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Cluster :  Interactive Session

Session Information  : Tuesday Nov 11, 12:00 - 14:30

Title:  Tuesday Poster Session
Chair: Hari Balasubramanian,University of Massachusetts-Amherst, Amherst MA, United States of America, hbalasub@admin.umass.edu

Abstract Details

Title: Evaluation of Courses in a Higher Education Institution
 Presenting Author: Carla Schwengbe ten Caten,Federal University of Rio Grande do Sul, Porto Alegre, Brazil, carlacaten@gmail.com
 Co-Author: Cesar Pandolfi - Docência,Universidade do Rio Grande do Sul, Alvaro Ferreiro Porto, Caxias do Sul, Brazil, cesar.pandolfi@fsg.br
 
Abstract: The objective is to evaluate the changes in data collection for courses evaluation in a higher education institution. It has been used the internal consistency analysis and multivariate analysis. It is characterized as a case study, applied and descriptive. It has shown that the results can be grouped into three levels of satisfaction. It serves as basis for analysis and reorganization of the practices adopted by the courses.
  
Title: Clustering Items on the Web through Modelling user Communities
 Presenting Author: Masssey Cashore,University of Waterloo, Waterloo ON, Canada, jmcashor@uwaterloo.ca
 Co-Author: Peter Frazier,Cornell University, Ithaca NY, United States of America, pf98@cornell.edu
 Xiaoting Zhao,Cornell University, Ithaca NY, United States of America, xz337@cornell.edu
 
Abstract: The challenge of discovering structure in unlabelled data is important as ever in today’s society. The cornerstone problem in this setting is clustering, that is, partitioning the items in a manner that coincides with the structure of the items. In this paper we present a probabilistic model of user-item interaction that allows us to cluster items and users, taking into account both user interaction data and item content. The model hinges on the assumption that users exist in communities and items exist in clusters such that the interest of a user in an item is completely determined by the user’s community membership and the item’s cluster membership. We construct a Gibbs sampler for inference, and apply the Gibbs sampler to a real life dataset from arXiv.org. Comparing the community clusters to a simpler clustering methods, we see several improvements in recommendation system accuracy, and the ability to partition items based on a real-world phenomenon from arXiv.org.
  
Title: Delivery Vehicle Routing at the Regional Food Bank of Oklahoma
 Presenting Author: Weikao Wu,Oklahoma State University, Stillwater OK, United States of America, weikao@ostatemail.okstate.edu
 Co-Author: Andrea Lewis,Oklahoma State University, Stillwater OK, United States of America,
 Katie Luster,Oklahoma State University, Stillwater OK, United States of America,
 
Abstract: The Regional Food Bank would like to meet the needs of the growing population of hungry in Oklahoma. To do this, they have to improve the efficiency of their operations, reduce their delivery costs and increase their delivery capacity. This paper reports on our project seeking improvements in the routing of their delivery operations. We identified several improvements to their current software usage which will enable the Food Bank to better route deliveries. Resulting cost savings will allow for over 6 million additional meals to be provided annually by the Food Bank based on projections developed from the test cases.
  
Title: Location Optimization for AYGAZ Auto Gas Facilities
 Presenting Author: Birce Sari,Koc University, Istanbul, Turkey, birsari@ku.edu.tr
 Co-Author: Beyza Turan,Koc University, Istanbul, Turkey, beturan@ku.edu.t
 Kerem Uzun,Koc University, Istanbul, Turkey, ceuzun@ku.edu.tr
 Ceren Yavuz,Koc University, Istanbul, Turkey, cyavuz@ku.edu.tr
 
Abstract: A location decision for distribution centers and their service regions is often one of the most critical fundamentals for success of an organization. This project summarizes the system and dynamics of Aygaz auto gas business in Turkey and suggests the deterministic model formulation of facility location problem in order to minimize the overall cost. Our aim is to allocate feasible number of auto gas storage facilities in different cities, creating a new supply channel for Aygaz; in addition to Aygaz’s six port terminals. The results of the project will be taken into consideration by strategic management of Aygaz for prospective investments.
  
Title: Missed Opportunities in Preventing Hospital Readmissions: Redesigning Post-Discharge Checkup Policies
 Presenting Author: Michael Hu,University of Michigan, Ann Arbor MI, United States of America, humich@umich.edu
 Co-Author: Jonathan E. Helm,
 Mariel S. Lavieri,
 Xiang Liu,
 Ted A. Skolarus,
 Kedi Wu,
 
Abstract: Hundreds of thousands of patients experience hospital readmissions every year, negatively impacting patients and placing a tremendous burden on the national healthcare system. Post-discharge checkup policies can reduce readmissions through early detection of health conditions, however, the methods behind designing effective checkup policies are poorly understood. Under current practice, up to 67% of patients are readmitted before the first scheduled checkup. We develop an analytical model based on delay-time analysis to identify the optimal type, number, and timing of checkups. Analyzing the structure of optimal policies, we develop schedules that avert at least 32% more readmissions than current practice.
  
Title: System of Systems Architecture Generation using Evolutionary Algorithms & Negotiation Strategy
 Presenting Author: Siddhartha Agarwal,Missouri University of Science and technology, Department of Engineering management and, Rolla MO 65401, United States of America, sa265@mst.edu
 
Abstract: Our attempt is to present a module within integrated SoS architecting model called FILA-SoS (flexible intelligent and learning architectures for systems of systems). FILA-SoS capabilities include SoS meta architecture generation, flexible and robust architecture assessment, and final architecture implementation through simulated negotiations.The paper uses evolutionary algorithms-Fuzzy nets to generate meta-architectures.
  
Title: ***LATE CANCELLATION 10-7***Multi-resolution Analysis (MRA): Integrating Methodologies for Today’s Analytical Challenges
 Presenting Author: John Tindle,Director, Analytical Services, TASC, Inc., 1795 Jet Wing Drive, Suite 100, Colorado Springs CO 80916, United States of America, john.tindle@tasc.com
 
Abstract: The premise of Multi-Resolution Analysis (MRA) is that complex domains of capability should be analyzed from different perspectives with tailored models and tools appropriate for each perspective, but with the 5 OR & DA segments of the analysis integrated to provide traceability of cause and effect for combined total impact.
  
Title: Optimal Bidding Strategy Based on Parametric Linear Programming Considering Incomplete Information
 Presenting Author: Feng Gao,Ventyx, an ABB Company, 451 El Camino Real, Santa Clara CA, United States of America, feng.gao@ventyx.abb.com
 Co-Author: Kory Hedman,Arizona State University, 1151 South Forest Avenue, Tempe AZ, United States of America, khedman@asu.edu
 
Abstract: Electricity market participants face risks and uncertainties associated with the changing market environment. A profit-driven bidding system is crucial for generation companies to maintain a competitive position. This paper presents an optimal bidding strategy derived by parametric linear programming and extends it to consider incomplete information. We show that the proposed algorithm is able to utilize the characteristics of piecewise staircase offer curves in contrast to existing methods.
  
