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Cluster :  Interactive Session

Session Information  : Monday Nov 10, 12:00 - 14:30

Title:  Monday Poster Session
Chair: Ana Muriel,University of Massachusetts, Amherst MA, United States of America, muriel@ecs.umass.edu

Abstract Details

Title: Operating Room Allocation for Overtime Control with Chance Constraints
 Presenting Author: Zheng Zhang,University of Michigan, 1205 Beal Ave, Ann Arbor MI, United States of America, zhazheng@umich.edu
 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
 Xiaolan Xie,Shanghai Jiao Tong University, China, xie@sjtu.edu.cn
 
Abstract: This study considers operating room (OR) allocation problems with multiple ORs and random service time. We present a new stochastic programming formulation for surgery planning that guarantees a given proportion of ORs close punctually. We show this can reduce cost and achieve a more equitable balance of overtime for nursing staff. Decisions include a combination of surgery allocation decisions prior to the start of the day and dynamic reallocation decisions throughout the day.
  
Title: Online Robotic Parameter Optimization for High Precision Manufacturing via Analytic Hierarchy Process
 Presenting Author: Binbin Li,Texas State University, 1014 Sagewood Trail, an Marcos TX 78666, United States of America, b_l77@txstate.edu
 Co-Author: Heping Chen,Texas State University, 601 university drive, san marcos TX 78666, United States of America, heping.chen@txstate.edu
 Tongdan Jin,Associate Professor, Texas State University, 601 University Drive, San Marcos TX 78666, United States of America, tj17@txstate.edu
 
Abstract: High precision robots are widely used in automobile assembly, remote surgery, and aerospace industry. We propose a Gaussian Process Regression (GPR) model to establish the relation between process parameters and robotic performance including First Time Through and cycle time. Analytic hierarchy process is employed to search for the best covariance function. Experimental data show that GPR outperforms design-of-experiment and meta-heuristics in terms of global optimality and computational time.
  
Title: Risk Assessment and Mitigation for Food Supply Chains
 Presenting Author: Yanling Chang,Georgia Institute of Technology, 755 Ferst Drive, NW, Atlanta GA 30332, United States of America, changyanling@gmail.com
 Co-Author: Alan Erera,Georgia Institute of Technology, 755 Ferst Drive, NW, Atlanta GA 30332, United States of America, alerera@isye.gatech.edu
 Brian Kues,Georgia Institute of Technology, 755 Ferst Drive, NW, Atlanta GA 30332, United States of America, briankues@gmail.com
 Chelsea White,Georgia Institute of Technology, 755 Ferst Drive, NW, Atlanta GA 30332, United States of America, chip.white@isye.gatech.edu
 
Abstract: We propose a dynamic risk analysis method to evaluate and mitigate the risks to food supply chains posed by intelligent and adaptive adversaries. We justify the value of our model by comparison to the traditional risk analysis approach. Finally, we determine the value of the defender's information about the attacker.
  
Title: Optimization, Discrete-event Simulation and Game Theory to Redesign Hazardous Materials’ Logistics
 Presenting Author: Diana Ramirez,CSO, FCIMEC, Carrera 53 No.74-86 Of. 402, Barranquilla, Colombia, dramirez@fcimec.org
 Co-Author: Linda Bendavid,FCIMEC, Carrera 53 No.74-86 Of. 402, Barranquilla, Colombia, linda.castro@me.com
 Lauren Castro,FCIMEC, Carrera 53 No.74-86 Of. 402, Barranquilla, Colombia, ljcastro@fcimec.org
 Nilson Herazo,FCIMEC, Carrera 53 No.74-86 Of. 402, Barranquilla, Colombia, nherazo@fcimec.org
 Miguel Jimenez,FCIMEC, Carrera 53 No.74-86 Of. 402, Barranquilla, Colombia, mjimenez@fcimec.org
 Jairo Montoya,FCIMEC, Carrera 53 No.74-86 Of. 402, Barranquilla, Colombia, jrmontoy@yahoo.com
 Santiago Nieto,FCIMEC, Carrera 53 No.74-86 Of. 402, Barranquilla, Colombia, snieto@fcimec.org
 Luis Ramirez,FCIMEC, Carrera 53 No.74-86 Of. 402, Barranquilla, Colombia, lramirez@fcimec.org
 
Abstract: This work integrates Game Theory, Meta-heuristic Optimization and Computer Simulation to solve a real-life location-routing problem found in bulk liquids and hazardous materials' transport. The models search for optimal transport network configuration in order to minimize environmental impacts while improving economic performance. A DSS is developed in which stochastic travel times are considered for daily truck operation.
  
Title: Equilibrium and Optimal Location of Retail Stores Competing with Mail Order Business
 Presenting Author: Masaaki Ozawa,Student, Keio university, 5-29-4 Hiyoshi, Kohoku-ku, Yokohama, Japan, ozawa0130@gmail.com
 
Abstract: We present a competitive location model in a one-dimensional city model with two competing retail stores and one mail order business. Consumers’ choice of store is modeled by the production constraint spatial interaction models. We investigate the characteristics of the equilibrium and optimal location for two stores using different parameter settings: attraction and decay parameter. As the attraction of the mail order business increases, the two retail stores move to two separate locations.
  
Title: Optimal Inventory Mirroring via Linear Integer Programming
 Presenting Author: Zhiwei (Tony) Qin,Data Scientist, Walmart Labs, 850 Cherry Ave, San Bruno CA 94066, United States of America, tqin@walmartlabs.com
 Co-Author: Mohan Akella,Walmart.com, 850 Cherry Ave, San Bruno CA 94066, United States of America, makella@walmart.com
 Jagtej Bewli,Walmart Labs, 850 Cherry Ave, San Bruno CA 94066, United States of America, jbewli@walmartlabs.com
 
Abstract: Inventory mirroring concerns with problem of deciding how many warehouses in the fulfillment network an SKU should be stocked. In the context of online retailing, strategic inventory mirroring allows the retailer to reduce overall delivery and fulfillment costs. In this poster, we propose a practical methodology to approximately solve the optimal inventory mirroring problem, by formulating the problem as a binary integer programming problem.
  
Title: Operations Research to Reduce The Cost of Electricity
 Presenting Author: Masood Jabarnejad,Instructor and PhD Student, Auburn University, 333 East Magnolia Ave. APT 44, Auburn AL 36830, United States of America, masood@auburn.edu
 Co-Author: Jorge Valenzuela,Professor and Chair, Auburn University, Industrial & Systems Eng Department, Auburn AL 36849, United States of America, valenjo@auburn.edu
 
Abstract: Electricity generation infrastructure has a critical role in any country’s economy and national security. The more efficient these infrastructures are, the cheaper service and better reliability they can offer to the society. We propose to use and integrate seasonal transmission switching with dynamic thermal rating system to reduce the electric generation costs, save money for the companies and offer cheaper service to the customers.
  
Title: Value-chain Optimization for Complex Chemical Production Processes
 Presenting Author: Patrick Briest,McKinsey & Co., Kennedydamm 24, Düsseldorf 40476, Germany, patrick_briest@mckinsey.com
 Co-Author: Valerio Dilda,McKinsey & Co., 79 Ave des Champs-Elysees, Paris 75008, France, valerio_dilda@mckinsey.com
 Isabelle Patouillaud,McKinsey & Co., 79 Ave des Champs-Elysees, Paris 75008, France, isabelle_patouillaud@mckinsey.com
 
Abstract: We propose a novel production planning approach for the chemicals industry centered around an end-to-end optimization model covering the full length of the value chain, from procurement over production to sales. Our model incorporates cost/price curves for raw materials and finished goods and a MIP production model detailed enough to mimic physical plant behavior across all possible production scenarios. We present results based on a first real-life application with a global chemicals company.
  
