Terre Haute IN, United States of America, holder@rose-hulman.edu
Min Wang,Drexel University, 3141 Chestnut Street, Philadelphia PA, United States of America, mw638@drexel.edu

Abstract Details

Title: Big Data
 Presenting Author: Marwah Halwani,University of North Texas, 2812 Loon Lake Road, Denton TX 76210, United States of America, marwahhalwani@my.unt.edu
 Co-Author: Adam Corwin,University of North Texas, College of Business, Denton 76205, United States of America, adamcorwi@my.unt.edu
 Daniel Peak,Associate Professor, University of North Texas, BLB 365E, Denton 76205, United States of America, daniel.peak@unt.edu
 Victor Prybutok,University of North Texas, College of Business, Denton 76205, United States of America, prybutok@unt.edu
 
Abstract: The Big Data Model developed to provide a foundation for the proper use of Big Data and Data Visualization in Social Media environments that will drive positive bottom-line results. This research addresses how can Big Data represented with Data Visualization in a Social Media environment contribute to better decisions
  
Title: Brightness-location Congruency Effects on Consumer Behavior in Retail Context
 Presenting Author: Tsutomu Sunaga,Professor, Kwansei Gakuin University, 1-1-155, Uegahara, Nishinomiya, Hyogo 662-8501, Japan, sunaga@kwansei.ac.jp
 Co-Author: Jaewoo Park,Associate Professor, Chiba University of Commerce, 1-3-1, Konodai, Ichikawa-shi, Chiba 272-8512, Japan, park@cuc.ac.jp
 
Abstract: The study investigates the effects of the crossmodal correspondence between colour and visual heaviness on consumer purchase behavior. The results of the experiments demonstrate that brightness-location congruence, specifically products with bright (dark) colour at the higher (lower) shelf positions, increases shoppers’ perceptual fluency and promotes their purchase behaviour.
  
Title: A Kalman Filter Algorithm for Artillery Firing Shift
 Presenting Author: Michael Bendersky,Ben Gurion University of the Negev, Beersheba, Israel, michael.bendersky@gmail.com
 Co-Author: Israel David,Ben Gurion University of the Negev, Beersheba, Beersheba, Israel, idavid@bgu.ac.il
 
Abstract: We propose an innovative algorithm for artillery firing shift using the Kalman Filter approach. Firing shift implies an immediate artillery engagement of a target ("fire for effect") without a prior fire adjustment (by a forward observer). The capability of firing shift provides undeniable operational advantages. Implementing the Kalman Filter allows sequential fire adjustment relying on multiple auxiliary targets.
  
Title: Demand Forecasting and Area Marketing for Gas Appliances
 Presenting Author: Kosuke Shaku,Tokyogas, 1-5-20,Kaigan, Minato-ku, Tokyo, Japan, shaku@tokyo-gas.co.jp
 
Abstract: Tokyo gas has been utilizing O.R. to a lot of fields such as marketing, emergency response, and so on. Demand Forecasting of gas appliances has been a big problem for gas appliances sales. We managed to establish the method of quantitatively rational demand forecast by utilizing the CRM data of appliances stocks, survival analysis, and transience of appliances types in replacement. The result of this work has been adopted to many Tokyo gas measures such as sales goal setting and area marketing.
  
Title: Who to Call Predictive Modeling of Potential Customers Based on Customer Behavior Data
 Presenting Author: Lin Shi,Kihihi Network Information Systems Technology, China, shilin@baixing.com
 
Abstract: A telemarketing campaign is operated in a classified advertisements website Baixing.com. A model is needed to predict the possibility of customers order and then those with highest possibility can be selected. The paper designed and implemented a practical decision support system which could generate and distribute customer lists to sales representative. The poster introduces the object, business background, specific aims, modeling procedures, modeling data, final result and the conclusions of the work. Four techniques have been used to compare the performance. Random forest gives the best result. The final dynamic model integrates customers online behavior data, which is also called click-stream data as indicators of willingness to pay. The result from field study inspired that in the future work, we may push dynamic modeling for more robust and precise prediction.
  
Title: The Opportunity Cost of Federal Subsidies for Electricity Generation n the U.S.
 Presenting Author: James Gibson,USMC, 2414 Turtle Bay Dr, New Bern NC 28562, United States of America, gibson.james.r@gmail.com
 
Abstract: This study is the first investigation of the opportunity cost associated with electric utility sector federal subsidies using the mean-variance portfolio theory. The application of portfolio theory provides for an examination of how policy decisions influence electricity generation costs. The results indicate federal subsidies have an uncertain effect on electricity generation costs and the associated tax burden becomes an opportunity cost assumed by society and individual taxpayers.
  
Title: The Effect of Shape and Semantic Novelty in Product Design Usage
 Presenting Author: Harris Kyriakou,Stevens Institute of Technology, 1 Castle Point on Hudson, Hoboken NJ 07087, United States of America, ckyriako@stevens.edu
 
Abstract: Our study examines 35,727 product designs submitted to the largest 3D printing online community from January 2009 to June 2013, showing how (i) shape novelty, (ii) semantic novelty and (iii) their interaction affect product design usage. We develop both a shape-based and a text-based measure of novelty by identifying designs that are dissimilar to any preexisting design.
  
Title: Who Wants My Product? Affinity-based Marketing
 Presenting Author: Cody Kirk,Western Kentucky University, Information Systems Dept, Bowling Green KY, United States of America, cody.kirk637@topper.wku.edu
 Co-Author: Leyla Zhuhadar,Assistant Professor, Western Kentucky University, 1906 College Heights Blvd, Grise Hall, Bowling Green KY 42101, United States of America, leyla.zhuhadar@wku.edu
 
Abstract: In this research, we have developed a marketing application for data mining with the goal of publicizing a new product to those customers with a high affinity for it. We assembled suitable data to test and evaluate different mining algorithms on it. We have used the buyers of our product of interest as “model customers" for finding similar customers among the non-buyers. Finally, we deployed our final model to our customer base.
  
Title: Robust Security-constraint Unit Commitment with Dynamic Rating
 Presenting Author: Anna Danandeh,University of South Florida, Tampa FL 33613, United States of America, annadanandeh@mail.usf.edu
 Co-Author: Brian Buckley,Tampa Electric Company, 702 N Franklin St, Tampa Fl 33602, United States of America, Brian Buckley
 Bo Zeng,University of South Florida, 4202 E Fowler Ave, Tampa Fl 33620, United States of America, Bo Zeng
 
Abstract: A challenge in UC is the impact of uncertain factors such as ambient temperature on generation and transmission capacities. Since system capacity is mostly determined statically, weather changes can cause outages and/or congestions. We developed a 2 stage robust security-constraint UC formulation which dynamically rates the assets and hedges against possible efficiency drops. Leveraging the correlation between weather and load, it yields a less conservative decision and a faster computation.
  
Title: Advanced Decision-making Procedures in Massive Failure Data Classification
 Presenting Author: Keivan Sadeghzadeh,Northeastern University, 27 Payne Rd, Newton MA 02461, United States of America, k.sadeghzadeh@neu.edu
 
Abstract: In many professional areas, management decision-making process is based on the type and size of data where data classification is a necessary procedure. Massive amount of data in high-dimensions are increasingly accessible from various sources and it has become more difficult to process the streaming data in traditional application approaches. This poster presents advanced procedures to analyze high-dimensional failure data in order to facilitate decision-making through data classification.
  
Title: Exploring Residents Attitude towards Solar Photovoltaic System Adoption in China
 Presenting Author: Yaqin Sun,Drexel University, 38 Clarence Avenue, Bridgewater PA, United States of America, ys523@drexel.edu
 Co-Author: Xiangrong Liu,Bridgewater State University, 95 Grove Street, Bridgewater PA, United States of America, Xiangrong.Liu@bridgew.edu
 
Abstract: The research aimed to identify the drivers and dynamics that most encourage Chinese customers to install solar PV systems (SPS) in their residential buildings. A survey was designed and conducted among Chinese residents. The first hand data indicated the importance of increasing awareness of SPS among potential consumers. This research also assessed the impacts of gender on their knowledge of, concerns, and attitudes towards PV adoption. However, no significant difference among gender was found.
  
Title: Design of Financial Incentive Programs to Promote Net Zero Energy Buildings
 Presenting Author: Alireza Ghalebani,University of South Florida, Tampa FL, United States of America, alireza@mail.usf.edu
 Co-Author: Tapas Das,University of South Florida, Tampa FL, United States of America,
 
Abstract: Promoting net zero energy buildings (NZEB) is among key carbon emissions reduction approaches in the U.S. and in the EU countries. We present a mixed integer programming (MIP) model to aid determining the minimum thresholds of financial incentives that would spur growth in NZEBs. Several combinations of production tax credit and loan interest rates have been investigated for different commercial buildings in Tampa, FL. The results indicate the threshold values of the incentive program parameters.
  