Title: Optimization of Treatment Decision for Glycemic Control for Patients with Type 2 Diabetes
 Presenting Author: Yuanhui Zhang,Center for Disease Control and Prevention, 4770 Buford Highway, Chamblee GA 30341, United States of America, yuanhui.zhang@gmail.com
 Co-Author: Brian Denton,Associate Professor, Department of Industrial and Operations Engineering, University of Michigan, 1857 IOE Building, 1205 Beal Avenue, Ann Arbor MI 48109, United States of America, btdenton@umich.edu
 Jennifer Mason,Department of Public Health Sciences, University of Virginia, Hospital West Complex Suite 3000, P O Box 800717, Charlottesville VA 22908, United States of America, jem4yb@virginia.edu
 Nilay Shah,Division of Health Care Policy and Research, Mayo Clinic, 200 First St. SW, Rochester MN 55905, United States of America, shah.nilay@mayo.edu
 Steven Smith,Division of Endocrinology, Mayo Clinic, 200 First St. SW, Rochester MN 55905, United States of America, smith.steven@mayo.edu
 
Abstract: The main objective for care of type 2 diabetes is to control the patient’s glycated hemoglobin (HbA1c) to reduce the risk of the diabetes complications. Uncertainty in the progression of HbA1c and the treatment effects make treatment decisions challenging. We present a Markov decision process to maximize the patient’s expected quality-adjusted life years prior to major complications. We present the structure of the optimal policy and compare it to current guidelines.
  
Title: A Web Tool for Model-based Decision Support
 Presenting Author: Joseph Kahn,Novartis Pharmaceuticals, 1 Health Plaza, East Hanover NJ 07960, United States of America, joseph.kahn@novartis.com
 Co-Author: Peter Danenberg,Data Infrastructure Engineer, Google, Mountain View CA, United States of America, danenberg@google.com
 Chien-Hsun Huang,Data Scientist, American Express, 1255 Amsterdam Ave room 931, 9/F SSW, MC4690, New York NY 10027, United States of America, ch2526@columbia.edu
 Vineet Joshi,Software Developer & Sys Admin, University of Cincinnati, 3223 Eden Ave, Cincinnati OH 45267, United States of America, joshivt@mail.uc.edu
 Dipika Mukherjee,Decision Technology Analyst, Avis Budget Group, 6 Sylvan Way, Parsippany NJ 07054, United States of America, dipika.mukherjee@gmail.com
 Richard Nixon,Associate Director, Novartis Pharmaceuticals, Fabrikstrasse 2, 4056, Basel, Switzerland, richard.nixon@novartis.com
 
Abstract: Decision models yield insights for drug development, but lack of automation hampers systematic use. Hence, we developed a web-based tool, incorporating decision analysis best practices. The tool compares "strategy table" scenarios, identifying influential parameters and risks. Its uses have included trial design, and prioritizing among indications. The tool drives models in the open-source R language. By automating decision models, the tool facilitates faster insights and reduces manual errors.
  
Title: Evaluation of Breast Cancer Mammography Screening Policies Considering Adherence Behavior
 Presenting Author: Mahboubeh Madadi,University of Arkansas, 900 N Leverett, Fayetteville AR 72701, United States of America, mmadadi@email.uark.edu
 Co-Author: Louise Henderson,Assistant Professor, University of North Carolina, Dept. of Radiology, Chapel Hill, United States of America, louise_henderson@med.unc.edu
 Shengfan Zhang,University of Arkansas, Dept of Industrial Engineering, Fayetteville AR 72701, United States of America, shengfan@uark.edu
 
Abstract: Incorporating heterogeneity in women’s adherence behavior, a randomized partially observable Markov chain model is developed to evaluate a wide range of screening mammography policies. Screening policies are compared in terms of quality adjusted life years (QALYs) and breast cancer lifetime mortality risk. Our results show that women with perfect adherence do not always experience higher QALYs. However, in terms of lifetime mortality risk women with higher adherence rate always have lower risk.
  
Title: Hospitalists and Hospital Productivity
 Presenting Author: Rezwan Haque,Harvard Business School, Soldiers Field Road, Boston MA 02163, United States of America, rhaque@hbs.edu
 Co-Author: Robert Huckman,Harvard Business School, Soldiers Field Road, Boston MA 02163, United States of America, rhuckman@hbs.edu
 
Abstract: We investigate an important recent trend in inpatient care: the emergence of primary care doctors, known as hospitalists, who spend all of their professional time in the hospital. We find that hospitalist use is associated with reductions in length of stay for the most complex patients. This outcome could be due to the fact that hospitalists develop more process familiarity, which enables them to be better at tasks such as care coordination that are especially important for complex patients.
  
Title: Bank Marketing Analysis using Multivariate Techniques
 Presenting Author: Nasim Nezamoddini,State University of New York at Binghamton, 13 Goethe St., Binghamton NY 13905, United States of America, nasim.nezam@gmail.com
 
Abstract: This research applies multivariate techniques to find customers willing to invest in new projects. To increase the accuracy of the predictions, different types of customers are identified using clustering techniques. Then specialized prediction models are built in terms of advertisement strategies, customers’ characteristics and their attitude obtained by factor analysis.
  
Title: Integrating Relativity into Multi-Attribute Utility Model: An Application on Product Improvements
 Presenting Author: Selin Erguncu,Doctoral Candidate, Koc University, Istanbul, Turkey, serguncu@ku.edu.tr
 
Abstract: Building on MAUT, we propose a framework that recognizes ‘relativity’ effect in multi-alternative evaluations. We show that each alternative under consideration acts as a 'reference point' for others and choosing an alternative (vs. rating it) decreases its perceived utility. Applying our framework on the assessment of product improvements, we further show that improving a poor (vs. strong) attribute is a better strategy and improvements are more attractive for first-time buyers (vs. switchers).
  
Title: A Statistical Human Resources Planning in a Call Center
 Presenting Author: Kosuke Shaku,Tokyo Gas Co., Ltd., 5-20 Kaigan 1-chome, Minato-ku, Tokyo, Japan, shaku@tokyo-gas.co.jp
 Co-Author: Toshinori Sasaya,Tokyo Gas Co., Ltd., 5-20 Kaigan 1-chome, Minato-ku, Tokyo, Japan, sasaya@tokyo-gas.co.jp
 Koji Takayasu,Tokyo Gas Co., Ltd., 5-20 Kaigan 1-chome, Minato-ku, Tokyo, Japan, takayasu@tokyo-gas.co.jp
 
Abstract: A call center is considered as a queueing network and some results from queueing theory are often applied to calculate the necessary number of agents to maintain a desired service level. However, the actual situation in a call center is complicated compared to the prerequisites of basic formulae in queueing theory such as Erlang C formula because of varieties in both inbounding calls and agent skills. We present a new statistical human resources planning to avoid such problems.
  
Title: Linguistic Indicators of Satisfaction and Intent in Online Text-based Customer Service Chats
 Presenting Author: Lee Spitzley,University of Arizona, 1130 E. Helen St., McClelland Hall 430, Tucson AZ 85721, United States of America, lspitzley@email.arizona.edu
 Co-Author: Justin WIlliams,University of Arizona, 1130 E. Helen St., McClelland Hall 430, Tucson AZ 85721, United States of America, jwilliams@cmi.arizona.edu
 
Abstract: Online, text-based chat is an important way for companies to provide customer support through a web interface. It is unclear how the customer service representative’s (CSR) language influences the customer’s satisfaction and likelihood to recommend the product. We propose to study the language of CSRs in an online customer support scenario to identify meaningful language characteristics that have an ability to predict satisfaction and likelihood to recommend the product.
  