Title: Integrating Uncertain Data in Disaster Relief Facility Location
 Presenting Author: Bin Li,University of Arkansas, Bell Engineering Building 4110, Fayetteville AR 72703, United States of America, binli@email.uark.edu
 Co-Author: Ashlea Milburn,PhD, University of Arkansas, 4207 Bell Engineering Center, Fayetteville AR 72701, United States of America, ashlea@uark.edu
 
Abstract: A multi-objective formulation of the minimax regret for the facility location problem that allows decision makers to open an efficient number of facilities when there is demand uncertainty. The problem is motivated by the recent need of integrating social data from multiple sources in order to make optimal decisions. CPLEX is used for solving three different optimization problems based on three different facility location strategies.
  
Title: Social Media Usage in Static Disaster Relief Routing Plans
 Presenting Author: Emre Kirac,PhD Candidate, University of Arkansas, 4207 Bell Engineering Center, Fayetteville AR 72701, United States of America, ekirac@uark.edu
 Co-Author: Ashlea Milburn,PhD, University of Arkansas, 4207 Bell Engineering Center, Fayetteville AR 72701, United States of America, ashlea@uark.edu
 Clarence Wardell III,Ph.D., CNA, 3003 Washington Boulevard, Arlington VA 22201, United States of America, wardellc@cna.org
 
Abstract: Precise information about the affected people is required so as to perform a quick response in disaster relief. Traditionally, on-the-ground assessment teams collect this information, but it takes some time. Social media can provide additional information about needs in less time, but such needs are not verified. This research evaluates the tradeoff associated with considering unverified information in disaster relief planning. These approaches are compared across a variety of demand scenarios.
  
Title: Intellectual Map of Information Systems
 Presenting Author: Mohammadmahdi Moqri,University of Florida, Gainesville FL, United States of America, moqri.mo@gmail.com
 
Abstract: We improve and redefine the Invisible Networks of Knowledge models as a social network and use it to map the intellectual structure of the field of Management Information Systems. The results help us observe how the field has been evolving and identify the core and emerging areas of research. 
  
Title: The Art of Revenue Management: Optimizing by the LoS in Airport Carparks
 Presenting Author: Andreas Papayiannis,University of Manchester, School of Mathematics, Manchester, United Kingdom, Andreas.Papayiannis@manchester.ac.uk
 Co-Author: Paul Johnson,University of Manchester, School of Mathematics, Manchester, United Kingdom, Paul.Johnson-2@manchester.ac.uk
 
Abstract: We investigate the revenue management (RM) problem encountered in airport carparks, where spaces are sold in advance online. Currently, most RM practices in this sector are simple adjustments of those developed for hotels, exploiting the strong similarities of the two industries. However, unlike in hotels where the day of the week strongly affects the price of a room, a distinct setting appears where the daily price of a parking space depends heavily on the length-of-stay (LoS) of the booking. A continuous-time formulation leads to a HJB-type PDE model; by optimizing over the LoS, the PDE is solved to generate the dynamic table of expected marginal values required for bid-price control.
  
Title: Exploring Scheduling Changes in Clinic Rotations of a Medical Residency Program
 Presenting Author: Akshit Agarwal,Rochester Institute of Technology, Rochester NY 14623, United States of America, aa9425@rit.edu
 Co-Author: Ruben Proano,Doctor, Rochester Institute of Technology, 1 Lomb Memorial Dr, Rochester, United States of America, rpmeie@rit.edu
 
Abstract: Resident rotational programs require residents to have a one week outpatient clinic assignment every month. We explore the implications of having two consecutive weeks of clinic rotation every two months. We use discrete optimization to generate rotational schedules, and we explore combined metrics to assess the quality of this policy change.
  
Title: Freeway Reliability Scenario Generation: A Hybrid Approach
 Presenting Author: SeyedBehzad Aghdashi,North Carolina State University, 803 Essex Forest Dr, Cary NC 27518, United States of America, behzad_aghdashi@ncsu.edu
 
Abstract: The main objective of the proposed Scenario Generation approach is to increase the quality of each scenario, making it more representative of the expected congestion patterns on the freeway. The proposed approach uses three core mathematical schemes: a) a deterministic mathematical model b) a Monte Carlo simulation, and c) an optimization.
  
Title: Assessment of Capacity and Stability in National Sustainable Transportation
 Presenting Author: Hamed Ahangari,PhD Candidate, University of Connecticut, 1 Northwood Rd, Apt 108, Storrs CT 06268, United States of America, hamed.ahangari@uconn.edu
 Co-Author: Carol Atkinson-Palombo,Associate Professor, University of Connecticut, 215 Glenbrook Road, U-4148, Storrs CT 06269, United States of America, carol.atkinson-palombo@uconn.edu
 Norman Garrick,Associate Professor, University of Connecticut, 261 Glenbrook Rd., Unit 3037, Storrs, United States of America, garrick@engr.uconn.edu
 
Abstract: In last three decades, transportation system was faced with sustainability concerns but few efforts have been made to develop national sustainable transportation index-NTSI. This research use a nested approach to estimate NTSI by 19 environmental, social, and economic indicators in 30 developed countries. We also suggest and measure two new dimensions to assess sustainable systems: capacity and stability. Results offer a three dimensions clustering model to classify different countries.
  
Title: A Multi-criteria Approach to Maritime Search and Rescue Location Analysis
 Presenting Author: Amin Akbari,PhD Student, Dalhousie University/ Industrial Engineering Department, 5269 Morris Street/ PO Box 15000, Room R1-203, Halifax NS B3H 4R2, Canada, amin.akbari@dal.ca
 Co-Author: H.A Eiselt,Professor, University of New Brunswick/ Faculty of Business Administration, Singer Hall, room 255, 7 MacAuley Lane, Fredericton NB E3B 5A3, Canada, haeiselt@unb.ca
 Ronald Pelot,Professor, Dalhousie University/ Industrial Engineering Department, 5269 Morris St., PO BOX 15000, Halifax NS B3H 4R2, Canada, Ronald.Pelot@Dal.Ca
 
Abstract: This study’s aim is to analyze the optimal location-allocation of maritime search & rescue resources by applying customized versions of the maximal covering and p-median problems. The optimal solutions of these two models are compared in terms of three decision criteria: (1) coverage; (2) mean access time; and (3) service equity. The results show a significant increase in resource utilization based on coverage and response time criteria for the model solutions compared to the current situation.
  
Title: Tournament Scheduling for Recreational Leagues
 Presenting Author: Athena Alimirzaei,Clinical Assistant Professor, University of Texas at Dallas, 800 W Campbell Rd, Richardson TX 75080, United States of America, athena.alimirzaei@utdallas.edu
 
Abstract: There are many thousands of recreational sports leagues worldwide for both youth and adults of all ages. The recreational league scheduling problem is to assign matches in a given league to the resources allocated to that league. This work is motivated by the scheduling problem faced by the local company AllPlayers.com. A goal programming model has been developed to generate sports schedules on-line with various goals and restrictions.
  
Title: A Novel, Simple Interpretation of Nesterov’s Method as a Combination of Gradient and Mirror Descent
 Presenting Author: Zeyuan Allen-Zhu,MIT, 32 Vassar St, Rm 32-G636, Cambridge MA 02139, United States of America, zeyuan@csail.mit.edu
 Co-Author: Lorenzo Orecchia,Professor, MIT Math / BU, 77 Mass Ave., Cambridge MA 02139, United States of America, orecchia@mit.edu
 
Abstract: Almost all first-order methods rely on two types of algorithmic steps: gradient-descent and mirror-descent steps. We obtain a simple interpretation of Nesterov’s accelerated gradient method by expressing it as a natural coupling of the two types of steps. This interpretation has facilitated some recent breakthroughs (of the same authors) in approximately solving packing and covering LPs in nearly-linear time.
  