Title: Multi-objective Scenario Discovery for Climate Change Adaptation
 Presenting Author: Julie Shortridge,Phd Student, Johns Hopkins University, 3400 N. Charles St., Ames Hall 317, Baltimore MD 21218, United States of America, julieshortridge@gmail.com
 Co-Author: Seth Guikema,Associate Professor, University of Michigan, 1205 Beal Avenue, Dept. of Industrial & Operations Eng., Ann Arbor MI 48109, United States of America, sguikema@umich.edu
 
Abstract: New methods for decision support under non-probabilistic uncertainty are becoming increasingly popular in the climate change adaptation field. Scenario discovery, as part of the robust decision making framework, uses machine learning to identify multivariate scenarios where a plan or system will perform poorly. In this work, we evaluate different methods for incorporating multiple criteria into the scenario discovery process to assess whether the method used impacts the scenarios identified.
  
Title: The Unit Commitment Model for Power Interruption Contracts
 Presenting Author: Lakshmi Palaparambil Dinesh,Phd Candidate, University of Cincinnati, 221 Piedmont Avenue Apt 21, Cincinnati OH 45219, United States of America, lakshmi603@gmail.com
 Co-Author: Jeffrey Camm,Associate Dean Of Business Analytics, Wake Forest University, P O Box 7897, Winston Salem NC 27109, United States of America, cammjd@wfu.edu
 
Abstract: The term unit commitment implies which power generation units should be turned on or off in a power plant . When the demand for power is high, power could either be bought from the spot market or the customers could be interrupted using a contract. The problem deals with choosing the right set of customers for interruption using a technique called conjoint optimization and hence reducing the overall costs for the supplier.
  
Title: Virtual Metrology for Copper Clad Laminate Manufacturing
 Presenting Author: Misuk Kim,Seoul National University, 39-339, Gwanak-ro, Gwanak-gu, Seoul, Korea, Republic of, misuke88@naver.com
 
Abstract: Virtual metrology predicts wafer quality properties based on sensor values of the equipment in semiconductor manufacturing. It reduces the cost associated with physical metrology as well as identifies important equipment sensor values. We applied it to copper clad laminate for printed circuit board with data from a Korean manufacturer. We not only obtained prediction models with a high accuracy, but also found a number of important, yet previously unknown to engineers, equipment sensors.
  
Title: Goodness of Fittest for Multinomial Model with Clustered Data
 Presenting Author: Zhiheng Xie,Phd Candidate, University of Kentucky, Lexington KY 40503, United States of America, zhiheng.xie@uky.edu
 
Abstract: Discrete-time Markov chains have been used to analyze the transition of subjects from intact cognition to dementia with transient states, and death as competing risk. We proposed a modified chi-square test statistic which can deal with the clustering effects for the multinomial assumption. We showed our new statistic has a better type I error control when clustering effects presents. We apply the test to the data from the Nun Study, a cohort of 461 participants.
  
Title: Discrete Event Dynamic Simulation for Modeling a Real Job Shop System
 Presenting Author: Golshan Madraki,Ohio University, 15 Station St apt F, Athens Oh 45701, United States of America, gm705913@ohio.edu
 
Abstract: A new approach for simulating a job shop system is introduced.The interarrival time of jobs,processing time of machines,time between failures,repair time have general distribution. Previous models consider these parameters deterministic or exponentially distributed. we facilitate estimation of maximum production rate where Buffers capacity,Number of machines in each shop,Number of Lift-truck are efficient
  
Title: Optimization of Food Production ( Ready - To - Eat Meat Sticks)
 Presenting Author: Rebecca Brusky,Data Science Student, University of Nebraska Omaha, 3602 Lincoln Blvd, Omaha NE 68131, United States of America, rbrusky@unomaha.edu
 Co-Author: Betty Love,Associate Professor, University of Nebraska Omaha, Department of Mathematics, Omaha NE, United States of America, blove@unomaha.edu
 
Abstract: In the production of ready-to-eat meat sticks, the bottlenecks (dependencies) need to be minimized and number of sticks produced needs to be maximized. Dependent components include equipment flow constraints, smoke room duration and cleaning downtime. The largest downtime factor is the required four-hour cleaning when switching to a non-compatible flavor. This poster documents how a six-flavor production line governed by a set of flavor ordering rules and production demands can be optimized.
  
Title: Rethinking Principal Component Analysis in EEG Classification
 Presenting Author: Xiaoxia Li,North Dakota State University, 124 East Bison Court, Fargo ND 58108-6050, United States of America, xiaoxia.li@ndsu.edu
 
Abstract: Principal Component Analysis (PCA) is considered to be a powerful tool in dimension reduction. However, it is worth thinking of the suitability of application for EEG signal data. Two EEG datasets collected from alcoholic and control groups were used to test the prediction accuracy before and after PCA transformation with SVM and KNN methods. Based on the classification results, we found that PCA is not valid in EEG signal processing. We also concern that other factors might be confounding.
  
Title: Strategic Exclusive Supply Contract for Carbon Fiber Reinforced Plastic in the Aviation Industry
 Presenting Author: Kenju Akai,The University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, Japan, akai@css.t.u-tokyo.ac.jp
 Co-Author: Kazuro Kageyama,The University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, Japan, kageyama@giso.t.u-tokyo.ac.jp
 Nariaki Nishino,The University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, Japan, nishino@tmi.t.u-tokyo.ac.jp
 Kazuma Sakamoto,The University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, Japan, space.taxi.to.the.sky@gmail.com
 
Abstract: We investigate the rationality of an exclusive supply contract for Carbon Fiber Reinforced Plastic (CFRP) between Boeing and a Japanese CFRP supplier, Toray. We build a mathematical model of the market for CFRP comprising Toray and the oligopolistic market for aircraft, assuming Airbus, as Boeing’s rival. The subgame perfect Nash equilibria show that both Boeing and Toray obtain the higher profits rather than that in the Cournot Competition.
  
Title: Hand Motion Identification from Electroencephalography Recordings using Recurrent Neural Network
 Presenting Author: Jinwon An,SNU, 1 Gwanak-ro, Gwanak-gu, Seoul 151-742, Seoul -, Korea, Republic of, jinwon@dm.snu.ac.kr
 Co-Author: Sungzoon Cho,Professor, Seoul National University, Bangbae1-dong, Seocho-gu, Seoul, Korea, Republic of, zoon@snu.ac.kr
 
Abstract: Neurological disabled patients can be aided by brain-computer interface (BCI) prosthetic devices. Grasp and lift tasks are basic actions that needs to be implemented in those devices. In this study, grasp and lift tasks were analyzed by using electroencephalography (EEG) recordings. Various recurrent neural network models were used. It shows that EEG can identify hand motions such as reaching, grasping, loading and retracting with high accuracy.
  
Title: On Optimization of Carbon Capture, Utilization, and Storage Supply Chains Under Uncertainty
 Presenting Author: Mahnaz Asghari,Virginia Tech, 1406 University City Blvd., Blacksburg VA 24060, United States of America, mahnaz@vt.edu
 Co-Author: Hamed Shakouri Ganjavi,Associate Professor, University of Tehran, College of Engineering, North Kargar St., School of Industrial and Systems Eng., Tehran, Iran, hshakouri@ut.ac.ir
 
Abstract: Carbon capture, utilization, and storage (CCUS) is a crucial technology to mitigate climate change. Due to the high costs of the technology, a great deal of attention has been focused on how the captured CO2 can be optimally utilized or stored. We study optimizing CCUS supply chains under uncertain environment. In this poster, we present an algorithm to generate a candidate network for CO2 transportation and a model for optimizing the utilization and storage of the captured CO2 in CCUS systems.
  
Title: On Two-row Chvatal Gomory Cuts
 Presenting Author: Babak Badri Koohi,Doctoral Student, Virginia Tech, 1406 University City Blvd., Blacksburg VA 24060, United States of America, babakbk@vt.edu
 Co-Author: Diego Moran,Assistant Professor, Virginia Tech, 227 Durham Hall (MC 0118), 1145 Perry Street, Blacksburg VA 24061, United States of America, damr@vt.edu
 
Abstract: Chvatal-Gomory (CG) cuts are a very important class of cutting planes for solving mixed-integer programs. CG cuts for a polyhedron P are obtained by computing integer hulls of its 1-row relaxations. We study 2-row CG cuts, a generalization of CG cuts that are obtained by computing integer hulls of 2-row relaxations of P. In this poster, we present some basic properties of 2-row CG cuts and discuss their relation to other well-known classes of cuts such as split cuts and (crooked) cross cuts.
  