Title: ***LATE CANCELLATION***Real-time Integrated Airport Surface Operations Management
 Presenting Author: Yu Zhang,Assistant Professor, University of South Florida, 4202 E. Fowler Ave, ENB 118, Tampa FL 33620, United States of America, yuzhang@usf.edu
 Co-Author: Qing Wang,University of South Florida, 4202 E. Fowler Ave, ENB 118, Tampa FL 33620, United States of America, qingwang@mail.usf.edu
 
Abstract: This paper describes a real-time integrated airport surface operations management (RTI-ASOM) that provides optimal 4-D trajectories for aircraft between gate and runway with the objective of minimizing taxi delay and maximizing runway throughput. The use of MIP formulation, Dynamic Programming for runway sequencing, and Visual Basic scripted interface solve the large-scale optimization problem instantly, with examples based on one-day track data at LaGuardia Airport (LGA).
  
Title: Monitoring and Predicting the Patient’s Length of Stay in Hospital Using Regression Control Charts
 Presenting Author: Nasibeh Azadeh-Fard,PhD Student, Virginia Tech, 250 Durham Hall, Blacksburg VA 24060, United States of America, nasibeh@vt.edu
 Co-Author: Jaime Camelio,Associate Professor, Virginia Tech, 250 Durham Hall, Blacksburg VA 24060, United States of America, jcamelio@vt.edu
 
Abstract: Modified Early Warning Scoring (MEWS) system, a triage tool that is widely used by healthcare providers, can quickly determine the severity of patient’s illness. The goal of this study is to assess the correlation between admission MEWS and patient’s length of stay in the hospital. We utilize this correlation to further monitor the length of stay using the regression control charts. This tool can help hospital staff to predict patient’s length of stay, which can lead to more effective management of patient’s needs, as well as early resource allocation.
  
Title: Integrated Optimization on Outsourcing and Production Decisions in Global Supply Chain
 Presenting Author: Lu Zhen,Professor, Shanghai University, Shang Da Road 99#, School of Management, Shanghai 200444, China, lzhen@shu.edu.cn
 
Abstract: Manufacturers in China are facing decisions on supplier adoption in overseas and domestic markets, production plans for customers in the two markets. These decisions are intertwined. This paper studies an integrated optimization problem on outsourcing and production decisions under environment of global supply chain and China’s export-oriented tax policies. A three stage decision model is proposed. A cross entropy based solution method is also developed for solving the three stage model.
  
Title: ***LATE CANCELLATION 11-2***Children for Wealth- Fertility Competetion
 Presenting Author: Bumi Camara,University of Goettingen, Platz der Sieben 5, Goettingen 37073, Germany, bcamara@uni-goettingen.de
 
Abstract: This paper examines the inter-play between inheritance laws and poverty among women in Africa and how this interaction induces high fertility for women in polygamy. I provide evidence of fertility competition among women in polygamy. Polygamy but not monogamy is associated with high fertility if the husband is affluent. Birth spacing is much shorter and contraceptive use is less likely among co-wives whose husband owns inheritable wealth. Results imply intergenerational poverty in Africa.
  
Title: Salesforce Contracts Equilibrium for Inventory Optimum with Customer Loyalty Moderating Effects
 Presenting Author: Yu-Ching Chern,National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei, Taiwan - ROC, d02546004@ntu.edu.tw
 Co-Author: Gwo-Hshiung Tzeng,National Chaio Tung University, NO.1001 University Road, Hsinchu, Taiwan - ROC, ghtzeng@cc.nctu.edu.tw
 
Abstract: We present a multistage model to optimize firm's contracts which induce salesmen’s productive behaviors and elicit market demand information.Our model aims to simultaneously resolve the moral hazard and the adverse selection problems.Employing the firm's equilibrium strategy and salesforce’s optimal actions,the inventory cost and profits outperforms other existing compensation schemes.Results also indicate that loyal customer base act as implicit incentives to motivate salesperson's performance.
  
Title: Clinical Prediction of Metastatic Disease among Newly Diagnosed Prostate Cancer Patients
 Presenting Author: Maria Correa,Department of Industrial Engineering, St. Mary's University, 1 Camino Santa Maria, San Antonio TX 78228, United States of America, marifercorreag@hotmail.com
 Co-Author: Brian Denton,Associate Professor, Department of Industrial and Operations Engineering, University of Michigan, 1857 IOE Building, 1205 Beal Avenue, Ann Arbor MI 48109, United States of America, btdenton@umich.edu
 Jianyu Liu,Department of industrial and Operations Engineering, University of Michigan, 500 S State Street, Ann Arbor MI, United States of America, jianyuliu@umich.edu
 Selin Merdan,Department of Industrial and Operations Engineering, University of Michigan, 1640 McIntyre Street, Ann Arbor MI 48109, United States of America, smerdan@umich.edu
 David Miller,Department of Urology, University of Michigan, 500 S State Street, Ann Arbor MI 48109, United States of America, dcmiller@med.umich.edu
 Paul Womble,Department of Urology, University of Michigan, 500 S State St, Ann Arbor MI 48109, United States of America, pwomble@med.umich.edu
 
Abstract: Computed Tomography (CT) and Bone Scan (BS) are imaging tests for detection of metastatic disease among prostate cancer patients. We performed statistical validation of predictive models for CT and BS outcomes to help physicians decide when to recommend patients for imaging. We applied several methods for internal and external validation including leave-one-out and bootstrapping. We present results from our analysis and discuss plans for implementation of the models in a smart phone application.
  
Title: Multi Sales Channel Competition with Product Returns: The Impact of Restocking Fee Legislation
 Presenting Author: Rita Difrancesco,WHU-Otto Beisheim School of Management, Burgplatz 2, Vallendar 56179, Germany, rita.difrancesco@whu.edu
 Co-Author: Arnd Huchzermeier,WHU-Otto Beisheim School of Management, Burgplatz 2, Vallendar 56179, Germany, arnd.huchzermeier@whu.edu
 
Abstract: With the explosive growth of the internet, the brick-and-mortar stores are either integrated or substituted by the online channel. We model the multiple sales channels competition with product returns and analyze the equilibrium structure. We investigate the effect of restocking fees and a new EU legislation concerning free returns.
  
Title: A Comprehensive Sensitivity Analysis of Travel Time Reliability
 Presenting Author: Meredith Cebelak,University of Texas at Austin, 1616 Guadalupe St., Suite 400, Austin TX 78701, United States of America, mcebelak@utexas.edu
 Co-Author: Jia Li,University of Texas at Austin, 1616 Guadalupe St., Suite 400, Austin TX 78701, United States of America, jiali@utexas.edu
 C. Michael Walton,University of Texas at Austin, 301 E. Dean Keeton St. Stop C1761, Austin TX 78712, United States of America, cmwalton@mail.utexas.edu
 
Abstract: Travel time reliability is a key performance measure of transportation systems. This study examines the simultaneous impacts of infrastructure capacity variability due to inclement weather, incidents, and infrastructure maintenance, and demand variations due to feedback mechanisms and elasticity. A comprehensive sensitivity analysis is perform on travel time using a HCM tool and experiment design, revealing critical contributing factors on daily travel time uncertainty along freeway corridors.
  