Title: Admission Batches to Minimize Internal Shuffles in a Centralized or Decentralized Hospital
 Presenting Author: Bruno Alves Maciel,Rochester Institute of Technology, 979 Nathaniel Rochester Hall, Rochester NY, United States of America, ba8641@rit.edu
 Co-Author: Richard Latham,RITRochester Institute of Technology, 6000 Reynolds Dr., Box 509, Rochester NY 14623, United States of America, rel5224@rit.edu
 Ruben Proano,Doctor, Rochester Institute of Technology, 1 Lomb Memorial Dr, Rochester, United States of America, rpmeie@rit.edu
 
Abstract: We analyze the impact of a batched bed assignment process on the number of internal movements in several hospital units. The process can be applied under a centralized or decentralized admission policy, varying the amount of time between batch admissions while trying to minimize the number of internal movements. Our preliminary results show that under a centralized policy the need for internal movements can be completely eliminated.
  
Title: Evaluating and Testing Contemporary Snow Removal Routing Models under Ongoing Weather Conditions
 Presenting Author: Nathan Arrowsmith,RIT, 298 Pennels Dr, Greece NY 14626, United States of America, nea4305@rit,edu
 
Abstract: Snow removal route scheduling is a major component of winter weather planning. Recent approaches have focused on plowing all streets as quickly as possible and have demonstrated notable reductions in deadheading. These approaches however have largely ignored the impact of ongoing snow accumulation in the decision making process. By considering weather and traffic behavior, these methods can be evaluated for their efficacy during snow events. An accumulation-aware model is also under evaluation.
  
Title: ***LATE CANCELLATION***The Effect of Urban Form and Location in Consumer Satisfaction
 Presenting Author: Homa Atef Yekta,Sharif University of Technology, Azadi St., Tehran, Iran, homa.atefyekta@gmail.com
 Co-Author: Hamed Ahangari,PhD Candidate, University of Connecticut, 1 Northwood Rd, Apt 108, Storrs CT 06268, United States of America, hamed.ahangari@uconn.edu
 
Abstract: Determinant of consumer satisfaction includes series of endogenous and exogenous factors. This research hypothesizes that urban form and business location are exogenously contributing in consumer satisfaction. We use online rating as the proxy of satisfactions. For location and urban variables we consider parking number, walkability score, network scale, and network density. The findings show that there is a strong statistical relation between urban form and consumer satisfaction.
  
Title: Efficiency Initiatives in Catalyst Production Lines the Use of Simulation as a Tool to Support Energy
 Presenting Author: Alexandre Augusto Massote,Professor, FEI University, Campus of São Bernardo, São Bernardo do Campo, Brazil, massote@fei.edu.br
 
Abstract: This work includes the energy efficiency variables within the context of manufacturing systems and the aims are: to emphasize the importance of planning the production including variables related to energy; to use the simulation for improving the efficiency of the energy into industries; to investigate the opportunities of saving energy.
  
Title: ***LATE CANCELLATION***Analyzing Tweets to Inform a Model of Patient Choice, Arrival Rates and Wait in Emergency Rooms
 Presenting Author: Barry Barrios,Virginia Tech, 250 Durham Hall, Blacksburg VA 24061, United States of America, barriosb@vt.edu
 Co-Author: Ekkehart Beck,Northwestern University, 2145 Sheridan Road, Evanston 60208, United States of America, EkkehardBeck2015@u.northwestern.edu
 
Abstract: Patients tweet about their experience in emergency departments (EDs). We show how these relate to observed arrival and waiting time patterns seen in US EDs. Using these data we develop a model to study the effect of patient tweets on patient choice of ED, arrival rates and waiting times.
  
Title: The Care Life Cycle: Linking Health and Social Care for an Ageing Population
 Presenting Author: Sally Brailsford,Professor of Management Science, University of Southampton, School of Management, Southampton, United Kingdom, s.c.brailsford@soton.ac.uk
 
Abstract: The Care Life Cycle is a five-year multidisciplinary research program funded by the UK EPSRC. Its aim is to apply “complexity science” methods to study the links between supply and demand for health and social care in an ageing population. We have developed a suite of linked simulation models, including an agent-based model of family formation, a system dynamics model of social care provision, and a hybrid DES-SD-ABS model for the eye condition age-related macular degeneration.
  
Title: Managing Stakeholder Voices for the Development of a Novel Rehabilitation Device for Upper Limbs Rehabilitation
 Presenting Author: Aline Marian Callegaro,Universidade Federal do Rio Grande, Porto Alegre 90035190, Brazil, nimacall@gmail.com
 Co-Author: Márcia Elisa Soares Echeveste,Federal University of Rio Grande do Sul, Porto Alegre, Brazil,
 Amanda Sória Buss,Federal University of Rio Grande do Sul, Porto Alegre 90035190, Brazil,
 Carla Schwengbe ten Caten,Federal University of Rio Grande do Sul, Porto Alegre, Brazil, carlacaten@gmail.com
 Raffaela Leane Zenni Tanure,Federal University of Rio Grande do Sul, Porto Alegre 90035190, Brazil,
 
Abstract: The development of new technologies for the health area must take into consideration customer requirements from different stakeholders of the product value chain. This study aims in managing requirements from different stakeholders to develop a novel rehabilitation device for upper limbs rehabilitation. The Customer Value Chain Analysis (CVCA) tool was used to identify stakeholders and the Quality Function Deployment (QFD) tool to analyze and prioritize the requirements. Study results are described according the engineering requirement process: elicitation, analysis, and documentation. The results of this new approach of managing requirements report technology inputs for the development process of new medical devices.
  
Title: Modeling and Assessing Health Care Services Utilization in Hospital Readmission for Cancer Patients
 Presenting Author: Hanqing Cao,Senior Scientist, Philips Research North America, 345 Scarborough Rd, Briarcliff Manor NY 10510, United States of America, hanqing.cao@philips.com
 Co-Author: Yugang Jia,Philips Research North America, 345 Scarborough Rd, Briarcliff Manor NY 10510, United States of America, yugang.jia@philips.com
 Usha Raghavan,Philips Research North America, 345 Scarborough Rd, Briarcliff Manor NY 10510, United States of America, nandini.raghavan@philips.com
 
Abstract: Healthcare services utilization data have not been previously employed to assess the readmission risk for cancer patients, while both are at the high priority of US government aiming to cutting cost. We developed models to investigate the relationship between health care services utilizations with unplanned 30-day hospital readmission. A number of interesting insights were generated from healthcare services utilization and unplanned hospital readmissions for cancer patients.
  
Title: Literature Review of Mathematical and Simulation Models for School Closures in Pandemic Influenza
 Presenting Author: Yao-Hsuan Chen,CDC, 1600 Clifton Rd, Atlanta GA 30333, United States of America, xhj1@cdc.gov
 Co-Author: Hongjiang Gao,CDC, 1600 Clifton Rd, Atlanta, United States of America, uxi7@cdc.gov
 Amra Uzicanin,CDC, 1600 Clifton Rd, Atlanta, United States of America, aau5@cdc.gov
 Karen Wong,CDC, 1600 Clifton Rd, Atlanta, United States of America, vij4@cdc.gov
 
Abstract: We reviewed assumptions, structures, parameters, and results of published models that evaluated effects of school closures implemented to mitigate impact of an influenza pandemic. Out of 1587 papers identified in the initial search in PubMed, 39 met inclusion criteria for further review. Despite great variety in model specifications, published models found school closures to be effective in mitigating a pandemic influenza outbreak when implemented quickly and for sufficient duration.
  