Title: Stable Strategic Marriages
 Presenting Author: James Bailey,Graduate Student, Georgia Institute of Technology, 116 Ponce De Leon Ave NE, Atlanta GA 30308, United States of America, james.bailey@gatech.edu
 Co-Author: Craig Tovey,David M. Mckenney Family Professor, Georgia Institute of Technology, 755 Ferst Drive, NW, Atlanta GA 30332, United States of America, craig.tovey@gatech.edu
 
Abstract: The effect of lying on the stability of marriages is a long standing open problem. When men and women behave strategically, an ideal decision mechanism selects a marriage that is (1) stable, and (2) egalitarian, with respect to sincere preferences. We provide a positive result to (1) and a negative result to (2) under two natural conditions. We strengthen current results about the Gale-Shapley algorithm, showing that the woman-optimal marriage is the only obtainable one when men propose.
  
Title: Decision Analytics for Managing Invasive Wild Pigs
 Presenting Author: Matthew Brondum,U.S. Army Corps of Engineers, 3909 Halls Ferry Rd., Vicksburg MS 39180, United States of America, matthew.c.brondum@usace.army.mil
 Co-Author: Zach Collier,U.S. Army Corps of Engineers, 3909 Halls Ferry Rd., Vicksburg MS 39180, United States of America, zacollier@gmail.com
 Buddy Goatcher,U.S. Army Corps of Engineers, 3909 Halls Ferry Rd., Vicksburg MS 39180, United States of America, buddy.l.goatcher@usace.army.mil
 Igor Linkov,Army Corps of Engineers, 696 Virginia Rd., Boston Ma 01742, United States of America, igor.linkov@usace.army.mil
 
Abstract: Wild pigs pose significant environmental, economic, and social risks to the United States and around the world. A number of wild pig eradication and control measures exist, but many eradication campaigns are ultimately unsuccessful due to a variety of complexities across multiple domains. We are developing a decision analytic tool which will assist affected landowners in deciding which eradication technique best suits their site-specific interests.
  
Title: The Regional Logistics Hubs Location Problem Based on the Topsis and Genetic Algorithm: A Case Of Sichuan
 Presenting Author: Si Chen,Southwest Jiaotong University, #1 jingqu road, Emei, China, chensi@swjtu.edu.cn
 Co-Author: Mi Gan,Dr, Southwest Jiaotong University, 111 N 2nd Bound Erhuan Road, Chengdu SC 610031, China, migan@swjtu.cn
 Qian Guo,Dr, Southwest Jiaotong University, 1# Jingqu road, Emei, China, 2655977762@qq.com
 
Abstract: The regional logistics demands, which are the key factors for logistics hubs location problem, are changing with the developing regional economic and the structure of industry. Then we aim to modeling this problem with an integrated approach of multi-criteria decision making and integer programming model. And the real data case of Sichuan is employed to verify the feasibility of proposed models and approach. Moreover, the numerical results are corresponding to the actual logistics situation.
  
Title: Promotional Mix and Pricing Strategy with Risk-averse Buyers in the Age of Social Media
 Presenting Author: Wei-yu Kevin Chiang,City University of Hong Kong, P7614, Academic 1, Hong Kong, Hong Kong - PRC, wchiang@cityu.edu.hk
 Co-Author: Lu Qiang,City University of Hong Kong, 14-210, Academic 3, City University of Hong Kong, Hong Kong, Hong Kong - PRC, qianglu_1019@hotmail.com
 Qiao Wang,City University of Hong Kong, P7701, Academic 1, City University of Hong Kong, Hong Kong, Hong Kong - PRC, qiaowang0417@gmail.com
 
Abstract: How should a firm minimize the wastage on marketing expenditure with an efficient promotional mix? The firm has two promotional strategies, hype advertising campaign (HAC), which refers to a basic publicity that makes consumers aware of the product’s existence, and referral reward program (RRP), which refers to an incentive-based program that offers rewards to the existing buyers for bringing in new buyers. We study the firm’s optimal promotional mix and pricing strategy with risk-averse buyers.
  
Title: A Game Theoretic Analysis of Electricity Time-of-use (TOU) Tariff for Residential Customers
 Presenting Author: Dong Gu Choi,Senior Researcher, Korea Institute of Energy Research, 152 Gajeong-ro, Yuseong-gu, Daejeon 34129, Korea, Republic of, doonggus@gmail.com
 Co-Author: Valerie Thomas,Professor, Georgia Institute of Technology, 755 Ferst Drive, NW,, Atlanta GA 30332, United States of America, valerie.thomas@isye.gatech.edu
 
Abstract: We properly formulate a game-theoretic model for analyzing not only the optimal behaviors of both an electric utility and residential customers but also their monetary gains or losses under a TOU tariff. With two heterogeneous customer types in terms of consumption pattern, we identify that a win-win situation is not possible. Also, we emphasize our analytic results by describing a numerical example, and we discuss the implications of our results for electric utilities and regulatory agencies.
  
Title: ***LATE Cancellation 10-6***Why Classical Hybrids are so Risky for Entrepreneurs, and What to do about it
 Presenting Author: Gaston De Los Reyes,Assistant Professor, George Washington University School of Business, 2201 G St. NW, Funger 615, Washington DC 20008, United States of America, gdlr@gwu.edu
 
Abstract: Williamson (1991) insufficiently characterized the institutions of hybrid governance, emphasizing forms that feature neoclassical devices to co-govern past contract close. Entrepreneurs, however, frequently resort to hybrids of classical form, lacking terms to protect from ‘lawful’ opportunism in case of disruption. I explicate the implications, drawing upon my dissertation study of contract law. I discuss a novel institutional solution and managerial strategies for the status quo.
  
Title: An Integrated Make-pack-route Problem of Fresh Agri-food Online Retailing in China
 Presenting Author: Mu Du,Institute of Systems Engineering, Dalian University of Technology, No.2 Linggong Road, Dalian University of Technology, Dalian, China, dumu.dlut@gmail.com
 Co-Author: Xiangpei Hu,Institute of Systems Engineering, Dalian University of Technology, No.2 Linggong Road, Dalian, China, drhxp@dlut.edu.cn
 Nan Kong,Weldon School of Biomedical Engineering, Purdue University, 206 S. Martin Jischke Dr., West Lafayette, United States of America, nkong@purdue.edu
 
Abstract: Fresh agri-food sold by farm-to-home online retail is produced through a make-pack-route process at farm’s distribution centers. Due to the large variety of produce and high cost of intermediate storage, an integrated decision model is employed to coordinate these different operations. We introduce a make-pack-route model that minimizes the total cost and propose an effective heuristic method. We report a case study based on real-world business practice in China.
  
Title: Decision Analytic Modeling of the Five Competitive Forces in the Residential Solar Industry
 Presenting Author: Karim Farhat,Phd Candidate, Management Science And Engineering, Stanford University, 475 Via Ortega, Huang Engineering Center 245A, Stanford CA 94305, United States of America, kfarhat@stanford.edu
 
Abstract: Using a first-of-kind quantitative decision-analytic model of Michael Porter's five competitive forces, we investigate an international solar firm’s plan to enter and properly position in the US residential solar PV industry. Applying a Bayesian probabilistic approach, the model assesses the uncertain profitability of the overall competitive market, and it provides several insights on the firm’s go-to-market strategy, including: regional focus, vertical integration, and customer finance.
  
Title: ***LATE CANCEL*10-2***Portfolio Analysis for Army Corps of Engineers Business Line Integration
 Presenting Author: Cate Fox-lent,US Army Corps of Engineers, 333 Massachusetts Ave 7, Arlington MA 02474, United States of America, catherine.fox-lent@usace.army.mil
 Co-Author: Matthew Bates,US Army Corps of Engineers, 696 Virginia Rd, Concord, United States of America, Matthew.E.Bates@usace.army.mil
 Christy Foran,US Army Corps of Engineers, 696 Virginia Rd, Concord, United States of America, Christy.M.Foran@usace.army.mil
 
Abstract: Portfolio analysis is used to demonstrate opportunities to leverage synergies across business lines. Coastal systems can benefit from reduced cost, reduced environmental impact, or increased project performance when planning for Navigation, Environmental Restoration, and Coastal Storm Risk Management projects is intentionally integrated. Long-term monitoring to improve quantification of project interactions can lead to improved utility of this type of analysis.
  
Title: Incorporating Passenger Recovery Decisions during Airline Operations Recovery
 Presenting Author: Dinakar Gade,Senior Operations Research, Sabre, 3150 Sabre Drive, Southlake TX 76092, United States of America, dinakar.gade@sabre.com
 Co-Author: Sureshan Karichery,Sabre, 3150 Sabre Drive, Southlake TX 76092, United States of America, sureshan.karichery@sabre.com
 Shahram Shahinpour,Senior Operations Research, Sabre, 3150 Sabre Drive, Southlake TX 76092, United States of America, shahram.shahinpour@sabre.com
 
Abstract: Airlines are faced with several types of disruptions that impede regular operations. The Sabre AirCentre Recovery Manager (Ops) helps airlines quickly recover both the schedule and aircraft rotations from disruptions. We introduce a new feature of Recovery Manager called the Passenger Flow Module (PFM) that incorporates passenger re-accommodation decisions during schedule recovery. The solutions generated reduce the impact to passenger flows in the network and reduce passenger inconvenience.
  