Title: International Analysis of Government Strategies for Service Sector Innovation
 Presenting Author: Jessica Brooks,Science Policy Fellow, IDA - Science and Technology Policy Institute, Washington DC 20003, United States of America, jnbrooks@ida.org
 
Abstract: To observe the position of service innovation in the context of broader science and technology innovation policy, the innovation strategies of 15 nations were analyzed. Trends in policy content, including the relationship to IT innovation strategy, are described in order to understand the global landscape of service innovation policy.
  
Title: Flow Path Design in Automated Material Handling Systems
 Presenting Author: Kelly Bartlett,Georgia Institute of Technology, 755 Ferst Dr., Atlanta GA 30332, United States of America, kelly.bartlett@gatech.edu
 Co-Author: Shabbir Ahmed,Deans Professor and Stewart Faculty Fellow, Georgia Institute of Technology, Atlanta GA, United States of America, shabbir.ahmed@isye.gatech.edu
 Junho Lee,PhD Candidate, Georgia Institute of Technology, , H. Milton Stewart School of Industrial, and Systems Engineering, Atlanta GA, United States of America, junholee@gatech.edu
 George Nemhauser,Georgia Institute of Technology, 755 Ferst Drive NW, Atlanta GA 30332, United States of America, george.nemhauser@isye.gatech.edu
 Joel Sokol,Fouts Family Associat Professor, Georgia Institute of Technology, Atlanta GA, United States of America, jsokol@isye.gatech.edu
 
Abstract: In automated material handling systems, dynamic routing has been shown in improve routing efficiency over traditional static routing methods. We demonstrate via high-fidelity simulation that altering flow path design for use with dynamic routing improves routing efficiency by an additional 25%. To facilitate this analysis, we present an automated layout generation tool that allows efficient generation of thousands of potential configurations.
  
Title: ***LATE CANCELLATION***Deductible Insurance and the Transfer of Risk
 Presenting Author: Christopher Gaffney,Stevens Institute of Technology, 1 Castle Point Terrace, Hoboken NJ, United States of America, cgaffney@stevens.edu
 
Abstract: We provide a mean-variance analysis of insurance demand, showing that deductible insurance is preferable to coinsurance. Furthermore, adding either a stop-loss limit or a deductible to the coinsurance model results in an optimal insurance plan equivalent to deductible insurance. An argument concerning the societal benefit of insurance is also given.
  
Title: A Lagrangian Decomposition Approach for Renewable Energy Investment and Operational Decision Model
 Presenting Author: Alireza Ghalebani,PhD Student, University of South Florida, 4202 East Fowler Avenue, ENB 118, Tampa FL 33613, United States of America, alireza@mail.usf.edu
 Co-Author: Tapas Das,Chair of Industrial Engineering Department, University of South Florida, 4202 E. Fowler Ave, ENB118, Tampa FL 33620, United States of America, das@usf.edu
 
Abstract: We studied the structural property of a distributed green energy generation optimization model in order to solve it more efficient comparing to the commercial solvers. The model is an incentive based mixed integer programming optimization for design and control of grid-connected hybrid power systems. It fits well for regions with net-metering policy and time varying price of electricity.
  
Title: Evaluating Cost and Service Level Tradeoffs in a Production and Inventory System with Disruption
 Presenting Author: Jue Gong,Graduate Student, University of Pittsburgh, 3700 O'Hara St., Pittsburgh PA 15261, United States of America, jug29@pitt.edu
 Co-Author: Louis Luangkesorn,Research Assistant Professor of Industrial Engineering, University of Pittsburgh, 1048 Benedum Hall, 3700 O'Hara St., Pittsburgh PA 15261, United States of America, lol11@pitt.edu
 
Abstract: In a production and inventory system with production disruptions, production uncertainty can be managed through setting the produce-up-to level and sizing the production capacity to provide resiliancy. But these choices result in costs for inventory holding and production capacity and the service level of the system. We develop a Markov-chain model for both periodic and continuous-review policies to explore and illustrate the tradeoffs between operating costs, capacity costs, and service level.
  
Title: Modeling of Emergency Management of Urban Extreme Storm Floods Based on Strong Reciprocity
 Presenting Author: Liu Gaofeng,Hohai University, No.200, North Jinling Road, Xinbei District, Changzhou 213022, China, gaofengliu@hhu.edu.cn
 
Abstract: Strong reciprocity theory is introduced into modeling of emergency management of urban extreme storm floods (UESF). Simulations are performed in the example of Jingdezhen city, and the results show that the government strong reciprocity helps to promote emergency cooperation. Besides, rewards and punishment, strong ability of acquiring and processing information, extensive publicity and education can all improve emergency cooperation efficiency and effectiveness of UESF.
  
Title: Analysis of Nonselective and Selective Advertising Strategies in an Oligopoly Setting
 Presenting Author: Chloe Fletcher,College of Charleston, 66 George Street, Charleston SC 29424, United States of America, fletcherca@g.cofc.edu
 Co-Author: Jason Howell,College of Charleston, 66 George Street, Charleston SC 29424, United States of America, howelljs@cofc.edu
 
Abstract: Firms with the ability to identify customers of other firms may implement a strategy where the advertising effort towards competitors' customers differs from that towards uncommitted customers. We present dynamic models for advertising in an oligopoly with fixed market size and sales decay: a nonselective model in which the advertising effort is the same for both types of customers, and a selective model that gives firms the capability to allocate effort across the two categories differently.
  
Title: Food vs Biofuel: Analysis of Land-Use Competition And Environmental Impacts
 Presenting Author: Halil Cobuloglu,Wichita State University, 1845 Fairmount Street, Wichita KS, United States of America, halil.cobuloglu@gmail.com
 Co-Author: Esra Buyuktahtakin,Wichita State University, 1845 Fairmount St, Wichita, United States of America, esra.b@wichita.edu
 
Abstract: In this study, we develop a mixed integer optimization model in order to investigate the economic and environmental tradeoffs between biofuel and food production. This model maximizes the total profit of farmers while satisfying sustainable food supply. Optimal decisions include allocation of lands to food and energy crops, seeding time, harvesting time and amount, and budget allocations to farm operations. The model is applied in Kansas by considering the production of corn and switchgrass.
  
Title: Re-envisioning Decision Quality at ConocoPhillips
 Presenting Author: John Hasar,Development Lead, ConocoPhillips, Rubislaw House, Anderson Drive, Aberdeen AB15 6FZ, United Kingdom, john.hasar@conocophillips.com
 Co-Author: Sharon Rode,Advisor, Collaboration for Decision Quality, ConocoPhillips, 600 North Dairy Ashford, TA-3112, Houston TX 77079, United States of America, sharon.r.rode@conocophillips.com
 
Abstract: ConocoPhillips is changing how and what they share around Decision Quality. Earlier emphasis focused on translating data into quantitative format. While modeling and analysis are needed, not everyone has to be an analyst. Better alternatives are reached by teams highly involved in framing the decision and communicating their knowledge.
  
Title: Efficient Batch Scheduling for a Petrochemical Blending Plant with a Shared Pipeline Network
 Presenting Author: Alessandro Hill,University of Antwerp, Prisstraat 13, Antwerp 2018, Belgium, alessandro.hill@uantwerpen.be
 Co-Author: Trijntje Cornelissens,Professor, University of Antwerp, Prisstraat 13, Antwerp 2018, Belgium, Trijntje.Cornelissens@uantwerpen.be
 Kenneth Sorensen,Professor, University of Antwerp, Prisstraat 13, Antwerp 2018, Belgium, kenneth.sorensen@uantwerpen.be
 
Abstract: We develop an effective scheduling heuristic for realistic production planning of a multi-product, multi-BOM petrochemical blending plant with a complex shared pipeline system. The model takes takes into account component pumping, blending, intermediate storage and filling of the finished products. Our algorithm dynamically prioritizes the production orders and the used dedicated resources to optimize multiple operational objectives. We apply the algorithm to real-world scenarios.
  