Title: Eliciting and Combining Expert Opinion – An Overview and Comparison of Methods
 Presenting Author: Mutsa Chinyamakobvu,Masters Student, Rhodes University, P.O. Box 94, Grahamstown EC 6140, South Africa, m.chinyamakobvu@ru.ac.za
 Co-Author: Isabelle Garisch,Senior Lecturer, Rhodes University, P.O. Box 94, Grahamstown EC 6140, South Africa, i.garisch@ru.ac.za
 
Abstract: This paper is an overview and comparison of the elicitation and combination methods available for Expert Judgement Analysis. These include the traditional committee method, the Delphi method, the paired comparisons method, the negative exponential model, the classical model, the histogram technique, using the Dirichlet distribution and the employment of overfitting. The supra Bayes approach, and combining the opinions of experts given as confidence levels, are also considered.
  
Title: Design of Fuel Supply Chain for Power Plants: A Hybrid Stochastic and Robust Optimization Approach
 Presenting Author: Anna Danandeh,University of South Florida, 4202 E Fowler Ave, Tampa FL, United States of America, annadanandeh@mail.usf.edu
 Co-Author: Bo Zeng,University of South Florida, 4202 E Fowler Ave, Tampa FL, United States of America, bzeng@usf.edu
 
Abstract: 42 percent of the US electricity power is generated from burning coal, whose quality variations may cause violations of EPA regulations. In this project, we develop a stochastic-robust hybrid multi-stage and multi-generator optimization model in which the demand randomness is described by a set of scenarios and the concept of uncertainty set is adopted to bound quality variations.
  
Title: NP-Hardness Proof for the Maintenance Scheduling for Modular Systems problem
 Presenting Author: Tamar Cohen,Technion Israeli Institute of Technology, 11 Hagalil Street, Gival Ela, Israel, tamar.cg@gmail.com
 Co-Author: Liron Yedidsion,Technion Israeli institute of technology, Faculty of Industrial Engineering, Technion Israeli institute of technology, Haifa 32000, Israel, lirony@ie.technion.ac.il
 
Abstract: The Maintenance Scheduling for Modular Systems problem consists of a tree of components with respective cycle limits. The cycle limit for each component specifies the time interval in which it must be repaired. In order to reach a component in the tree its predecessor module must also be disassembled. The goal is to find a periodic replacement policy that minimizes the cost associated with component maintenance and module disassembly. In this paper we provide a proof that the problem is NP-hard.
  
Title: A Scenario-based Approach to Inventory Routing Problem
 Presenting Author: Vinayak Dinesh,RIT, 6000 Reynolds Drive, Rochester NY 14623, United States of America, vxd9920@rit.edu
 Co-Author: Scott Grasman,RIT, Rochester Institute of Technology, Rochester, United States of America, segeie@rit.edu
 
Abstract: Inventory routing problems (IRPs) that integrate inventory & routing problems can be considered a shift towards centralized thinking, influenced by practices like VMIs. This research tries to solve an IRP using a scenario based approach, considering uncertain demands. Furthermore the number of scenarios has been reduced by grouping retail centers showing similar demands with techniques like K-means clustering. As per our knowledge this is the first attempt at solving IRPs using this approach.
  
Title: ***LATE CANCELLATION***Optimal Sampling Times for a Partially-observable Growing Population
 Presenting Author: Ali Eshragh,Lecturer/Researcher in Statistics and Optimization, The University of Newcastle, School of Mathematical and Physical Sci., Callaghan 2308, Australia, Ali.Eshragh@newcastle.edu.au
 
Abstract: Our goal is to estimate the rate of growth of a population governed by a simple birth process. We may choose (n) time points at which to count the number of individuals present, but due to detection difficulties, we are able only to observe each individual with fixed probability (p). We discuss the optimal times at which to make our (n) observations in order to maximize the Fisher Information for the rate of growth and support our theoretical results by numerical experiments.
  
Title: ***LATE CANCELLATION***Model-based Simulation Systems for Adaptive Training in Time-critical Decision Making
 Presenting Author: Kushal Abhyankar,Wright State University, Dayton OH, United States of America, kushal.abhyankar@wright.edu
 Co-Author: Subhashini Ganapathy,Wright State University, 3640 Col. Glenn Hwy, Dayton OH 45435, United States of America, subhashini.ganapathy@wright.edu
 
Abstract: The main goal of education and training is to provide capabilities that can help humans improve performance and accelerate decision-making. Advances in mobile computing (e.g., sensor technology, context aware computing, and cloud computing) allow for the design of systems that goes beyond the traditional methods of simulation training to support adaptive learning. The focus of this paper will be to present a human performance model for disaster response through sensor-based information.
  
Title: Textbooks for Responsible Data Analysis in Excel
 Presenting Author: Nathan Garrett,Woodbury University, 7500 Glenoaks Blvd., Burbank CA 91510, United States of America, nathan.garrett@woodbury.edu
 
Abstract: With 27 million users, Excel is the most common data analysis software. However, audits show that almost all complex spreadsheets have errors. This project examines textbooks to understand why; are we teaching responsible data analysis? These textbooks are compared against spreadsheet development best practices. The results show a wide range of approaches, and that none of the ten books fully covers both the features and methodologies needed to create well-rounded Excel data analysts.
  
Title: Scheduling Multiple Parallel Machines with Capacity Constraints
 Presenting Author: Lai Wei,University of Michigan, Ross School of Business, Ann Arbor MA, United States of America, laiwi@umich.edu
 Co-Author: Dongdong Ge,Shanghai University of Finance and Economics, 100 Wudong Road, Shanghai, China, ge.dongdong@mail.shufe.edu.cn
 Simai He,Shanghai University of Finance and Economics, 100 Wudong Road, Shanghai, China, simaihe@mail.shufe.edu.cn
 
Abstract: This work studies the problem of scheduling n independent jobs on p identical machines, with a limit on the number of jobs (q) that can be assigned to each machine. The goal is to minimize the total weighted completion time of the jobs. We consider both its deterministic case and the 2-­stage stochastic optimization model and provide constant approximation algorithms for both problems.
  
Title: Total Value-of-ownership Model for Analyzing the Economics of a Fleet of Electric Vehicles
 Presenting Author: Thomas Goerzen,PhD Student, University of Paderborn, Warburger Straße 100, Paderborn, Germany, Thomas.Goerzen@wiwi.uni-paderborn.de
 
Abstract: We present a total value of ownership model to analyze the economics of a commercial fleet of electric vehicles. In comparison to existing models, we consider a significantly larger number of different cost and value parameters. Thereby we provide a better insight into the economic potential of electrified car fleets.
  
Title: ***Late Cancellation*Maximizing Sandfly Mortality for Controlling Kala-Azar Transmission in India
 Presenting Author: Kaushik Gorahava,Senior Quality Engineer, Verotech Solutions, LLC, 6189 NW 72nd Way, Parkland FL 33067, United States of America, kgorahava@gmail.com
 
Abstract: Leishmaniasis is a family of human infectious diseases spread by the bite of sandflies. The Indian state of Bihar has the highest Leishmaniasis mortality rate in the world. Currently in Bihar, DDT (for controlling Leishmaniasis) is distributed only according to human population size. Is this process of insecticide distribution optimal? In this research, we explore this question by using models which optimize sandfly mortality rate under limited budget scenario.
  