Title: The Impact of Roadway Traffic Flow in Regional Network Design Problem
 Presenting Author: Mi Gan,Dr, Southwest Jiaotong University, 111 N 2nd Bound Erhuan Road, Chengdu SC 610031, China, migan@swjtu.cn
 Co-Author: Si Chen,Southwest Jiaotong University, #1 jingqu road, Emei, China, chensi@swjtu.edu.cn
 
Abstract: In order to solving the problem that the existed logistics network design models(LND) are lack of consider on roadway traffic flow. The uncover degree function of logistics facility nodes based on impedance function was constructed. Then, integrated logistics network design models and corresponding algorithms were proposed with the basis of uncover degree function. The comparison of general LND models and models we developed by real case reveals the impact of roadway traffic flow on LND.
  
Title: Evaluating Zoning Strategies for Demand Responsive Transit Systems
 Presenting Author: Eric Gonzales,University of Massachusetts, Amherst, Department of Civil & Environmental Eng., 130 Natural Resources Road, Amherst MA 01003, United States of America, gonzales@umass.edu
 Co-Author: Mahour Rahimi,University of Massachusetts, Amherst, 139 Marston Hall, 130 Natural Resources Rd., Amherst MA 01003, United States of America, mrahimi@umass.edu
 
Abstract: DRT systems often divide their service area into smaller regions in order to simplify operations. However, this management strategy can create inefficiencies. This paper develops an analytical formulation to explain the relation between agency cost and zoning strategies. The two main objectives are to understand when a service area needs to be divided into smaller regions to reduce the total costs of a DRT system and how the split should be done in order to be the most cost effective.
  
Title: Supply Enhancement in Capital-constraint Assembly System: Financing Suppliers or Dual Sourcing?
 Presenting Author: Chaocheng Gu,Phd Candidate, Huazhong University of Science and Technolgy, 1037 Luoyu Rd., 326 School of Management, Wuhan HB 430074, China, chaocheng@hust.edu.cn
 Co-Author: Shiming Deng,Huazhong University of Science and Technolgy, 1037 Luoyu Rd., Wuhan HB 430074, China, dengsm@hust.edu.cn
 
Abstract: we study two mechanisms for supply reliability enhancement in capital constraint assembly system. Financial mechanism. Three financial strategies are examined; that is, bank finance, buyer finance and a combined peer finance. The manufacturer can also avail of a more expensive backup sourcing. When bank finance and buyer finance both present, the manufacturer always prefer buyer finance.The optimal mechanism switches back and forth as the equilibrium order quantity increases.
  
Title: Rating Aggregation in Multi-dimensional Rating Systems: How do Reviewers Form Overall Ratings?
 Presenting Author: Dominik Gutt,Phd Candidate, University of Paderborn, Warburger Str. 100, Paderborn 33098, Germany, dominik.gutt@wiwi.uni-paderborn.de
 Co-Author: Dennis Kundisch,University of Paderborn, Warburger Str. 100, Paderborn 33098, Germany, dennis.kundisch@wiwi.uni-paderborn.de
 
Abstract: A recent strain of literature on online product reviews has focused in particular on multi-dimensional product reviews. Multi-dimensional product reviews usually allow the reviewer to rate a product first, based on one overall rating, and second, based on a set of several sub-dimensions. Mostly, overall ratings do not equal e.g. the calculated mean of the sub-dimensions. Our research will shed light on the question, which heuristics reviewers use to form an overall rating.
  
Title: Cyclic Timetabling and Platforming of Mixed Train Types on a Bidirectional Railway Line
 Presenting Author: Mojtaba Heydar,University of Newcastle, University Drive, Callaghan, Australia, mojtaba.heydar@newcastle.edu.au
 
Abstract: We present a mixed integer program for cyclic train timetabling and platforming problem. It is assumed that there are different types of trains moving on a single, bidirectional railway line. Two objectives—timetable cycle length and total journey time of all train types—are considered. Constrains include infrastructure characteristics, safety regulations, and operational rules. Heuristics and exact methods are combined with math model to solve large problem instances are solved and discussed.
  
Title: The Impact of Platform Update Interval on Platform Diffusion in a Cooperative Mobile Ecosystem
 Presenting Author: Yoo S. Hong,Professor, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Korea, Republic of, yhong@snu.ac.kr
 Co-Author: Gyesik Oh,Phd Student, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Korea, Republic of, gushigi4@snu.ac.kr
 
Abstract: Periodic platform upgrading is one of the effective strategies for potential participants as well as existing stakeholders. However, the diffusion of an updated platform is ineffective in a cooperative mobile ecosystem where a manufacturer modifies a platform released as open-source software on its smartphones. This paper models the effectiveness of platform diffusion with respect to the platform update interval in consideration of the manufacturer’s decision mechanism.
  
Title: Operational Health Information Exchange Platform
 Presenting Author: Kang-yu Hsu,Phd Student, Purdue University, 610 Purdue Mall, West Lafayette IN 47907, United States of America, hsu66@purdue.edu
 Co-Author: Poching Delaurentis,Purdue University, 610 Purdue Mall, West Lafayette in 47907, United States of America, poching@purdue.edu
 Yuehwern Yih,Professor, Purdue University, 610 Purdue Mall, West Lafayette IN 47907, United States of America, yih@purdue.edu
 Rich Zink,Director Of Operations, Regenstrief Center for Healthcare Engineering, Gerald D. and Edna E. Mann Hall, Suite 225, 203 S. Martin Jischke Drive, West Lafayette IN 47097, United States of America, zinkr@purdue.edu
 
Abstract: Health Information Exchange (HIE) has been focusing on utilizing patient electronic health records to improve service quality and patient safety. The exploitation of HIE, however, can go beyond patient records. This study aims to build an infusion drug limit library database and embedded analytical tools as a pilot for the operational HIE platform that may house and utilize other types of data with similar usage and functionality.
  
Title: Design and Pricing of Crop Insurance Based on NDVI
 Presenting Author: Jing Huang,Hohai University, No.8 Focheng Road, Nanjing, China, huangjingshow@hotmail.com
 Co-Author: Anna Shi,Hohai University, No.8 Focheng Road, Nanjing, China, Anshi@hhu.edu.cn
 Jinping Tong,Changzhou University, Gehu Road, Changzhou, China, tjp@cczu.edu.cn
 Huimin Wang,Hohai University, No.8 Focheng Road, Nanjing, China, hmwang@hhu.edu.cn
 
Abstract: The crop index-insurance is a possible approach to solve the dilemmas in traditional crop insurance. In this study, the crop insurance contract is designed based on remote sensed Normalized Difference Vegetation Index (NDVI). Then the crop yield estimation models in different expectations is proposed. Lastly, the pure rate of premium is presented under different triggers using nonparametric kernel density model. The paddy rice in three cities in Yunnan Province, China are chosen as an example.
  
Title: An Infinite Time Horizon Portfolio Optimization Model with Delays
 Presenting Author: Azmat Hussain,Phd Student, North Carolina State University, Raleigh NC 27606, United States of America, ahussai@ncsu.edu
 
Abstract: We consider a portfolio optimization problem over an infinite time horizon. The problem is formulated as a stochastic control problem and the state is governed by a stochastic process with delay. The goal is to choose investment and consumption controls such that the total expected discounted utility is maximized. Under some conditions, the corresponding HJB equations for exponential, log and HARA utility functions are solved and verification results and the optimal control are also established.
  
Title: Optimization of the Order-up-to and Reorder Levels for Each Item in the Forward Area of Warehouse
 Presenting Author: Takashi Irohara,Professor, Sophia University, 7-1 Kioi-cho, Chiyodaku, Tokyo 1028554, Japan, irohara@sophia.ac.jp
 
Abstract: We propose an optimization procedure to solve a forward reserve allocation problem and determine the order-up-to and reorder levels for each item in the forward area. In the target warehouse or distribution center, the forward area stores items in a unit of piece for efficient order picking and the reserve area stores items in a unit of case. There is a tradeoff between replenishment frequency and inventory space in the forward area. We show the effectiveness of the proposed method.
  