Title: Optimization Strategies for the Best Performance of Healthcare Authority Databases using DM
 Presenting Author: Diana Ramirez,CSO, FCIMEC, Carrera 53 No.74-86 Of. 402, Barranquilla, Colombia, dramirez@fcimec.org
 Co-Author: Lauren Castro,FCIMEC, Carrera 53 No.74-86 Of. 402, Barranquilla, Colombia, ljcastro@fcimec.org
 Miguel Jimenez,FCIMEC, Carrera 53 No.74-86 Of. 402, Barranquilla, Colombia, mjimenez@fcimec.org
 Yohany Jimenez,Researcher, LOGYCA, Avenida El Dorado Nº 92 – 32 Modulo G5 P, Bogota, Colombia, yjimenez@logyca.org
 Laura Manotas,FCIMEC, Carrera 53 No.74-86 Of. 402, Barranquilla, Colombia, lpmanotas@fcimec.org
 Heyder Paez,FCIMEC, Carrera 53 No.74-86 Of. 402, Barranquilla, Colombia, heyderpaez@gmail.com
 Luis Ramirez,FCIMEC, Carrera 53 No.74-86 Of. 402, Barranquilla, Colombia, lramirez@fcimec.org
 
Abstract: This paper deals with the application of Data Mining (DM) algorithms as an approach to optimize the performance of data processing of the healthcare authority databases, where huge amount of data is managed regarding the new affiliations to the National Healthcare System and reports on the validation of this data are done at a monthly basis. This strategies are integrated to a Decision Support System (DSS) that was implemented as part of the research project.
  
Title: The Impact of Security in Maintaining Reliable Distributed Control Systems
 Presenting Author: M. Eric Johnson,Professor, Vanderbilt University, Owen Graduate School of Management, Nashville TN 37203, United States of America, Eric.Johnson@vanderbilt.edu
 Co-Author: Andrei Sleptchenko,Professor, Qatar University, Department of Mechanical & Industrial En, Doha, Qatar, andrei.sleptchenko@qu.edu.qa
 
Abstract: We consider the role of security in the maintenance of an automated system, controlled by a network of sensors and simple computing devices. Such systems are widely used in transportation, utilities, healthcare, and manufacturing. We formulate a stochastic model to examine the repair policies for both real and suspected failures.
  
Title: ***LATE CANCELLATION***The Impact of Multi-skilling on Personnel Scheduling in the Retail Industry
 Presenting Author: César Henao Botero,PhD Student, Pontificia Universidad Católica de Chile, Avda. Vicuña Mackenna 4860, Macul, Department of Transportation Engineering, Santiago RM, Chile, cahenao@uc.cl
 Co-Author: Juan-Carlos Ferrer Ortiz,Associate professor, PhD, Pontificia Universidad Católica de Chile, Avda. Vicuña Mackenna 4860, Macul, Industrial Department, Santiago RM, Chile, jferrer@ing.puc.cl
 Juan-Carlos Muñoz Abogabir,Associate professor, PhD, Pontificia Universidad Católica de Chile, Avda. Vicuña Mackenna 4860, Macul, Department of Transportation Engineering, Santiago RM, Chile, jcm@ing.puc.cl
 
Abstract: Retail personnel inflexibility is one of the sources for over- and understaffing. We propose analyze the impacts of assigning multi-skilled personnel to different store departments and its potential for improving schedule efficiency. Our model determines which employees are trained to work in which departments and their assignments over a one-week planning horizon. Some multi-skilling policies are derived from data obtained from a large retail firm in South America.
  
Title: The Effect of Socioeconomic Inequalities on Public Education Performance in Developing Countries
 Presenting Author: Maria Cristina Gramani,Insper, Rua Quatá, 300, Vila Olímpia, São Paulo SP 04546042, Brazil, mariacng@insper.edu.br
 
Abstract: The main objective of this study was to add evidence of the effects of the socioeconomic inequalities on the educational performance. The main question here is: What socioeconomic factor more influences the educational performance? How can we do better? We propose a two-stage model which includes: (1) an educational performance model and, (2) a socioeconomic-education model that identifies characteristics that differentiate the most and least efficient groups.
  
Title: ***LATE CANCELLATION*11-3***Integrating Timetabling and Vehicle Scheduling: Tradeoff Between Transfers and The Fleet Size
 Presenting Author: Omar Ibarra,Post-doc Researcher, Pontificia Universidad Católica de Chile, Vicuña Mackenna 4860, Macul, Santiago, Santiago, Chile, oibarrar@uc.cl
 Co-Author: Ricardo Giesen,Universidad Católica de Chile, Vicu~na Mackenna 4860, Macul, Santiago, Santiago, Chile, giesen@ing.puc.cl
 Yasmin Rios-Solis,Universidad Autónoma de Nuevo León, Av. Universidad s/n, San Nicolás de los, Garza, Nuevo León, Mexico, Monterrey, Mexico, yasmin.riossolis@gmail.com
 
Abstract: In transit systems there is a trade-off between the level of service and operating costs. This study presents a bi-objective integrated model for timetabling and vehicle scheduling problems that maximizes passenger transfers and minimizes the fleet size. We implement an epsilon-constraint method to solve our formulation and analyze the trade-off between the two criteria in terms of Pareto fronts. Numerical experiments show that our proposed approach can solve scenarios with up to 50 bus lines.
  
Title: Evaluation of Construction and Improvement Heuristics for Classification Using Markov Blankets
 Presenting Author: Daniel Gartner,TUM School of Management, Arcisstr. 21, Munich, Germany, daniel.gartner@tum.de
 Co-Author: Rema Padman,Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, United States of America, rpadman@cmu.edu
 
Abstract: This study examines a construction heuristic in connection with a tabu search-based improvement heuristic for classification in high dimensional data sets. Using the UCI machine learning data repository, we evaluate computation times and information about the evolution of the Markov blanket graphical models during the construction and the improvement phase. We compare the performance of the construction and improvement heuristic using classification accuracy as evaluation measure.
  
Title: Profiling Facebook Users’ Privacy Behaviors
 Presenting Author: Bart Piet Knijnenburg,University of California, Irvine, Informatics Department, Irvine CA 92617, United States of America, bart.k@uci.edu
 Co-Author: Heather Richter Lipford,UNC Charlotte, Dept of Software and Information Systems, Charlotte NC 28223, United States of America, heather.lipford@uncc.edu
 Pamela Wisniewski,The Pennsylvania State University, College of Information Sciences and Tech, State College PA 16801, United States of America, pam@pamspam.com
 
Abstract: Social Networks users typically exploit only a subset of the available privacy controls. Using factor analysis and clustering techniques on Facebook users’ privacy behaviors, we uncovered six privacy management profiles. We demonstrate that the variability in these profiles is partially due to a lack of awareness regarding the available controls.
  