Title: Demand Substitution in a Dual Sourcing Problem
 Presenting Author: Mustafa Hekimoglu,PhD Student, Erasmus University, Postbus 1738, Rotterdam 3000 DR, Netherlands, hekimoglu@ese.eur.nl
 Co-Author: Alan Scheller-Wolf,Professor of Operations Management, Tepper School of Business, Carnegie Mellon University, Pittsburgh PA 15213, United States of America, awolf@andrew.cmu.edu
 
Abstract: We consider quality difference between products from two suppliers. A natural outcome of this quality difference is demand substitution between products from two suppliers. We prove that the cost function for this model is pseudoconvex, which indicates the optimality of dual index policy under a mild sufficient condition. Also, a heuristic policy is developed by exploiting the myopic cost function. Extensive numerical tests show the heuristic deviates 7% from the optimal cost.
  
Title: ***LATE CANCELLATION***Optimized Surveillance for Mosquito-borne Infections in Louisiana
 Presenting Author: Alexander Gutfraind,University of Illinois at Chicago, 1603 W. Taylor Street Rm. 834, MC 923, Chicago IL 60612, United States of America, agutfraind.research@gmail.com
 Co-Author: Justin Davis,Postdoctoral Fellow, Tulane University, Stanley Thomas Hall 402, New Orleans LA, United States of America, jdavis37@tulane.edu
 Lauren Meyers,Professor, University of Texas at Austin, 1 University Circle, Austin TX 78712, United States of America, laurenmeyers@mail.utexas.edu
 Krishna Patel,University of Texas at Austin, 1 University Circle, Austin TX 78712, United States of America, krishnap19@gmail.com
 
Abstract: Mosquito-borne infections, such as the West Nile Virus, cause millions of infections every year around the globe and in the USA. Infection control requires monitoring of the mosquito vectors. Here we report on one of the first applications of OR methods to this problem. Based on multiple years of data from St. Tammany Parish, LA we developed a spatial statistical model for the surveillance network. Using the model we optimized the efficiency and sensitivity of the surveillance schedule.
  
Title: Failure at the Top: How Power Undermines Collaborative Performance
 Presenting Author: John Hildreth,UC Berkeley, 2220 Piedmont Avenue, Berkeley, United States of America, angus@berkeley.edu
 Co-Author: Cameron Anderson,UC Berkeley, 2220 Piedmont Avenue, Berkeley, United States of America, anderson@haas.berkeley.edu
 
Abstract: How does leaders' power affect their ability to work with other leaders? Laboratory experiments and field studies of executives found that groups of high power individuals performed worse than other groups: High power individuals were less creative when working together in groups and less able to reach agreement on difficult negotiation tasks because these groups engaged in more status conflict, were less focused on their tasks, and shared task information less effectively with each other.
  
Title: Departure Process in Heavily-loaded Service Systems with General Service Times
 Presenting Author: Junfei Huang,Assistant Professor, The Chinese University of Hong Kong, No.12, Chak Cheung Street, Shatin, N.T., Hong Kong - PRC, junfeih@cuhk.edu.hk
 
Abstract: We derive an approximation for departure process in heavily-loaded service systems with general service time distributions. The results is based on some comparison results between loss systems and systems with buffers.
  
Title: ***LATE CANCELLATION***Impact of Operational Drivers on Repurchase Intention in E-fulfilment
 Presenting Author: Nikunj Jain,Indian Institute of Management Indore, Rau-Pithampur Road, Prabhand Shikhar, Indore MP 453331, India, f11nikunjk@iimidr.ac.in
 
Abstract: This study empirically examines the relationship between repurchase intention of customers and order procurement, order fulfilment and reverse service exchanges processes in an online retail environment. After controlling for customers’ preferential brands, partial least squares structural equation modelling(PLS-SEM)analysis shows that operational drivers(ease of return,product information,product availability and condition of product on arrival)significantly affect repurchase intention.
  
Title: Towards Zero-carbon Manufacturing Operation: An Advanced Analytics Decision
 Presenting Author: Tongdan Jin,Associate Professor, Texas State University, 601 University Drive, San Marcos TX 78666, United States of America, tj17@txstate.edu
 Co-Author: Heping Chen,Texas State University, 601 University Drive, San Marcos TX 78666, United States of America, hc15@@txstate.edu
 Jesus Jimenez,Texas State University, 601 University Drive, San Marcos TX 78666, United States of America, jj30@txstate.edu
 Binbin Li,Texas State University, 1014 Sagewood Trail, an Marcos TX 78666, United States of America, b_l77@txstate.edu
 Victor Santana-Viera,Texas State University, 601 University Drive, San Marcos TX 78666, United States of America, vas41@txstate.edu
 
Abstract: This research performs a feasibility analysis on operating large manufacturing facilities under one hundred renewables penetration. We integrate wind turbines and concentrated photovoltaics into large enterprise systems to achieve zero carbon emissions goal. Our numerical experiments show that 100% renewable energy penetration is virtually affordable to any manufacturing facility in the world.
  
Title: New Branching Rules for Integer Programming Using Strong Branching and Sampling
 Presenting Author: Ezgi Karabulut,Georgia Institute of Technology, 755 Ferst Drive NW, Atlanta GA 30332, United States of America, ezgi.karabulut@gatech.edu
 Co-Author: Pierre Le Bodic,Georgia Institute of Technology, 755 Ferst Drive NW, Atlanta GA 30332, United States of America, lebodic@gatech.edu
 George Nemhauser,Georgia Institute of Technology, 755 Ferst Drive NW, Atlanta GA 30332, United States of America, george.nemhauser@isye.gatech.edu
 
Abstract: In this research, we aim to utilize a sampling approach in branch-and-bound trees. For that purpose, we incorporate sampling and strong branching with multiple levels. The first round of experiments on multicommodity network flow problems with fixed charge yield promising results for optimality gap in fixed amount of time.
  
Title: Iterative Simulation-optimization Algorithm for the Ambulance Location Problem
 Presenting Author: Sun Hoon Kim,Yonsei University, Korea, Seoul, Korea, Republic of, misia789@hanmail.net
 Co-Author: Cheng Yu Hwang,Yonsei University, Korea, Seoul, Korea, Republic of, cy_orchid@naver.com
 Young Hoon Lee,Yonsei University, Korea, Seoul, Korea, Republic of, youngh@yonsei.ac.kr
 Hyuk Lee,Yonsei University, Korea, Seoul, Korea, Republic of, keehyuk79@gmail.com
 Kee Yong Shin,Yonsei University, Korea, Seoul, Korea, Republic of, keeyongs@gmail.com
 
Abstract: This study suggests an iterative simulation optimization algorithm for an ambulance location problem to minimize the number of vehicles while achieving required reliability level. An optimization model in the suggested model provides information regarding location of ambulances, the simulation model is used to validate the solution and interaction parameters are updated based on the simulation results. The computational experiments show that the suggested model outperforms existing algorithms
  
Title: A Gage R&R Study in a Healthcare Setting
 Presenting Author: Russell Krenek,Clemson University, 129 Freeman Hall, Clemson SC 29634-0920, United States of America, rkrenek@g.clemson.edu
 Co-Author: Byung Rae Cho,Professor, Clemson University, 152 Freeman Hall, Clemson SC 29634-0920, United States of America, bcho@clemson.edu
 Joel Greenstein,Professor, Clemson University, 148 Freeman, Clemson SC 29634, United States of America, IEJSG@clemson.edu
 Shannon Harris,Greenville Health System, Piedmont Center Suite 410, 33 Villa Road, Greenville SC 29615, United States of America, Sharris@ghs.org
 George Helmrich,CMO, Baptist Easley Hospital / Greenville Health System, 200 Fleetwoord Dr, Easley SC 29641, United States of America, George.Helmrich@baptisteasley.org
 
Abstract: Despite being paramount to healthcare quality improvement initiatives, Gage Repeatability and Reproducibility studies in a hospital setting are rarely studied in the literature. This poster discusses a Gage R&R experiment in a hospital setting by developing various aspects of the quality of measurement associated with medical devices and processes to identify what part of measurement variability is affected by repeatability and reproducibility. A strategy for collecting data is also presented.
  