Title: Net Energy Analysis of Wind/Solar Generation and Electric Vehicles: Are They as Green as They Seem?
 Presenting Author: Tongdan Jin,Texas State University, 601 University Drive, San Marcos TX, United States of America, tj17@txstate.edu
 Co-Author: Joseph Duke,Texas State University, 601 University Drive, San Marcos, United States of America, jtd55@txstate.edu
 
Abstract: Wind and solar energy are widely hailed as “free” and “clean” energy. Similarly, electric vehicles (EV) that run on batteries are considered to be much greener than their gasoline counterparts. But is it possible that the environmental benefits from new energy and transport technologies may be exaggerated? The goal of this research is to perform an analysis of the lifecycle CO2 emissions, from wind turbines, solar photovoltaic panels, and EV, to weigh together the cost and benefits.
  
Title: Design and Modelling of Crowdsource Enabled Relay System for Urban Parcel Delivery
 Presenting Author: Nabin Kafle,Research Assistant, UIC, 842 W Taylor St, Chicago IL 60616, United States of America, nkafle3@uic.edu
 Co-Author: Jane Lin,Associate Professor, UIC, 842 W Taylor St, Chicago IL 60616, United States of America, janelin@uic.edu
 Bo Zou,Assistant Professor, UIC, 842 W Taylor St, Chicago IL 60616, United States of America, bzou@uic.edu
 
Abstract: We propose a new relay-based intermodal system for urban parcel delivery enabled by crowdsourcing technology. A mathematical model is formulated which (i) identifies relay locations and their visiting order by the delivery truck; and (ii) uses local green modes in place of the delivery truck for last-leg pickup/delivery from the chosen relay points, where crowdsources are selected through auction. We develop a heuristic algorithm to solve the model.
  
Title: Automatic Sentiment Words Extraction from Online Reviews for Product Comparison
 Presenting Author: Eunji Kim,Data Mining Lab., 39-339, Seoul natl' univ., Gwanak-ro, Gwanak-gu, SEOUL, Korea, Republic of, eunjikim@dm.snu.ac.kr
 Co-Author: Hyun-chang Cho,Seoul National University, Banpo-gu, Seocho-dong, Seoul, Korea, Republic of, hccho@dm.snu.ac.kr
 Sungzoon Cho,Professor, Seoul National University, Bangbae1-dong, Seocho-gu, Seoul, Korea, Republic of, zoon@snu.ac.kr
 
Abstract: Online customer reviews are potentially a great source for improving the quality of products or services. However, it is technically tough to automate it because the review data is vast and unstructured. We propose a text mining approach that can handle a context dependent sentiment of a word in reviews. A word is associated with different sentiment values for different product categories. This enables us to extract pros and cons of a product when compared to similar products.
  
Title: A Cooperative Game Theory Approach to Highway Cost Allocation
 Presenting Author: Saurav Kumar Dubey,Phd Student Department Of Industrial And Systems Engineering, University of Tennessee at Knoxville, 1615 Laurel Avenue, Box-203, Knoxville TN 37916, United States of America, skumardu@vols.utk.edu
 Co-Author: Alberto Garcia-Diaz,Professor-department Of Industrial And Systems Engineering, University of Tennessee at Knoxville, 518 John D. Tickle Building, 851 Neyland Drive, Knoxville TN 37996, United States of America, agarcia2@utk.edu
 
Abstract: Traditional methods of allocating highway cost among vehicle classes include proportional and incremental procedures. Two non-traditional game-theoretic concepts of Least Core and Discrete Aumann-Shapley Value will be shown to be effective in integrating Traffic Capacity and Pavement Thickness requirements. The Nucleolus solution concept will be implemented to strengthen the core stability of Highway Cost Allocation game and reinforce the principles of fairness and rationality.
  
Title: Incorporating the Impact of Product Reviews on Future Propensity to Purchase
 Presenting Author: Matthew Lanham,Doctoral Candidate, Virginia Tech, Dept. of BIT (0235), Blacksburg VA 24061, United States of America, lanham@vt.edu
 Co-Author: Ralph Badinelli,Lenz Professor Of Business, Virginia Tech, Dept. of BIT (0235), Blacksburg VA 24061, United States of America, ralphb@vt.edu
 
Abstract: This study investigates the potential impact that publically accessible product reviews might have on future sales and propensity to purchase for a national retailer and provides a means to incorporate this knowledge posteriori to already derived demand forecasts. The study is motivated by the emergence of Big Data Analytics (BDA) in the retail industry to improve consumer experience, products, and services.
  
Title: Active Fund Performance: A Full-distributional Analysis
 Presenting Author: Yongjae Lee,Korea Advanced Institution of Science and Technology, 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Korea, Republic of, yongjae.lee@kaist.ac.kr
 Co-Author: Woo Chang Kim,Dr., Korea Advanced Institution of Science and Technology, 291 Daehak-ro, Yuseong-gu, Daejeon, Korea, Republic of, wkim@kaist.ac.kr
 William T. Ziemba,University of British Columbia, 2053 Main Mall, Vancouver, Canada, wtzimi@mac.com
 
Abstract: Performance evaluation of active funds has been eagerly studied by many scholars in finance. They have compared the performance distribution of active funds to relevant benchmarks. Most of these studies were naïve comparisons of a full distribution to a small number of points that do not reveal distributional characteristics. Therefore, we analyze the Sharpe ratio distributions of active funds in comparison with analytically derived Sharpe ratio distributions of all feasible portfolios.
  
Title: Behavioral Ordering Decision under Downward Substitution
 Presenting Author: Yan Li,Dr., China University of Mining and Technology, Ding 11, Xueyuan Road, Beijing, China, liyan@cumtb.edu.cn
 Co-Author: Bojiao Mu,Dr., Shenhua Group, Xibinhe Road, Beijing, China, mubojiao@shenhua.cc
 
Abstract: Downward substitution is one common strategy for selling multi-class products. The previous research assumes perfect rationality. This paper relaxes the assumption and utilizes the MNL model to depict the ordering behaviors for substitutable products. We compare the ordering quantity considering substitution with that without substitution. The substitution effect shows non-monotonicity regarding the extent of rationality and is superior to the one predicted by rationality.
  
Title: Optimal Capital Structure and Credit Spread under Partial Information
 Presenting Author: Bo Liu,UESTC, No.4, Section 2, North Jianshe Rd., Chengdu, China, liub@uestc.edu.cn
 
Abstract: The paper first incorporates partial information friction to extend the classic optimal capital structure model. We derive closed-form results for the value of risky debt,credit spread, default threshold, and for optimal capital structure.We find that under partial information,dynamic learning significantly increases the optimal coupon level and firm's leverage, and improves the tax advantage to debt.
  
Title: Optimal Production and Inventory Policy in Solar Photovoltaic Supply Chain
 Presenting Author: Xiangrong Liu,Bridgewater State University, 95 Grove Street, Bridgewater PA, United States of America, Xiangrong.Liu@bridgew.edu
 Co-Author: Chuanghui Xiong,Assistant Professor, University of North Carolina at Pembroke, Department of Management, Marketing and, Pembroke NC 28372, United States of America, chuanhui.xiong@uncp.edu
 
Abstract: The development and utilization of solar photovoltaic (PV) energy has progressed at a very fast pace. With decreasing price of PV module and uncertain government incentives, this research models the production and inventory strategies in the setting of a PV supply chain with a PV manufacturer, an installer and an end customer. Based on the manufacturer's and installer's optimal decision, this study discusses how to improve supply chain performance through parameters setting in contract design.
  
Title: Optimal Stopping Game with Investment Spillover Effect
 Presenting Author: Akira Maeda,Professor, The University of Tokyo, 3-8-1 Komaba, Meguro, Tokyo 153-8902, Japan, maeda@global.c.u-tokyo.ac.jp
 Co-Author: Ryuta Takashima,Associate Professor, Tokyo University of Science, 2641 Yamazaki, Noda-shi, Chiba, Japan, takashima@rs.tus.ac.jp
 Motoh Tsujimura,Associate Professor, Doshisha University, Kamigyo-ku, Kyoto 602-8580, Japan, mtsujimu@mail.doshisha.ac.jp
 
Abstract: The purpose of this study is to analyze the game over optimal choice of firm’s investment time, focusing on the case that there is positive externality in the effect of investment. We consider a situation where firms can increase their subsequent revenue stream by making an irreversible investment, and the investment has a spillover effect to other firms. This setup describes gaming over optimal stopping problems. We examine the property of the subgame perfect Nash equilibrium.
  
Title: Recent Trends in Blood Banking Systems: A Supply Chain Perspective
 Presenting Author: Amir Masoumi,Assistant Professor Of Management, Manhattan College, 4513 Manhattan College Parkway, DLS 504, Riverdale NY 10471, United States of America, amir.masoumi@manhattan.edu
 
Abstract: Blood service operations are a key component of the healthcare system all over the world. In the US prior to 2008, there were several reported cases of blood shortages; however, the scenario has significantly changed thereafter. The total number of whole blood and red blood cells collected annually decreased from 17.3 to 15.7 million units during the 2008-2011 period. We investigate the recent trends in supply and demand management of blood banking systems from a logistics perspective.
  
