Informs Annual Meeting Phoenix 2018

INFORMS Phoenix – 2018

TA79

2 - A Covering Model for Locating Ridesharing Depots for Hurricane Evacuation

3 - Pothole Repair Using a MIP Approach for Scheduling Jobs with Degradation Rate Fatemeh Aarabi, Amherst, NY, 14228, United States We study the processing time scheduling of a network of jobs wherein the processing time of each job deteriorates with its start time. To better understanding, we consider one of the applications of this problem in transportation. Seeking to minimize the total process time of jobs, a MIP model is proposed. We present a model which not only accounts to process highly degraded jobs as soon as possible but also considers travel distances between them. Due to the NP-hard nature of the problem, greedy algorithm and chronological decomposition are presented. Different instances of the problem are examined on the transportation network of Buffalo, NY. 4 - Civic Engagement & Community Operational Research: A Case Study of Street Sweeping in Jersey City, NJ

Forough Enayaty Ahangar, University of Wisconsin-Madison, 3267 Mechanical Eng. Building, Madison, WI, 53706, United States, Laura Albert We study a class of network optimization problems that enhance a hurricane evacuation system using ridesharing. Our research proposes ridesharing in which people with no proper vehicle or access to public transportation can travel to a safe location by vehicle owners willing to share rides. We formulate a model that identifies multiple depot locations among available public locations (e.g., public schools) and assigns available vehicles to travelers based on the vehicle capacities. The goal is to maximize the number of covered travelers needing rides. We conclude with a discussion of preliminary results demonstrating the performance of the proposed model. 3 - Dynamic Resource and Equipment Allocation for an Arctic Mass Rescue Event Mustafa Can Camur, Rensselaer Polytechnic Institute, 66 13th St. BSMT, Troy, NY, 12180, United States, Thomas Sharkey, Martha Grabowski, Clare Dorsey We present a mass rescue model containing dynamic logistics decisions for a large-scale maritime evacuation in the Arctic with the objectives of minimizing the impact of the event on the evacuees and the total evacuation time. We model the concept of deprivation costs by incorporating priority levels capturing the severeness of evacuees’ current medical situation and period indicating the amount of time an evacuee has not received key relief resources. These costs increase with priority level and period. We will discuss experimental results with policy questions. 4 - Analyzing Competing EMSs in Emerging Economies Jungeun Shin, University of Illinois Urbana-Champaign, Urbana, IL, United States, Jugal Garg, Lavanya Marla, Peter Christopher McGlaughlin We consider Emergency Medical System(EMS) in non-cooperative settings where customers call multiple EMSs. The patient chooses the first ambulance to arrive, causing wastage and opportunity costs for others. We study a simplified setting of two EMSs located at either end of a unit line, and analyze the coverage strategies of the players under such customer behavior. We show this non-cooperative game has a unique symmetric pure Nash equilibrium, and analyze the Price of Non-Cooperation. n TA78 West Bldg 213B Sustainable Transportation/Logistics in Public Sector OR II Sponsored: Public Sector OR Sponsored Session Chair: Sung Hoon Chung, Binghamton University, Binghamton, NY, 13902, United States 1 - Pseudo Node Insertion and Robust Optimization Approaches for Drone-Truck Combined Delivery Jinkun Lee, East Carolina University, Greenville, NC, United States, Sung Hoon Chung We consider a drone-truck combined delivery problem, the advantage of which can be summarized in two folds: 1) enabling faster delivery of items and 2) expanding delivery areas. We use vehicle routing models and algorithms as a basis for our research and add special features such as pseudo node insertion and robust optimization. The purpose of such added features is to resolve drone-truck synchronization issue and eventually to make the drone-truck combined routing more efficient. We formulate a mixed integer programming problem and apply a heuristic method to solve the model as well as the robust counterpart. We present case study examples and discuss efficacy and efficiency of our proposed approach. 2 - Waiting Strategy for the Dynamic Pickup and Delivery Problem with Time Windows in Food Delivery Service Hyunjoon Kim, Pohang University of Science and Technology (POSTECH), 77 Cheongam-Ro, Nam-Gu, Pohang, Kyungbuk, 37673, Korea, Republic of, Byung-In Kim, Byeongmok Kim We study a dynamic pickup and delivery problem with time windows in quick food delivery business. The problem has multiple objectives: (1) minimize the total delay time of orders, (2) maximize the number of delivered orders, and (3) balance the delivered orders among used vehicles to make income of drivers even. We propose an efficient solution approach for the problem. In addition, we test existing strategies such as drive-first, wait-first, and stochastic-wait and propose a new strategy to handle the dynamics of the problem. Experimental results demonstrate the effectiveness of the approach.