Title: ***LATE CANCELLATION***Demand Forecasting by Factorization Machines in Fashion Industry
 Presenting Author: Chongshou Li,Phd Candidate, Department of Management Sciences, City University of Hong Kong, To Yuen Building - 2802, Tat Chee Avenue, Kowloon,Hong Kong, Hong Kong, Hong Kong - PRC, chongshli2-c@my.cityu.edu.hk
 Co-Author: Brenda Cheang,Phd, International Center of Management Science and Engineering,School of Management and Engineering,Nanjing Univeristy, 5 Pingcang Alley, Gulou, Nanjing, Jiangs, Nanjing 210093, China, brendacheang@yahoo.com
 Andrew Lim,International Center of Management Science and Engineering, School of Management and Engineering, Nanjing University, 5 Pingcang Alley, Gulou, Nanjing, Jiangs, Nanjing, China, lim.andrew@cityu.edu.hk
 
Abstract: Demand forecasting is a challenging problem because demands for fashion products are highly affected by season, region and short life cycle. Factorization Machines (FMs) have recently been proposed as generic predictors and solved such problems in many areas. In this study, a novel model based on FMs is proposed for fashion products demand forecasting based on sixteen months of sales data from a multinational fashion retailer. Experimental results show that our approach produces good results.
  
Title: ***LATE CANCELLATION***Optimal Pairing of Single and Multi-occupancy Rooms in a Centralized or Decentralized Hospital
 Presenting Author: Richard Latham,RITRochester Institute of Technology, 6000 Reynolds Dr., Box 509, Rochester NY 14623, United States of America, rel5224@rit.edu
 Co-Author: Bruno Alves Maciel,Rochester Institute of Technology, 979 Nathaniel Rochester Hall, Rochester NY, United States of America, ba8641@rit.edu
 Ruben Proano,Doctor, Rochester Institute of Technology, 1 Lomb Memorial Dr, Rochester, United States of America, rpmeie@rit.edu
 
Abstract: The study uses a response surface design with a Monte Carlo simulation experiment to determine the best room configuration for a hospital interested in reducing the number of internal shuffles. These shuffles result from the need to implement isolation requirements to control healthcare-acquired infections in multi-occupancy rooms. The model determines the optimal pairing of single and multi-occupancy rooms in each unit when using a decentralized or centralized scheduling methodology.
  
Title: ***LATE CANCELLATION***A Multilevel Proximal Algorithm for Large Scale Composite Convex Optimization
 Presenting Author: Duy Luong,Dr, Imperial College London, South Kensington, London SW7 2AZ, United Kingdom, vu.luong@imperial.ac.uk
 
Abstract: Composite convex optimization models consist of the minimization of the sum of a smooth convex function and a non-smooth convex function. Such models arise in many applications where, in addition to the composite nature of the objective function, a hierarchy of models is readily available. We propose a novel method to take advantage of the hierarchy of models for computing the search directions. We establish the global convergence and compare with two popular algorithms (ISTA and FISTA).
  
Title: ***LATE CANCELLATION*11-2***Improving Model Inference from FRAP Data - An Example from the Drosophila Wing Disc
 Presenting Author: Lin Lin,University of Minnesota, Twin Cities, 1618 Eustis St., Apt. 9, Saint Paul MN 55108, United States of America, linlinbme2009@gmail.com
 
Abstract: Fluorescence recovery after photobleaching (FRAP) is used to obtain quantitative information about diffusion and binding kinetics by fitting the experimental data to a mathematical model. However, when the system involves the complex interaction of transport and reaction steps, the question arises as to what level the system should be modeled and how one is to estimate the parameters. I will propose a theoretical approach to investigate these questions and to improve parameter estimation.
  
Title: Allocating Linear Rescheduling Cost with Machine Unavailability
 Presenting Author: Zhixin Liu,University of Michigan - Dearborn, 19000 Hubbard Dr, Dearborn MI 48126, United States of America, zhixin@umich.edu
 Co-Author: Liang Lu,Heriot-Watt University, School of Management & Languagues, Edinburgh, United Kingdom, nicowish@gmail.com
 Xiangtong Qi,HKUST, Dept of IELM, Hong Kong, Hong Kong - PRC, ieemqi@ust.hk
 
Abstract: We study a rescheduling problem faced by multiple jobs owners, where jobs need to be rescheduled to minimize the total weighed completion time, when the machine becomes unavailable for a period of time and the initial optimal schedule becomes infeasible. We provide a simple closed form core allocation of the total cost saving for all the jobs, and also provide the Shapley value of the game in a computable form.
  
Title: Stochastic Modeling and Optimization of Biomanufacturing Operations
 Presenting Author: Tugce Martagan,University of Wisconsin-Madison, 4701 Sheboygan Avenue, Madison WI, United States of America, martagan@wisc.edu
 Co-Author: Ananth Krishnamurthy,University of Wisconsin-Madison, University of Wisconsin Madison, Madison, United States of America, ananth@engr.wisc.edu
 
Abstract: We consider the manufacturing of custom-made proteins. We first develop reliability models and condition-based control policies for fermentation systems. Next, we investigate optimal protein purification strategies via dynamic programming to minimize costs. We collaborate with several local biomanufacturing companies to validate our models and implement our findings.
  
Title: Measuring Near Real-time Harm in the Hospital Using Electronic Health Records (EHR)
 Presenting Author: Seyed Mani Marashi,PhD Student, Wayne State University, 4815 Fourth Street, Detroit MI 48202, United States of America, ez6964@wayne.edu
 Co-Author: Kenneth Chelst,Professor, Wayne State University, 4815 Fourth Street, Detroit MI 48202, United States of America, kchelst@wayne.edu
 Jack Jordan,Director of Advanced Analytics, Henry Ford Health Systems, Henry Ford Health System-1 Ford Place, Detroit MI 48202, United States of America, jjordan1@hfhs.org
 
Abstract: Harm occurs when a patient develops a new medical problem in a hospital. It is historically measured using billing data that lags the actual harm by weeks and also has accuracy issues. We used electronic health records to achieve better and faster measurement using cases of venous thromboembolism.
  
Title: Mathematical Analysis of Fireworks Displays with Respect to Solid Angles
 Presenting Author: Yohei Okimura,Keio University, 3-14-1 Hiyoshi, Kohoku-ku, Yokohama 223-8522, Japan, youhei.o@a7.keio.jp
 Co-Author: Yudai Honma,Assistant Professor, The University of Tokyo, Komaba 4-6-1, Meguro-ku, Tokyo 153-8505, Japan, yudai@iis.u-tokyo.ac.jp
 Osamu Kurita,Professor, Keio University, 3-14-1 Hiyoshi, Kouhoku-ku, Yokohama 223-8522, Japan, kurita@z6.keio.jp
 Takamori Ukai,Assistant Professor, Chuo University, 1-13-27 Kasuga, Bunkyo-ku, Tokyo 112-8551, Japan, ukai@ise.chuo-u.ac.jp
 
Abstract: Fireworks displays are typical features of Japanese summer. We propose a mathematical model to evaluate the optimal viewing points for fireworks displays based on computational geometry algorithms. We calculate the solid angles of actual fireworks displays with respect to the shielding by millions of existing buildings in Tokyo metropolitan area.
  