Title: Clustering Subgraphs for Repeated Motifs
 Presenting Author: Nam Lee,Johns Hopkins University, 100 Whitehead Hall, 3400 North Charles Street, Baltimore MD 21214, United States of America, nhlee@jhu.edu
 
Abstract: We consider a problem of grouping multiple graphs into several clusters using singular value thesholding and non-negative factorization. We derive a model selection information criterion to estimate the number of clusters. We demonstrate our approach using ``Swimmer data set'' as well as simulated data set, and compare its performance with two standard clustering algorithms.
  
Title: Are You Sure this is the Clothing Style You Defined?
 Presenting Author: Yusan Lin,PhD Candidate, Penn State University, 301D Grubb, White Course Apartments, University Park PA 16802, United States of America, yusan@psu.edu
 
Abstract: When marketing clothing products, it is necessary for the sellers to be aware of the styles of their products, and the kind of consumers they are targeting. However, how does one make sure the style they define is correct? We leveraged the fashion-focused social network, lookbook.nu, and examined whether their definition of styles corresponds to the network structure.
  
Title: Entropy Maximization with Stochastic Dominance and Moment Constraints for Distribution Approximation
 Presenting Author: Alexander Mafusalov,PhD Student, University of Florida, 303 Weil Hall, Gainesville FL 32611-6595, United States of America, mafusalov@ufl.edu
 
Abstract: Entropy maximization with linear constraints (second order stochastic dominance constraint, first and second moment constraints) is proposed for sample distribution approximation problem. Solution is a piece-wise Gaussian function. The second moment convergence implies solution convergence to sample distribution. Cross-validation with likelihood maximization is used to adjust second moment proximity.
  
Title: Issues in Resiliency for the Australian Food Supply Chain
 Presenting Author: Leorey Marquez,Research Scientist, CSIRO, Gate 5, Normanby Road, Clayton VI 3168, Australia, leorey.marquez@csiro.au
 Co-Author: Simon Dunstall,CSIRO Digital Productivity and Services, Gate 5, Normanby Road, Clayton, VIctoria 3168, Australia,
 Rodolfo Garcia-Flores,CSIRO Digital Productivity and Services, Gate 5, Normanby Road, Clayton, Victoria, Australia, Rodolfo.Garcia-Flores@csiro.au
 
Abstract: Roughly one-third of food produced for human consumption is lost or wasted globally. At the same time, food production is under threat from climate change, competing land uses, erosion and clean water shortages. This poster showcases recent work aimed at understanding key elements of resilience in the Australian food supply chain. These studies investigate points of vulnerability, the types of threats that can occur in the event of a severe emergency and the strategies needed to address them.
  
Title: Optimal Combination of Multiple Diagnostic Tests with Application to Prostate Cancer
 Presenting Author: Selin Merdan,Department of Industrial and Operations Engineering, University of Michigan, 1640 McIntyre Street, Ann Arbor MI 48109, United States of America, smerdan@umich.edu
 Co-Author: Christine Barnett,Ph.D. Candidate, Department of Industrial and Operations Engineering, University of Michigan, 1205 Beal Avenue, Ann Arbor MI 48109, United States of America, clbarnet@umich.edu
 Brian Denton,Associate Professor, Department of Industrial and Operations Engineering, University of Michigan, 1857 IOE Building, 1205 Beal Avenue, Ann Arbor MI 48109, United States of America, btdenton@umich.edu
 
Abstract: In the early detection and diagnosis of disease, multiple tests are used to discriminate between patients with and without the disease. In the context of cancer, there are several risk factors that predict the presence of the disease; however, the optimal assignment of diagnostic tests to patients based on these risk factors is not known. We present a new model to optimally classify patients for composite diagnostic testing such that false positive and false negative results are minimized.
  
Title: *****DELETE****Bayesian Analysis to Determine Phase Change Time in Stem Cells
 Presenting Author: Louis Luangkesorn,Research Assistant Professor of Industrial Engineering, University of Pittsburgh, 1048 Benedum Hall, 3700 O'Hara St., Pittsburgh PA 15261, United States of America, lol11@pitt.edu
 Co-Author: Ali Hjaar,Graduate Student, University of Pittsburgh, 1048 Benedum Hall, 3700 O'Hara St., Pittsburgh, United States of America, ahh12@pitt.edu
 
Abstract: Understanding the dynamics of stem cell differentiation can help in using stem cells in therapeutic and other medical applications. However, measuring the change in cell samples is difficult. This makes it difficult to parameterize mathematical models. Bayesian calibration methods are useful in cases where there are few samples and measurement error. We apply Bayesian methods and show how they lead to more useful estimates of parameters relating to the stem cell reproductive cycle.
  
Title: A Game-theoretic Procedure for Bridge Construction Cost Allocation
 Presenting Author: Saurav Kumar Dubey,PhD Student-Department of Industrial and Systems Engineering, University of Tennessee at Knoxville, 1615 Laurel Avenue, Knoxville TN 37916, United States of America, skumardu@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, Alberto Garcia-Diaz
 Dongju Lee,Assistant Professor, Kongju National University, Yesangun, Chungnam,, Gongju City, Korea, Republic of, djlee@kongju.ac.kr
 
Abstract: The proposed method integrates traffic capacity and load requirements to allocate bridge costs among vehicle classes, using two game-theoretic criteria known as Aumann-Shapley value and Shapley value, and an incremental allocation procedure.Players are defined as vehicle classes, axle load applications, or lanes.The gross-weight based incremental procedure determines marginal costs.
  
Title: Cost Estimation Method for R&D Research Fund of Government in Korea
 Presenting Author: Dong-Guen Kim,Associate Research Fellow, Korea Institute of S&T Evaluation and Planning (KISTEP), Dongwon Industry Bldg., 275 Yangjae-dong, Seoul, Korea, Republic of, dgkim@kistep.re.kr
 
Abstract: In Korea, the preliminary feasibility study(PFS) is carried for the newly proposed large-scaled government programs. In case of a PFS on R&D programs, the estimation of project cost is needed. In this study, the method of estimation on R&D project cost are researched. Using the historical data about simliar R&D project, the distributions of R&D project costs are investigated and the methodology for estimation on parameters of project cost is developed.
  
Title: ***LATE CANCELLATION*Multiple Criteria Simulation Optimization: Further Refinements
 Presenting Author: Esmeralda Niño,Graduate Student, University of Puerto Rico at Mayagüez, PO Box 9000, Mayagüez 00680, Puerto Rico, esmeralda.nino@upr.edu
 Co-Author: Mauricio Cabrera-Ríos,Associate Profesor, University of Puerto Rico at Mayagüez, PO Box 9000, Mayagüez 00680, Puerto Rico, mauricio.cabrera1@upr.edu
 Bryan Rosas,Undergraduate Student, University of Puerto Rico at Mayagüez, PO Box 9000, Mayagüez 00680, Puerto Rico, bryan.rosas@upr.edu
 
Abstract: In particular, this work improves upon the use of Data Envelopment Analysis to determine the efficient frontier, as well as, the use of a single-pass algorithm previously proposed by our research group. The results show a rapid convergence to a more precise characterization of the Pareto-efficient solutions. The revised algorithm is illustrated by a series of cases in manufacturing systems simulation.
  