Title: Optimal Sizing of a Price-maker Energy Storage Facility Considering Uncertainty
 Presenting Author: Ehsan Nasrolahpour,University of Calgary, 2500 University Dr NW, Calgary AB, Canada, enasrola@ucalgary.ca
 
Abstract: This paper proposes a strategic investment model for a price-maker energy storage facility considering market uncertainties. The proposed model is a stochastic bi-level optimization problem where planning and operation decisions of the energy storage facility are made in the upper level, and market clearing is modeled in the lower level under different operating conditions. The bi-level optimization problem is recast as an Mathematical Program with Equilibrium Constraints (MPEC).
  
Title: Army Materiel Systems Analysis Activity (AMSAA)
 Presenting Author: Joseph Olah,AMSAA, 392 Hopkins Road, APG MD, United States of America, joseph.m.olah.civ@mail.mil
 Co-Author: Tiffany Gutowski,AMSAA, 392 Hopkins Road, APG MD, United States of America, tiffany.a.gutowski.civ@mail.mil
 
Abstract: AMSAA is the Army’s independent source of data, modeling & simulation, and materiel lifecycle & logistics systems analysis to support the Army’s Equipping, Sustaining and Warfighting decisions. AMSAA's Core Competencies are Independent Materiel Performance and Effectiveness Analysis, Independent Logistics Analysis, Field Data Collection and Analysis, Program Management of DoD’s JTCG-ME Program, Strategic/Corporate Level Decision Analysis, and Certified System Level Performance Data.
  
Title: Reinforcement Learning Algorithm for Blood Glucose Control in Diabetic Patients
 Presenting Author: Mahsa Oroojeni Mohammad Ja,Northeastern University, 334 Snell Engineering, Boston MA, United States of America, oroojeni.m@husky.neu.edu
 
Abstract: In this paper a reinforcement learning algorithm is proposed for regulating the blood glucose level of Type I diabetic patients. In the proposed reinforcement learning algorithm body weight and A1C level define the state of a diabetic patient. For the agent, insulin dose levels constitute the actions. As a result of a patient’s treatment, after each time step t, the patient receives a numerical reward depending on the response of the patient’s health condition.
  
Title: Modeling the Stockist
 Presenting Author: Omkar Palsule Desai,Associate Professor, Indian Institute of Management Indore, Prabandh Shikhar, Rau Pithampur Road, Indore Ma 453556, India, omkardpd@iimahd.ernet.in
 Co-Author: Ananth Iyer,Professor, Krannert Business School, Purdue University, Lafayette, United States of America, aiyer@purdue.edu
 
Abstract: We focus on the problem of distribution to the millions of small shops that constitute the retail sector in India, as well as many other developing countries. We model the role of a stockist - a supply chain entity whose role is to facilitate distribution. We use a principal agent model structure, with a complements or substitutes relationship between manufacturer assistance and retailer impact, to understand the optimal contract structure, i.e., level of assistance and associated retail margin.
  
Title: Automatic Design of Methods for Combinatorial Optimization Problems
 Presenting Author: Lucas Parada,General Manager, Universidad de Concepcion, Avenida Inglesa 134 / 504, Concepcion 4040409, Chile, lucasparada20@gmail.com
 
Abstract: Designing an method to solve an optimization problem is a complex intellectual task. However, to design an algorithm is also an optimization problem. To solve this second level problem we combine and evolve elementary algorithmic components through genetic programing. The produced algorithms show promising features such as low solution errors and small computational times for several classical optimization problems.
  
Title: Bayesian Adjusted Uplift Modeling for Direct Mail Campaign
 Presenting Author: Yidong Peng,Conclusive Analytics, 13620 Reese Boulevard E. Suite 300, Huntersville NC 28078, United States of America, yidong.peng@ndsu.edu
 
Abstract: The study compares the performance of traditional respond model, uplift model and our proposed Bayesian adjusted uplift model on selecting customers for direct mail campaign. The proposed model applies customers’ responses to historical campaign to generate the posterior uplift estimates based on result of uplift model. A case study is conducted to verify that the proposed model provides higher sales lift by using the real monthly directly campaign data from a top auto-parts retail company.
  
Title: How to Make Big Blue (IBM) Business Segments Fast and Responsive
 Presenting Author: Alan Piciacchio,Senior Technical Staff Member / Lead Request For Service Business Analyst In Rfs, IBM, 2455 South Road, Poughkeepsie NY 12590, United States of America, alanpic@us.ibm.com
 Co-Author: Jose Cano,IBM, BLDG F30, Heredia, Costa Rica, jcano@cr.ibm.com
 Skip Jahn,IBM, SOM4, Somers NY, United States of America, jahn@us.ibm.com
 
Abstract: This poster will describe how a big company like IBM can be nimble and fast and responsive. Over the past 3 years - in the growth segment (hundreds of millions of dollars yearly) of IBM’s Global Technology Services unit, an impactful set of analytics and actions have been deployed to dramatically improve business revenue by tens of millions of dollars, via a 65% improvement in cycle time.
  
Title: Continuum Approximation Modeling of Freight Distribution Systems
 Presenting Author: Mahour Rahimi,University of Massachusetts, Amherst, 139 Marston Hall, 130 Natural Resources Rd., Amherst MA 01003, United States of America, mrahimi@umass.edu
 Co-Author: Eric Gonzales,University of Massachusetts, Amherst, Department of Civil & Environmental Eng., 130 Natural Resources Road, Amherst MA 01003, United States of America, gonzales@umass.edu
 
Abstract: This study presents a continuous approximation model for truck deliveries which relate the operating parameters to the characteristics of the service and network, service area, and demand rate. The objective of this study is to minimize the total cost of distributing multicommodity freight from an origin to randomly distributed points, with or without transshipments, and within a limited amount of time. Two different distribution methods are considered: peddling, and peddling with transshipment.
  
Title: ***NO SHOW***Modeling Relation Between Natural Problems and Formal Structures: A Health Systems Application
 Presenting Author: Edmond Ramly,University of Wisconsin-Madison, 20 Sherman Terrace, Unit 6, Madison WI 53704, United States of America, edmond.ramly@gmail.com
 
Abstract: We formulate a class of cyber-social systems where formal (mathematical) and natural (problem structuring) operations research are complementary and insufficient separately. We adapt the Hertz-Rosen Modeling Relation from systems biology as a unifying framework relating natural and formal systems with encoding and decoding operations. We present a category-theoretic axiomatization and a demonstration of complementarity in a health IT evaluation case.
  
Title: Analytic Network Process: Assisting Computers to Think Like Humans?
 Presenting Author: Elena Rokou,Chief Research Officer, Creative Decisions Foundation, Ellsworth Ave, Pittsburgh PA, United States of America, EROKOU@GMAIL.COM
 
Abstract: Whatever your stance is on Artificial intelligence, it is generally admitted that it has not yet enabled computers to make satisfactory decisions. Methods like Neural Networks, can train computers to make decisions for simpler types of tasks, but the ANP can factor in morality, ethics and broader considerations associated with complex decisions. We want computers to think more like humans, thoughtful and compassionate in their choices, and ANP enables this type of higher-level decision-making.
  
Title: An Energy-aware Multiobjective Scheduling Optimization Framework for Sustainable Manufacturing
 Presenting Author: Saeed Rubaiee,Wichita State University, 2119 Malcolm Street, Wichita KS 67208, United States of America, ssal21@gmail.com
 Co-Author: Mehmet Bayram Yildirim,Professor, Wichita State University, 1845 n fairmount st, Wichita KS 67260, United States of America, Bayram.Yildirim@wichita.edu
 
Abstract: The goal of this paper is to minimize the total tardiness and total energy cost under time-of-use electricity tariffs, where energy prices vary hourly, on a non-preemptive single-machine. The problem is modeled using a mixed-integer multiobjective mathematical programming model to obtain an approximate Pareto front. Results show that the proposed multiobjective NSGA-II genetic algorithm finds a good approximate Pareto front with better diverse solutions and shorter computational CPU times.
  
Title: Early Warning Methods and Predictive Models for Hospital Risk and Readmissions
 Presenting Author: Jakka Sairamesh,Ceo And President, CapsicoHealth, Inc, 2225 E Bayshore Rd STE 200, Palo Alto CA 94303, United States of America, ramesh@capsicohealth.com
 Co-Author: Ruichen Rong,CapsicoHealth, Inc, 2225 E Bayshore Rd STE 200, Palo Alto CA 94303, United States of America, ruichen.rong@capsicohealth.com
 
Abstract: This poster and research abstracts presents the effectiveness of methods for improving patient quality outcomes (e.g. reducing 30-day readmissions) based on clinical and cost based factors. We will present early-warning methods to predict patients at risk of 30-day readmissions based on past admissions, ER visit rates, mortality rates, and charges. The dominant factors includes clinical risk, costs, emergency room visits and mortality rates. The prediction showed nearly 88 percent accuracy.
  