Title: Evaluating Algorithms for Processing Nuclear Detection Sensor Data
 Presenting Author: Christie Nelson,Rutgers University, 23A Norwood Ct, Princeton NJ 08540, United States of America, christie.l.nelson.phd@gmail.com
 Co-Author: Paul Kantor,CCICADA, Rutgers University, Rutgers, 4th Floor CORE Building, 96 Frelinghuysen Road, Piscataway NJ 08854, United States of America, paul.kantor@rutgers.edu
 William M. Pottenger,CCICADA, Rutgers University, 4th Floor, CORE Building, 96 Frelinghuysen Road, Piscataway NJ 08854, United States of America, billp@dimacs.rutgers.edu
 Fred Roberts,CCICADA, Rutgers University, 4th floor, CORE Building, 96 Frelinghuysen Road, Piscataway NJ 08854, United States of America, froberts@dimacs.rutgers.edu
 
Abstract: Many nuclear detection algorithms have been developed for scanning vehicles for threats and must be evaluated fairly. An approach is to conduct experiments with simulated data using sensor data as input, with a goal to find experimental configurations revealing meaningful differences between algorithms. Combinatorial Experimental Design provides a set of configurations which cover all levels and pairs of levels of important variables; these must be reviewed and valued by subject matter experts.
  
Title: Exact and Heuristic Anytime Algorithms for Solving the Knapsack Problem
 Presenting Author: Diego Mesquita,University of Alberta, 2-32 Athabasca Hall, Edmonton AB T6G2E8, Canada, parentep@ualberta.ca
 
Abstract: In 1997, Richard E. Korf presented an approach for solving Combinatorial Optimization problems which has been successfully applied to problems such as Number Partitioning and Bin Packing. In this work we apply it to the Knapsack Problem and provide a critique of Korf's method.
  
Title: Group Buying: Retail Stores’ Performance and Implications
 Presenting Author: Qijun Qiu,The University of Hong Kong, RM 723, 7/F, K. K. Leung Building, The University of Hong Kong,Pokfulam RD., Hong Kong, Hong Kong - PRC, angieq@connect.hku.hk
 Co-Author: Benjamin Yen,Associate Professor, The University of Hong Kong, School of Business, K. K. Leung Building, The University of Hong Kong,Pokfulam RD., Hong Kong, Hong Kong - PRC, benyen@business.hku.hk
 
Abstract: We study a new promotion strategy, Group Buying (GB), in which consumers enjoy a price discount by forming a group. We build monopoly and competition models to examine if and how store offers GB in a sustainable manner. We find that store’s decision depends on the market pattern and its regular pricing policy, while it still can manage to secure a reasonable profit. Further, store competition affects the equilibrium in a quite dramatic way. All these explain the prevalence of GB worldwide.
  
Title: Credit Card Holders Behavioral Modeling: Multistage Regression Approach
 Presenting Author: Denys Osipenko,Doctoral Researcher, The University of Edinburgh Business School, 29 Buccleuch Place, Edinburgh EH8 9JS, United Kingdom, denis.osipenko@gmail.com
 Co-Author: Johnathan Crook,Professor,
 
Abstract: Because of the variety of the card holders’ behaviour patterns and income sources each consumer account can move to different states. The key question is which approach gives more accurate results: multinomial logistic regression or multistage decision tree with binary logistic regressions. This paper investigates the approaches to credit cards profitability estimation at account level based on multistates conditional probability.
  
Title: AI-AFTER: Identifying the Right Goal of Forecast Combination
 Presenting Author: Craig Rolling,Assistant Professor, Lundquist College of Business, 1208 University of Oregon, Eugene OR 97403, United States of America, crolling@uoregon.edu
 
Abstract: There are two potential goals of forecast combination: combining for adaptation or combining for improvement. It is important to know which goal is more appropriate for a given analysis so that a suitable combination method may be used. AI-AFTER first determines the appropriate goal of forecast combination, then combines the forecasts to achieve the proper goal. As a result of this approach, the combined forecasts from AI-AFTER perform well in both adaptation and improvement scenarios.
  
Title: Modeling Red and Yellow Alert Durations for Ambulance Systems as Partial Busy Periods
 Presenting Author: Amir Rastpour,University of Alberta, Edmonton AB, Canada, rastpour@ualberta.ca
 
Abstract: Ambulance system Red and Yellow alerts are time periods during which all or most ambulances are busy, respectively. Modeling such systems as Erlang loss systems, we obtain the first moment of alert period duration, and show that our results are consistent with empirical data from Calgary. We also obtain alert duration Laplace Transform and higher moments when the service time distribution is general. We study the impact on alert duration of increasing the number or service speed of ambulances.
  
Title: Development of Control Models for the Planning of Sustainable Transportation Systems
 Presenting Author: Alexander Paz,University of Nevada, PO Box 454015, Las Vegas NV 89154, United States of America, apaz@unlv.edu
 Co-Author: Pushkin Kachroo,Professor, University of Nevada, Las Vegas, 4505 Maryland Parkway, PO Box 454015, LAS VEGAS Ne 89154, United States of America, pushkin@unlv.edu
 Pankaj Maheshwari,Ph.D. Candidate, University of Nevada, Las Vegas, 4505 Maryland Parkway, PO Box 454015, LAS VEGAS Ne 89154, United States of America, maheshwa@unlv.nevada.edu
 
Abstract: The proposed research envisages how to incorporate sustainability considerations into the transportation planning process. A dynamic model for planning and development of sustainable transportation systems is presented. A system of three nonlinear differential equations is used to represent the dynamics of three states; namely Transportation, Activity, and Environmental systems. A policy scenario considering investment in energy efficient technologies and its effects is discussed.
  
Title: The Behavior of Government Subsidies to Low-carbon Products and Social Welfare Analysis
 Presenting Author: Jie Ren,University of Science and Technology of China, School of Management, 96 Jinzhai Road, Hefei 230026, China, ahrj@mail.ustc.edu.cn
 
Abstract: We study the effect of government subsidies to individual consumers, manufacturers or both subsidized by using three modes of game between government and enterprises. In order to provide a support for the government to make scientific subsidies decisions and for the manufacturers and consumers to make good decisions in the context of government subsidies, we analysis the impact of different government subsidies modes on the manufacturer's revenue, consumer surplus and social welfare.
  
Title: ***LATE CANCELLATION***A Defender-Attacker-Defender Model for Railway Infrastructure
 Presenting Author: Hassan Sarhadi,PhD Student, Memorial University of Newfoundland, 57 Allandale Road, PO BOX 534, St.John's NL A1B 3S7, Canada, hassan.sarhadi@mun.ca
 Co-Author: David Tulett,Associate Professor, Memorial University of Newfoundland, Faculty of Business Administration, A1B 3X5, St.John's NL A1B 3X5, Canada, dtulett@mun.ca
 Manish Verma,Associate Professor, McMaster University, 1280 Main Street W, Hamilton, Canada, mverma@mcmaster.ca
 
Abstract: Owners of railway facilities need to defend their assets, particularly railyards, against attack by terrorists. We use a Defender-Attacker-Defender framework to model this problem. The resulting mathematical formulation is very complex, but we are able to solve the problem optimally for a small number of protected/interdicted terminals.
  