Title: Iterated Local Search for Flexible Job Shop Scheduling Problems with Resource Constraints
 Presenting Author: Dimitris Paraskevopoulos,Assistant Professor, University of Bath, Claverton Down, Bath BA2 7AY, United Kingdom, dp465@bath.ac.uk
 Co-Author: Panagiotis Repoussis,Assistant Professor, Stevens Institute of Technology, Castle Point on Hudson, Babbio Center, Hoboken NJ 07030, United States of America, prepouss@stevens.edu
 Christos Tarantilis,Professor, Athens University of Economic and Business, 76, Patission Street, Athens GR10434, Greece, tarantil@aueb.gr
 
Abstract: This work presents an Iterated Local Search (ILS) algorithm for flexible Job shop scheduling problems with deadlines, sequence dependent setup times, machine availabilities and most importantly resource constraints. The proposed ILS introduces new compound moves and consorts with an adaptive perturbation mechanism. Experiments on randomly generated problem instances are reported.
  
Title: Consumer Loan Acquisition Decisions in the Context of Economic Uncertainty
 Presenting Author: Kanshukan Rajaratnam,University of Cape Town, 4.70 Leslie Social Science Building, Rondebosch 7700, South Africa, kanshukan@gmail.com
 Co-Author: Peter Beling,University of Virginia, Richmond VA, United States of America, beling@virginia.edu
 George Overstreet,University of Virginia, Richmond VA, United States of America, gao5h@virginia.edu
 
Abstract: We incorporate forecasts of future economic conditions into acquisition decisions for scored consumer loan portfolios. The portfolio manager must choose both a cutoff score and its associated level of capitalization prior to account performance. In this research, we consider the scoring and regulatory capital decision under multiple economic scenarios. We construct the set of efficient operating points in the market-share and profit space.
  
Title: How to Complete Subsequent Deals? Breadth and Depth of M&A Success Experience in Semiconductor Industry
 Presenting Author: Jieun Hwang,Seoul National University, LG #59-110, Daehak-dong, Gwanak-gu, Seou, Seoul, Korea, Republic of, jieun_sara@hotmail.com
 Co-Author: Taewoo Roh,Seoul National University, LG #59-110, Daehak-dong, Gwanak-gu, Seou, Seoul, Korea, Republic of, troh0099@gmail.com
 
Abstract: Previous studies on M&A have neglected the importance of deal completion. Based on organizational learning theory, we find that firms can learn to complete the deal from prior success acquisition experience. We examine that intra-industry acquisition experience increases the deal completion and the deal speed in semiconductor industry. Moreover, inter-industry acquisition experience moderates the relationship.
  
Title: The KANBAN Gamification in a Strategic Operation Management Simulation
 Presenting Author: Felipe Reis Graeml,Centro Universitário da FEI, Departamento de Engenharia de Produção, Brazil, fgraeml@fei.edu.br
 Co-Author: Mauro Sampaio,FEI University, Campus of São Bernardo, São Bernardo do Campo 09850-901, Brazil, msampaio@fei.edu.br
 
Abstract: This article presents the results of a simulation performed with students, using gamification to teach KANBAN in an Operations Management context. The article defends and justifies the use of "gamification" as an alternative to support theoretical classes, diminishing the effect of learning inhibits, increasing the retention of knowledge for longer period, and stimulating skills development on students.
  
Title: A Fuzzy Linguistic Based Decision Support System for Evaluating Remanufacturability of Products
 Presenting Author: Thomas Omwando,University of Wisconsin Milwaukee, 3200 N Cramer Street, EMS 503, Milwaukee WI 53211, United States of America, tomwando@uwm.edu
 Co-Author: Wilkistar Otieno,University of Wisconsin - Milwaukee, 3200 N Cramer Street, Milwaukee WI 53211, United States of America, otieno@uwm.edu
 Anthony Ross,University of Wisconsin - Milwaukee, 3202 N. Maryland Ave., Milwaukee WI 53211, United States of America, antross@uwm.edu
 
Abstract: Remanufacturing as an end of life disposal option faces challenges due to uncertainties associated with product attributes. This work presents a decision support system based on a 2-tuple fuzzy linguistic computing approach to integrate qualitative and quantitative product attributes in determining the remanufacturability of a product. The model is applied to assess the suitability of remanufacturing two products manufactured by a global industry based in the mid-west region of the USA
  
Title: Extending the Complexity of Covering-routing Problem Considering Maximum Returns to Critical Areas
 Presenting Author: Maria José Pinto Lamosa,Dra., IEAv/CTA, Trevo Cel Av. José A. A. do Amarante, 1, São José dos Campos, Brazil, maju@ieav.cta.br
 Co-Author: Mônica Maria De Marchi,IEAv/CTA, Trevo Cel Av. José A. A. do Amarante, 1, São José dos Campos, Brazil, monica@ieav.cta.br
 
Abstract: The problem consists on determining routes with minimum costs and maximum returns to critical areas. We had solved it using a multi-objective model, but the simplifications considered in that model became difficult to apply it in real scenarios. A new model is proposed including features and limitations to the problem, as the associated time and the entity autonomy/capacity. The problem has been applied in scenarios where monitoring is required like disaster management and airspace surveillance.
  
Title: Predictive Dialing in the Cloud
 Presenting Author: Douglas Samuelson,InfoLogix, Inc., 8711 Chippendale Court, Annandale VA 22003, United States of America, infologix1@aol.com
 
Abstract: We extend earlier methods to perform predictive dialing in a Cloud-based virtual call center, with much more flexibility of operational behaviors and consequently a more complex control problem. Big Data and Big Computing methods yield high utilization with acceptably low numbers of abandoned calls.
  
Title: Destructive Leadership and its Organizational Impact: A Critical Discourse Perspective
 Presenting Author: Masato Suzuki,Tokiwa University, 1-430-1,Miwa, Mito-shi, Japan, msuzuki0107@gmail.com
 
Abstract: The purpose of this study is to investigate leaders’ abuse to subordinates and its organizational impact from critical discourse perspectives. While a lot of studies have examined destructive leadership, little is known about how organizational abuse unfolds in organization. Combining dairy analysis and follow up interviews, this study shows that the impact of leaders’ abuse to subordinates is not confined to a worker abused, but to behaviors which not abused employees do in organization.
  
Title: Deducing Patient Placement Decisions in Hospitals; An Integer Programmin Approach
 Presenting Author: Nooshin Valibeig,Northeastern University, 360 Huntington ave, Boston MA 02115, United States of America, n.valibeig@neu.edu
 Co-Author: Jacqueline Griffin,Northeastern University, 360 Huntington ave, Boston MA 02115, United States of America, ja.griffin@neu.edu
 
Abstract: Hospitals operations are captured in several independent information systems, resulting in lost information about underlying decision processes. We use integer programming to integrate a flow and a census data set to extract important underlying characteristics of the system. Additionally, we analyze the accuracy and robustness of the model using simulated data.
  
Title: Method of Characteristic Functions for Networks with Fixed Node Degrees
 Presenting Author: Vladimir Tsurkov,Head of Department, Computing Centre of Russian Academy of Sciences, Vavilov Str., 40, Moscow 119333, Russia, tsur@ccas.ru
 
Abstract: Classes of networks with fixed node degrees and weights of arcs and loops not exceeding a given parameter are studied. Characteristic functions are found that depend on vector components and a parameter; the non-negativeness of this parameter is the network existence criterion. The sums of arc weights on each subset after decomposition and the sum of arc weights incident upon the nodes of subsets are treated as variables. Formulas for the upper and lower bounds for these variables are obtained.
  