Title: Software License Optimization Model for Software Asset Management
 Presenting Author: Seungbae Sim,Korea Institute for Defense Analyses, 37 Hoegi-ro, Seoul, Korea, Republic of, sbsim@kida.re.kr
 Co-Author: Cheonsoo Yoo,Korea Institute for Defense Analyses, 37 Hoegi-ro, Seoul, Korea, Republic of, cheonsoo@kida.re.kr
 
Abstract: Information System can be generally comprised of hardware and software. As software has been getting more important than hardware, most organizations must reduce increasing software costs and control software assets. Especially, commercial software can be licensed to end-users. We propose the mathematical model considering the complexity of software license types. Also, the case example is presented for validating the proposed optimization model.
  
Title: Optimization Problems Arising in Stability Analysis of Discrete Time Recurrent Neural Networks
 Presenting Author: Jayant Singh,Dept. of Mathematics, North Dakota State University, 1210 Albrecht Boulevard Minard 408, Fargo ND 58102, United States of America, Jayant.Singh@ndsu.edu
 
Abstract: We consider the method of Reduction of Dissipativity Domain to prove global Lyapunov stability of Discrete Time Recurrent Neural Networks. It involves a multi-step procedure with maximization of special nonconvex functions over polytopes on every step. We derive conditions which guarantee an existence of at most one point of local maximum for such functions over every hyperplane. This nontrivial result is valid for wide range of neuron transfer functions.
  
Title: Modular Function Deployment Adapted to the Project Typology in the Development of Modular Products
 Presenting Author: Monique Sonego,Universidade Federal do Rio Grande do Sul, Av. Osvaldo Aranha 99 - PPGEP 5ºandar, 90035-190, Porto Alegre, Brazil, hgmonique@gmail.com
 Co-Author: Angela Danilevicz,Universidade Federal do Rio Grande do Sul, Av. Osvaldo Aranha 99 - PPGEP 5ºandar, Porto Alegre, Brazil, angeladanilevicz@gmail.com
 Márcia Echeveste,Universidade Federal do Rio Grande do Sul, Av. Osvaldo Aranha 99 - PPGEP 5ºandar, Porto Alegre, Brazil, echeveste.mar@gmail.com
 
Abstract: Modular Function Deployment (MFD) is one of the best-known methods for modularization in New Product Development. However, this method is not tailored to different project typologies. We propose an adaptation for the MFD method for different levels of complexity and novelty of each project. This adaptation provides companies with the possibility of choosing the setting of stages and tools that best fit their specific projects by customizing the application of the MFD.
  
Title: Enriching Competitiveness and Connectivity with HLED-inspired Air Service Agreement
 Presenting Author: Andrew Stapleton,Professor Of Supply Chain Management, University of Wisconsin La Crosse, 1725 State Street, La Crosse, WI 54650, La Crosse WI 54650, United States of America, Astapleton@uwlax.edu
 
Abstract: U.S. cargo and passenger airlines will have a greater opportunity to compete for a larger share of freight trade and traffic between the U.S. and Mexico when the new Air Services Agreement (ASA) takes effect January 2016. It is a key element of the US-Mexico High Level Economic Dialogue (HLED), that aims to promote competitiveness and connectivity, foster economic growth, productivity and innovation, and partner for regional and global leadership.
  
Title: The Value of Flexibility in Dynamic Ride-sharing
 Presenting Author: Mitja Stiglic,University of Ljubljana, Kardeljeva Plošcad 17, Ljubljana 1000, Slovenia, mitja.stiglic@ef.uni-lj.si
 Co-Author: Niels Agatz,Rotterdam School of Management, Erasmus University, Burgemeester Oudlaan 50, Rotterdam 3062, Netherlands, nagatz@rsm.nl
 Mirko Gradisar,University of Ljubljana, Kardeljeva plošcad 17, Ljubljana 1000, Slovenia, miro.gradisar@ef.uni-lj.si
 Martin Savelsbergh,Georgia Institute of Technology, 765 Ferst Drive, Atlanta, United States of America, martin.savelsbergh@isye.gatech.edu
 
Abstract: We consider a dynamic ride-sharing system that allows people with similar itineraries and time schedules to share rides. Participants are willing to somewhat adapt their trip plans in order to be matched. We study how participants' flexibility in departure times and the willingness of drivers to perform detours influence the matching rate and the sustainability of the system. We conduct an extensive computational study to quantify the impact on system performance in a variety of settings.
  
Title: Managing a Bike-sharing System using Wireless Mobility Data
 Presenting Author: Rahul Swamy,University at Buffalo, 49 Englewood (Lower), Buffalo NY 14214, United States of America, rahulswa@buffalo.edu
 Co-Author: Jose Walteros,Morton C. Frank Assistant Professor, University at Buffalo, 413 Bell Hall, Buffalo NY, United States of America, Jose Walteros
 
Abstract: This research aims to provide a mathematical framework for operating a campus bike-sharing system. We use wireless network (WiFi) usage logs to generate a detailed estimation of the inter-building demand across campus. We propose solving a sequence of MILPs to determine: 1) the optimal location of bike stations, 2) the number of bikes to be added to or removed from each station every hour to satisfy the demand-supply needs, and 3) the redistribution logistics, while minimizing overall costs.
  
Title: Configurations of Distribution Strategies
 Presenting Author: Jing Tang,Em-lyon Business School, 23 avenue Guy de Collongueresear, Ecully, France, TJ11.Jessie@gmail.com
 Co-Author: Yeming Gong,Em-lyon Business School, 23 Avenue Guy de Collongue, Ecully, France, GONG@em-lyon.com
 
Abstract: Based on 124 quantitative samples with both first-hand and second hand data, as well as 56 qualitative samples, this paper examines the strategic fit of distribution strategies from the perspective of configuration theory. We find that the fit between operational decisions including infrastructural and structural decisions, and operational competencies including cost and flexibility, has an important effect on business performance.
  
Title: Teaching Machine Learning Methods Based on Systematic Approach Derived from Potential Theory
 Presenting Author: Nadia Udler,Fordham University, 113 West 60 St, New York NY, United States of America, nadiakap@optonline.net
 
Abstract: Many real word problems can be reduced to black box optimization. One of the challenges in the design of black box optimization software is identifying a minimal set of modules for building hybrids for real word applications. Existing software provides such building blocks but they are heuristic thus difficult to teach. We discuss black box optimization library based on systematic approach derived from potential theory. It can be used as educational tool to teach machine learning techniques.
  
Title: Optimizing Player Lineups in Daily Fantasy Sports
 Presenting Author: Nicholas Valentour,Graduate Student, University of Nebraska Omaha, Department of Mathematics, Omaha NE, United States of America, nvalentour@gmail.com
 Co-Author: Betty Love,Associate Professor, University of Nebraska Omaha, Department of Mathematics, Omaha NE, United States of America, blove@unomaha.edu
 
Abstract: The growing market of online fantasy sports has increased demand for providers of daily player projections and optimal fantasy lineups. Fantasy lineup optimization is a variant of the multiple choice knapsack problem. We develop an integer linear programming algorithm to identify optimal daily lineups. Further, we combine the algorithm with forecasting to examine the overall fantasy performance on historical basketball data.
  
Title: Design and Operation of a Last Mile Transportation System
 Presenting Author: Hai Wang,MIT ORC, 2D 550 Memorial Drive, Cambridge MA 02139, United States of America, haiwang@smu.edu.sg
 
Abstract: The Last Mile Problem refers to the provision of travel service from the nearest public transportation node to a home or office. Last Mile Transportation Systems (LMTS) are critical extensions to traditional public transit systems. We study the design and operation of a LMTS from three perspectives: (1) performance evaluation from a queueing perspective; (2) system operation from an optimization perspective; and (3) demand estimation from an inference perspective.
  
Title: Competition Strategies of Platform-based Retailing
 Presenting Author: Man Wang,Guanghua School of Management, Peking University, No.5 Yiheyuan Road Haidian District, Beijing, China, dream26@pku.edu.cn
 Co-Author: Lihua Chen,Peking University, No.5 Yiheyuan Road Haidian District, Beijing, China, chenlh@gsm.pku.edu.cn
 
Abstract: While collaborating with third-party sellers via opening infrastructure online, platform-based retailers and third-party sellers run into a head-to-head price competition. We show that when the inventory of the platform-based retailer is sufficient, higher service quality can bring larger competitive profits. However, it may not always be optimal for a platform-based retailer to improve its service quality. The platform-based retailer may be worse off when the inventory is shortage.
  