Title: Buyer-supplier Relationship: The Impact of Service Logistics Level in Customer Satisfaction and Loyalty
 Presenting Author: Mauro Sampaio,FEI University, Campus of São Bernardo, São Bernardo do Campo 09850-901, Brazil, msampaio@fei.edu.br
 
Abstract: The objective of this research is to demonstrate the impact of logistics service on customer satisfaction and, consequently, on their loyalty. Empirical evidence is provided on the relationship between operational and relational performance, satisfaction, affective commitment, purchasing behavior and loyalty of buyers from the Brazilian industry.
  
Title: Using Big Data Analytic to Eliminate Empty Miles in Logistics
 Presenting Author: Haibo Wang,Texas A&M International University, 5201 University Blvd, Laredo TX 78041, United States of America, hwang@tamiu.edu
 Co-Author: Jun Huang,Texas A&M International Univeristy, 5201 University blvd, Laredo, United States of America, junhuang@dusty.tamiu.edu
 Wei Ning,Texas A&M International University, 5201 University blvd, Laredo, United States of America, weining@dusty.tamiu.edu
 Wei Wang,Texas A&M International University, 5201 University Blvd, Laredo, United States of America, weiwang@dusty.tamiu.edu
 
Abstract: This study presents a framework using information system based on big data analytic and cloud computing to eliminate empty miles to improve the efficiency of logistics. First, data and text mining tools are used to extract valuable information automatically for input, then a mathematical programming model is proposed to solve the problem of matching shipments with carriers in term of time and cost. The customer retention and dynamic pricing schedule are also implemented in the proposed system.
  
Title: Discounting over Subjective Time: One Step towards a Unified Theory of Intertemporal Choice
 Presenting Author: Yitong Wang,Lecturer, University of Technology, Sydney, Cnr Quay Street and Ultimo Road, Haymarket NSW NS 2000, Australia, yitongwang@uts.edu.au
 Co-Author: Liangyan Wang,Associate Professor, Shanghai Jiaotong University, 535 Fahua Zhen Rd., Shanghai SH 200052, China, wly@situ.edu.cn
 L. Robin Wang,Professor, University of California, Irvine, The Paul Merage School of Business, UCI, Irvine CA 92617, United States of America, lrkeller@uci.edu
 
Abstract: Discounted utility theory has been regarded as the normative theory when modelling inter-temporal choice. However, existing research suggests people in general don’t obey discounted utility theory as their discount rates are context dependent. This paper incorporates decision makers’ time perception into discounted utility model and finds relatively constant discount rates over subjective time. Our finding helps in developing a unified theory for inter-temporal decision making.
  
Title: Dynamic Optimal Inflow Control with Queues for Minimal Evacuation Time in a Tsunami Inundated Area
 Presenting Author: Junji Urata,The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku 1138656, Japan, urata@bin.t.u-tokyo.ac.jp
 Co-Author: Eiji Hato,The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku To 1138656, Japan, hato@bin.t.u-tokyo.ac.jp
 
Abstract: The optimal control is needed to prevent a traffic congestion for evacuation in a tsunami inundated area. This paper proposes a dynamic inflow control model on intersections and aims to minimize the evacuation time. This model treats the flow conservation, the FIFO and the physical queues in a many-to-one network. The Pontryagin's maximum principle is applied to get the earliest evacuation time. The dynamic optimization is formulated by the constrained conditions of DTA.
  
Title: Operations Research for Functional Neuroimaging
 Presenting Author: Svetlana Soloveva,PhD Student, Rutgers University, 617 Bowser Road, Piscataway NJ 08854, United States of America, svetsolo@rutgers.edu
 Co-Author: Dimitris Metaxas,Distinguished Professor, Rutgers University, 617 Bowser Road, Piscataway NJ 08854, United States of America, dnm@cs.rutgers.edu
 
Abstract: Our goal is to identify disease related features and common features of a healthy brain through characterization of changes in connectivity of functional networks. Our neuroimaging data is recorded with MEG and MRI. We solve inverse electromagnetic problem for realistic head models to localize sources of activity in the brain. Measures of functional similarity are used for network analysis.
  
Title: WLC-based Process Plan Decision and its Heuristic Approaches
 Presenting Author: Boxuan Zhao,Xi'an Jiaotong University, xi'an jiaotong university, xi'an, china, xi'an, China, zbx.1067@stu.xjtu.edu.cn
 Co-Author: Kun Chen,xi'an jiaotong university, xi'an jiaotong university, xi'an, china, xi'an, China, 15098684@qq.com
 Jianmin Gao,Xi'an Jiaotong University, xi'an jiaotong university, xi'an, china, xi'an, China, 569725328@qq.com
 
Abstract: This paper investigates WLC-based process plan decision which is a real-time dynamic and closed loop decision-making method for process planning, and derives nine heuristic approaches. The simulation results in the general job shop show the strategies considering order features outperform those considering shop status. The processing-time-related strategies perform best and present a good robustness as the workload control is relaxed. The locations of focused stations affect their performances.
  
Title: Common Pitfalls in “Common Practice”
 Presenting Author: Channing (Chang Yan,Senior Consultant, Decision Strategies, Inc., Houston TX 77042, United States of America, cyan@decisionstrategies.com
 
Abstract: Traditionally drilling time and cost have always been estimated deterministically. A typical approach is to develop an approximate average and then add enough contingency until we feel comfortable with the number. Few people realize the danger of this practice, and most consider it to be “conservative”; hence it is all “good”. This paper challenges the convention and demonstrates what has always been done in the past is not necessarily always right or a best practice. It points out several common pitfalls in our common practice as well as challenges in influencing people with a new way of thinking.
  
Title: Modeling Brand Correlation through Iterative Sparsity Search
 Presenting Author: Qiong Zhang,Virginia Commonwealth University, 1015 Floyd Avenue Richmond, VA 23284-308, Richmond VA 23294, United States of America, zhangqiong1985@gmail.com
 
Abstract: We propose a novel statistical approach to estimate the covariance structure of multiple brands in grocery stores. The method can also be used for predicting brand performances in unexplored markets.
  
Title: A Simulated-based Approach for ED Patient Throughput and Med/surg Unit Workforce Optimization
 Presenting Author: Jingyu Zhang,Philips Research North America, 345 Scarborough Rd, Briarcliff Manor NY 10510, United States of America, jingyu.zhang@philips.com
 Co-Author: Therese Fitzpatrick,Philips Healthcare, 3000 Minuteman Road, Andover MA, United States of America, therese.fitzpatrick@philips.com
 Zhichao Shu,Graduate Program in Operations Research and Industrial Engineering, The University of Texas, Austin TX 78712, United States of America, shuzhichao@gmail.com
 Xiang Zhong,University of Wisconsin-Madison, Dept. of Industrial and Systems Engineer, Madison WI 53706, United States of America, xzhong4@wisc.edu
 
Abstract: Many hospitals in the US face serious patient throughput problems especially in their emergency department (ED). While new patients wait long time for ED beds, ED beds are still occupied by those patients who should have moved to other general med/surg units. A root cause is the workforce utilization problem in those general units. We developed a simulation-based approach to improve ED patient throughput and optimize med/surg unit workforce simultaneously.
  
Title: ***LATE CANCELLATION***Modified Cell Transmission Model for Traffic Signal Control Optimization
 Presenting Author: Hao YU,Southeast University, 2 Sipailou, Nanjing 210096, China, seudarwin@gmail.com
 
Abstract: The traffic signal timing optimization problem is formulated based on a modified cell transmission model. The node model of the new CTM is enhanced to capture complex traffic signal control strategies. Detailed model structure is proposed, as well as some numerical studies. It shows that the new model is able to simulate different traffic signal control strategies, with quite low additional computation.