Title: Scheduling Urgent and Normal Jobs in a Two-machine Flowshop
 Presenting Author: Sang-Oh Shim,Hanbat National University, Dept of Business Administration, Hanbat, Deokmyung-Dong Yuseong-Gu, Daejeon Ko 305-719, Korea, Republic of, mizar0110@gmail.com
 
Abstract: In this research,a problem of scheduling urgent and normal jobs in a two-machine flowshop is addressed to minimize total tardiness and the maximum completion time for urgent jobs and normal normal jobs, respectively. Several heuristics to obtain an feasible solution in a reasonable time are developed. To evaluate the performance of the proposed algorithms, computational experiments are done on randomly generated instances.
  
Title: ***LATE CANCELLATION**Using Mixed-effect Models to Monitor Product Quality in Interchangeable Manufacturing processes
 Presenting Author: Abbase Saghaei,Science and Research Branch Islamic Azad University, Hessarak, Tehran 1477893855, Iran, a.saghaei@srbiau.ac.ir
 Co-Author: Mehrdad Nikoo,Science and Research Branch Islamic Azad University, Hessarak,Tehran,I.R.Iran,1477893855, Tehran, Iran, m.nikoo@srbiau.ac.ir
 zahra pishravian,Using Mixed-effect models to monitor product quality in interchangeable manufacturing processes, Science and Research Branch Islamic Azad University, Hesarak,Tehran,I.R.Iran,1477893855, No 149,East403,Phase4Mehrshahr,Alborz, Tehran, Iran, z.pishravian@srbiau.ac.ir
 
Abstract: Interchangeable Manufacturing Processes create different distributions of data, which usually the traditional methods cannot model them. This paper presents a new method for phase II monitoring geometric profiles of gears with different distributions of data. At first, a functional data clustering method is used to cluster the profiles. Then, a mixed-effect model is proposed to consider both within and between clusters variations. The proposed method has shown good performance in such processes.
  
Title: ***LATE CANCELLATION 11-2***Stochastically Constrained Simulation Optimization on Integer-ordered Spaces
 Presenting Author: Kalyani Nagaraj,Virginia Tech, 250 Durham Hall, Blacksburg VA, United States of America, kalyanin@vt.edu
 
Abstract: We present a provably efficient algorithm for optimizing a system whose objective function and the functions forming the set of constraints are observable only via a stochastic simulation parameterized by a finite number of integer-ordered variables. Additionally, we present heuristics for automatically tuning the algorithm parameters that demonstrated good finite-time performance.
  
Title: Robust Dynamic Pricing for Oligopolistic Service Providers with Fixed Inventories
 Presenting Author: Yiou Wang,Penn State University, 244 Leonhard Building, University Park PA 16801, United States of America, yiw5120@psu.edu
 Co-Author: Terry Friesz,Penn State University, 305 Leonhard Building, University Park PA 16801, United States of America, tlf13@psu.edu
 Ke Han,Imperial College, 605 Skempton Building, London, United Kingdom, k.han@imperial.ac.uk
 Tao Yao,Penn State University, 349 Leonhard Building, University Park PA 16801, United States of America, tyy1@engr.psu.edu
 
Abstract: The problem of robust dynamic pricing of an abstract commodity with fixed inventories specified at initial time is formulated as a continuous time generalized dynamic Nash game and developed into a robust continuous time quasi-variational inequality. We then show the equivalent variational inequality and give effective algorithms based on this. Numerical examples consist of the comparison between robust and stochastic formulations and quantification of efficiency of such supply chain.
  
Title: Price Discount and Inventory Planning with Binding Reservation
 Presenting Author: Jianghua Wu,Associate Professor, Renmin University of China, School of Business, 59 Zhonguancun Street, Beijing, China, jwu@ruc.edu.cn
 
Abstract: In this paper, we consider the strategy of a firm to use price discounts to implement binding reservation. The firm offers a price discount to customers in exchange for the option to fulfill their orders at the end of the selling season if there is inventory available. The firm can use the advance order information to update demand information. We derive the optimal discount and inventory decision, and then evaluate the impact of various parameters on the performance.
  
Title: Portfolio Optimization for Options: An Approximate Dynamic Programming Approach
 Presenting Author: Yaxiong Zeng,Northwestern University, 2145 Sheridan Road, IEMS, Evanston IL 60208, United States of America, yaxiongzeng2015@u.northwestern.edu
 Co-Author: Diego Klabjan,Professor, Northwestern University, 2145 Sheridan Road, IEMS, Evanston IL 60208, United States of America, d-klabjan@northwestern.edu
 
Abstract: In portfolio optimization, option has played a relatively small role with few papers discussing its potential impact. In our paper, we design a novel ADP algorithm for European option portfolio and an ADP-embedded non-standard progressive hedging algorithm for American option portfolio. We are the first to add American options into portfolios and explicitly take optimal exercise time into account. By simulation, we compare our algorithms against existing ones and conclude ours perform better.
  
Title: ***LATE CANCELLATION 10-22***The Impact of Information Sharing and IT on Customer Service Performance
 Presenting Author: Wenjie Zhang,Xi'an Jiaotong University, No.28, Xianning West Road, Xi'an 710049, China, wenjie363@qq.com
 Co-Author: Gang Li,Xi'an Jiaotong University, No.28, Xianning West Road, Xi'an, China, glee@mail.xjtu.edu.cn
 
Abstract: Information sharing and IT constitute an important base of competitive advantage for organizations, as they enable the level of customer service. This study proposes a model to analyze the effects of Information sharing and IT on delivery service and after sale support service,and considers the Interaction effects of Information sharing and IT. A large-scale survey was used to tests these relationships and findings provide several theoretical and practical implications for future research.
  
Title: Adaptive Decision Making of Breast Cancer Mammography Screening: A Heuristic Regression-Based Model
 Presenting Author: Fan Wang,University of Arkansas, 4207 Bell Engineering Center, Fayetteville AR 72701, United States of America, fxw005@uark.edu
 Co-Author: Shengfan Zhang,University of Arkansas, Dept of Industrial Engineering, Fayetteville AR 72701, United States of America, shengfan@uark.edu
 
Abstract: Mammography screening, although effective in reducing breast cancer morality, has high false-positive rates. We develop a regression-based decision model to determine if a mammogram is necessary for various women. The explanatory variables include several risk factors. The optimal decisions are expected to result in the least loss of life expectancy.
  
Title: From Theory to Practice: Implementation of a Resource Allocation Model in Health Departments
 Presenting Author: Emine Yaylali,Senior Service Fellow, Centers for Disease Control and Prevention, 1600 Clifton Road, MS E36, Atlanta FM 30329, United States of America, wqq3@cdc.gov
 Co-Author: Arielle Lasry,Centers for Disease Control and Prevention, 1600 Clifton Road, Atlanta GA 30329, United States of America, ftn9@cdc.gov
 Stephanie Sansom,Team Lead, Centers for Disease Control and Prevention, 1600 Clifton Road, Atlanta 30329, United States of America, sos9@cdc.gov
 
Abstract: HIV resource allocation models can synthesize surveillance, programmatic and research data to guide the distribution of HIV prevention dollars among people and programs. Many theoretical models for HIV resource allocation have been developed, although few have been used and evaluated across multiple sites. We developed an HIV resource allocation model that was piloted and evaluated in four health departments. We present health departments’ evaluations of their use of the model and its results.