EunSu Lee, New Jersey City University, 200 Hudson Stree, Harborside 2, #234H, Jersey City, NJ, 07311, United States, Yi-Yu Chen

This presentation will demonstrate a practice of civic engagement and community operational research using the case study of street sweeping in Jersey City, NJ. New Jersey City University (NJCU) recently initiated a pedagogical framework of civic engagement to achieve a mission of urban public university in New Jersey. The presentation will discuss the procedure of developing a civic engagement course and student activities. The audience will be engaged and participated in discussion during the presentation.

n TA79 Hyatt, Curtis A Supply Chain Management I Contributed Session

Chair: Ozgun Caliskan Demirag, Penn State Erie, The Behrend College, Black School of Business, 5101 Jordan Road Rm Redc 259, Erie, PA, 16563, United States 1 - Trust or Screening? A Study of Impacts of Information Asymmetry on Supply Chains Xinghao Yan, Assistant Professor, The University of Toledo, 2801 W. Bancroft Street, Toledo, OH, 43606, United States, Meng Li This paper studies the impacts of information asymmetry on the supply chain from the perspective of behavioral operations. A supplier receives demand information from a retailer’s “cheap talkö. The supplier has two options to deal with information asymmetry and information credibility: trust the information to some extent or information screening. We compare the two options and find that no option always dominates the other. Interestingly, there are cases where both supply chain members and the system are all better off if the supplier trusts the information without information screening. 2 - Boundedness and Complexity in Ethical Purchasing Decisions Xingzhi Jia, PhD Student, Texas A&M University, Wehner Building, 4113 TAMU, 210 Olsen Blvd, College Station, TX, 77843, United States, Haipeng (Allan) Chen, Xenophon Koufteros This study investigates purchasing manager’s decision-making when both financial and ethical considerations are invoked. We empirically demonstrate that individuals exhibit bounded and complex behavioral patterns due to the interplay between financial benefits and ethical considerations. The observed outcome of ethical decision-making may therefore be driven by multiple mechanisms. 3 - Coordination of Make to Order Supply Chain with Volume Flexibility Shan Chang, Huazhong University of Science & Technology, Wu han, China, Bin Hu, Tingting Wang, Long Ding We investigated the upstream manufacturer’s investment decision of flexible production capacity in a two-stage supply chain with one downstream retailer, and designed a coordination mechanism, a combination of subsidy for the salvage value and punishment to the shortage, to make the both firms be better off. 4 - The Framework for Optimal Supplier Evaluation Based on DEA JaeHyeok Jo, Undergraduate, Kyungpook National University, Daegu, Korea, Republic of, Sungsu Kim This research’s purpose is to propose the framework to evaluate focal company’s shoring strategies. As globalization progresses, multinational companies are being exposed to risks of host countries for operations. Although overseas suppliers’ assessment is appeared to be important, the evaluating process for shoring strategies have not been drawn enough attention. This study proposes a linear programming based DEA framework to assess foreign suppliers. Also, integer programming model is introduced to offer an optimal shoring strategy to assist management on shoring decisions.

271