Title: Using Past Scores and Regularization to Create a Winning NFL Betting Model
 Presenting Author: Eric Webb,Graduate Student, Indiana University, 1309 E. 10th Street, Bloomington IN 47405, United States of America, ermwebb@indiana.edu
 Co-Author: Wayne Winston,Clinical Professor, University of Houston, 4800 Calhoun Rd., Houston TX 77004, United States of America, wlwinston@uh.edu
 
Abstract: Is the National Football League betting market efficient? We have devised a profitable betting model that would win 52.9% of the 7,554 bets against the spread it would have made over 33 seasons. Scores from previous weeks are used to estimate the point value of each team’s offense and defense. These values predict next week’s scores, and a bet is placed against the advertised spread. The sum of squares of offensive/defensive point values are constrained to be less than a regularization constant.
  
Title: Self-organized Deliberative Agent and its Application in Medical Claim Editing
 Presenting Author: Jack Xue,Exec. Application Architect, National Government Services, Anthem, 8115 Knue St., Indianapolis IN 46250, United States of America, xinjian.xue@anthem.com
 
Abstract: In this system each agent self-adjusts its organization per environments before execution and optimizes itself both in structure and in execution steps to meet Service Level Agreement. The scheduling algorithm is formatted as an LP or MILP then generalized to stochastic with uncertainty in phase transitions. The efficacy is demonstrated in a medical claim editing system that identifies irregularities in million claims with calculations of terabyte current and historical data, in near real-time.
  
Title: Behavioral Analysis of Participants in Community Outreach Intervention Projects
 Presenting Author: Haoxiang Yang,Northwestern University, 2145 Sheridan Road, Room C151, Evanston IL 60208, United States of America, haoxiangyang2019@u.northwestern.edu
 Co-Author: Alexander Gutfraind,Research Assistant Professor, School of Public Health, University of Illinois at Chicago, 1603 W. Taylor St, M/C 923, Rm 846, Chicago IL 60612, United States of America, agutfraind.research@gmail.com
 David Morton,Professor, Northwestern University, 2145 Sheridan Road, Evanston IL 60208, United States of America, david.morton@northwestern.edu
 
Abstract: The Community Outreach Intervention Projects (COIP) serves the Chicago metropolitan area, providing support for drug users to help prevent infectious diseases. Using about 10 years of data, we study the behavior of participants in COIP’s syringe exchange program, focusing on the temporal process governing their visits to storefronts and demographics. With a better understanding of the participants’ behavior, we aim to help develop an improved marketing plan for COIP.
  
Title: A Schatten-p Norm Perturbation Inequality and its Application in Low Rank Matrix Recovery
 Presenting Author: Man Chung Yue,The Chinese University of Hong Kong, RM 2511,Man Tai House, Tsz Man Est,, Tsz Wan Shan, KLN, Hong Kong, Hong Kong - PRC, mcyue@se.cuhk.edu.hk
 Co-Author: Anthony Man-cho So,Department of Systems Engineering and Engineering, The Chinese University of Hong Kong, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong, Hong Kong - PRC, manchoso@se.cuhk.edu.hk
 
Abstract: Low-rank matrix recovery, with its applications in finance, network localization, etc, has recently attracted intense research and can be formulated as a rank minimization. Because of the NP-hardness, a common heuristic is to use the Schatten-p norm minimization as a surrogate. However, the equivalence property of this remains elusive and hinges on a conjectured matrix inequality. We prove this conjecture and derive sufficient conditions for low-rank matrix recovery using Schatten-p heuristics.
  
Title: Demand Prediction and Two-stage Inventory Policy for an Online Flash Sale Retailer
 Presenting Author: Mengzhenyu Zhang,University of Michigan, Stephen M. Ross School of Business, 701 Tappan Ave, Ann Arbor MI 48109, United States of America, zhenyuzh@umich.edu
 
Abstract: We show the work cooperated with an online flash sale retailer in China. With millions history sales records, we use machine learning techniques to predict demand and propose a two stage inventory policy, which requires to response quickly to early-hour real sales and restock inventory thereafter. A model is built to explain positive and negative effects of our policy. Experimenting on real data, we help this firm increase profit by approximately 18% and reduce remaining inventory by over 50%.
  
Title: Heuristics for Bicycle Sharing System Repositioning Problem
 Presenting Author: Mary Kurz,Clemson University, 110 Freeman Hall, Clemson SC 29634, United States of America, mkurz@clemson.edu
 Co-Author: Ling Zu,Clemson University, 110 Freeman Hall, Clemson SC 29634, United States of America, lzu@g.clemson.edu
 
Abstract: This paper studies the static bicycle repositioning problem with real NYC Citi system data. It selects a subset of stations to visit, sequences them, and determines the pick-up/drop off quantities in each visited station. The study incorporates real problem characteristics by minimizing total penalties of lacking/ overflowing bicycles and routing cost. A Variable Neighborhood Search heuristic is introduced to solve the described problem.
  
Title: Ranking Universities: Practices, Problems and Way Forward
 Presenting Author: Muhammad Mukhtar,Professor, American University of Ras Al Khaimah, (AURAK), Ras Al Khaimah 10021, United Arab Emirates, mukhtar.muhammad@gmail.com
 Co-Author: Sarah Mukhtar,Student, Department of Biology, Drexel University College of Medicine, Philadelphia PA 19102, United States of America, s.mukhtar507@gmail.com
 Zahida Parveen,Senior Scientist, Angle North America, 3711 Market Street, Philadelphia PA 19104, United States of America, chem304@gmail.com
 Brian Wigdahl,Professor And Chair, Department of Microbiology and Immunology, Drexel University College of Medicine, 245 North 15th Street, Philadelphia PA 19102, United States of America, Brian.Wigdahl@drexelmed.edu
 
Abstract: We report here a comparison of various global ranking systems of universities and their impacts in the society. Five global ranking systems parameters evaluations revealed that Times Higher Education Ranking System is more appropriate when compared with other ranking systems. Our analyses revealed that discipline wise ranking by various global rankers are creating dilemmas for the parents and public to decide about their children education. We propose normalization of ranking systems.
  
Title: Deriving an Optimum URE Analysis Algorithm using Decision Analysis Techniques
 Presenting Author: Joseph Friedel,NSWC, Indian Head MD, United States of America, joseph.friedel@navy.mil
 
Abstract: The field of Unintended Radiated Emissions (URE), due to the ever-growing prevalence and intrusion of electronics in our lives, requires faster and more accurate algorithms, with the discipline of Decision Analysis (DA) providing the techniques to accomplish this goal. URE is the detectable electromagnetic field (EMF) that all electronic devices and systems emit. Similar devices have similar EMFs making URE ideal for detection and identification of electronics. The Systems Engineering sector of DA has not been formerly studied for the application of algorithm development in the underdeveloped sphere of URE exploitation. A formal application of DA principles to URE would be a novel use of decision analysis, while simultaneously providing the tools to improve the speed and accuracy of URE data evaluation. With the continuous miniaturization of electronics and the corresponding increase of its use in privacy invasion, spying, and even terrorist activity, the ability to detect concealed electronics has made the need for URE development urgent. The same urgency drives the need for faster and more accurate detection to quickly and effectively neutralize threats. The complexity of URE, with its multiple parameters, noise susceptibility and time variance makes DA’s Multi-Criteria Decision Making (MCDM) techniques ideal for advancing URE analysis. This presentation will be of interest to practitioners of Decision Analysis for addressing problems in an evolving domain, with MCDM and other DA techniques, and to technologists working in URE for its original and improved approach to signal identification.
  
Title: Usability Evaluation of a Mobile App to Reduce Congestive Heart Failure (CHF) Readmissions
 Presenting Author: Minal Singhee,Master's Student, H. John Heinz III College, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh PA 15213, United States of America, msinghee@andrew.cmu.edu
 Co-Author: Daniel Gartner,Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh PA 15213, United States of America, dgartner@andrew.cmu.edu
 Sriram Iyengar,Texas A&M University, 401 Joe Routt Blvd,, College Station TX 77843, United States of America, sriram@guidevue.com
 Jina Lee,Master's Student, H. John Heinz III College, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh PA 15213, United States of America, jinalee@andrew.cmu.edu
 Rema Padman,Professor Of Management Science & Healthcare Informatics, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh PA 15213, United States of America, rpadman@cmu.edu
 
Abstract: Congestive Heart Failure (CHF) is a major chronic condition affecting more than 5 million people in the US. CHF readmissions is one of the major contributors to the burgeoning healthcare cost. In our study, we evaluate factors associated with the usability and acceptability of a mobile application intended to reduce CHF readmissions. A fixed protocol was developed which included Think Aloud Protocol, Quiz and a Questionnaire. Qualitative and quantitative analyses were performed.