2016 INFORMS Annual Meeting Program

WB71

INFORMS Nashville – 2016

WB72 Bass- Omni Supply Chain Mgt XIV Contributed Session 1 - The Effect Of Store-Induced Returns on Warehouse Store Supply Chain Hao-Wei Chen, San Jose State University, San Jose, CA, 95125, United States, hao-wei.chen@sjsu.edu, Wen-Ya Wang In a warehouse clubs supply chain, the suppliers are usually responsible for any cost induced by merchandise returns. When a product has a higher than usual return rate, a store may strategically ask other customers to return their same purchases voluntarily in order to maintain store reputation. We study how such a strategy affect the quality of the product provided by the supplier and the profits of the supplier and the retailer. 2 - The Impact Of 3D Printing On Spare Parts Management Jakob Heinen, PhD Candidate, Kühne Logistics University, Based on logistical decision parameters and supply chain performance criteria, the research aims to identify spare parts that offer a potential for 3D printing. A theoretical model is developed contrasting subtractive (conventional) production with inventories against a production using 3D printers with no or highly reduced inventories. In calculating the optimal inventory policies for both manufacturing approaches, we identify cost settings where additive manufacturing is preferable over traditional manufacturing. In addition, a large data set of spare part inventory and demand data is utilized to provide a use case for the introduced model. 3 - Outsourcing With Learning-by-doing: The Case Of Two Oems Min Wang, Drexel University, 3220 Market Street, Philadelphia, PA, 19104, United States, mw638@drexel.edu, Wenjing Shen In this paper, we consider two OEMs outsourcing to a single powerful CM, and both OEMs and CM can learn from production to reduce future cost. We show that even if the two OEMs do not compete with each other, the presence of another OEM outsourcing to the same CM can have a significant impact on an OEM. 4 - Robust Optimization Of The Beer Distribution Game Incorporating Uncertainties In Forecasted Customer Demand Adarsh Elango, Application Engineer, ESTECO North America, 39555 Orchard Hill Place, Suite 457, Novi, MI, 48375, United States, elango@esteco.com, Saket Kansara, Zhendan Xue This paper introduces a novel concept of adding uncertainty over the customer demand cycle to the well-known theoretical example - Beer Distribution Game. The added uncertainties make the model a closer representation of the real market dynamics. A robustness assessment as well as a robust optimization approach is used to determine the best ordering policies across an entire supply chain. Various optimization formulations such as single objective and multi- objective have been compared using traditional and robust optimization approaches. Großer Grasbrook 17, Hamburg, 20457, Germany, johannes.jakob.heinen@the-klu.org, Kai Hoberg

5 - An Optimized Insertion Method To Prevent Bus Bunching: Simulation And Comparisons Antoine Petit, U of Illinois at Urbana-Champaign, 205 N Mathews Avenue, # B156, Urbana, IL, 61801, United States, apetit@illinois.edu, Yanfeng Ouyang Bunching is an inherent problem in transit systems, due to the randomness of passengers arrival and traffic conditions. Because maintaining regular bus headways is critical for providing a satisfactory service to the passengers, transit agencies developed strategies to mitigate this problem. Although convenient, those methods fall short if they were not optimized. This work proposes an optimized bus insertion approach to prevent bus bunching, by minimizing the in- vehicle travel time and the agency costs. Managerial decisions will include the location and size of the idling fleet, and the headway threshold to put the extra buses in service.

WB71 Electric- Omni

Game Theory II Contributed Session Chair: Meilin He, University at Buffalo, SUNY, 4291 Chestnut Ridge Rd. Apt 5, Buffalo, NY, 14228, United States, meilinhe@buffalo.edu 1 - Cooperative Game Theory Applied To Clusters Competitive Value

Dionicio Neira, Universidad de la Costa, CUC, Barranquilla, Colombia, dneira1@cuc.edu.co, Daniela Carolina Landinez, Diana Gineth Ramirez-Ríos, Luis Eduardo Ramirez

This research is based on the analysis of supply chains in clusters, where it is known that the competitiveness of the company participating in the cluster contributes to the cluster’s competitive value as a whole. This paper proposes cooperative game theory to suggest the contribution of these companies, which is based not only on its individual competitiveness but also on its willingness to cooperate. Shapley value was calculated to obtain a solution that is both stable and feasible for the companies involved. 2 - An Evolutionary Stochastic Multi Agent Game To Forecast The Procurement Of Food Grains From Farmers In a Public Distribution System Sankaranarayanan G, Research Scholar, IIT-Kharagpur, B-121 Sir Acharya Jagadish Chandra Bose, IIT-Kharagpur Campus, Midnapore, 721302, India, samhara23@gmail.com, Sri Krishna Kumar, Manoj Kumar Tiwari A stochastic multi-agent evolutionary game is proposed to obtain forecast of the procurement of food grains in a public distribution system for effective decision making in supply chain planning and ensuring preparedness in presence of Interdictions. 3 - Regret-optimal Strategies For Playing Repeated Games With Discounted Losses Vijay Kamble, Stanford University, Stanford, CA, United States, vijaykamble.iitkgp@gmail.com The regret-minimization paradigm has emerged as a powerful technique for designing algorithms for online decision-making in adversarial environments. But so far, designing exact minmax-optimal algorithms for minimizing the worst-case regret has proven to be a difficult task in general, with only a few known results in specific settings. In this paper, we present a novel set-valued dynamic programming approach for designing such exact regret-optimal policies for playing repeated games with discounted losses. As an illustration of our approach, we design the first known near-optimal strategy for prediction using expert advice for the case of 2 experts and discounted losses. 4 - An Attacker-defender Resource Allocation Game With Complementary Or Substituting Effects Meilin He, University at Buffalo, SUNY, 4291 Chestnut Ridge Rd. Apt 5, Buffalo, NY, 14228, United States, meilinhe@buffalo.edu, Jun Zhuang This work develops a game-theoretical model for the government’s resource allocations facing with strategic attackers, with consideration of the complementary or substituting effects. We study how the joint effectiveness and the uncertainty of the interactions between different security programs influence the defender’s and the corresponding attacker’s strategies. Then we explore the dynamics between defender and attacker. We provide numerical illustrations using real data, then compare the results of the models with and without the joint effectiveness coefficient. Finally, we conduct the sensitivity analysis. This research helps provide new insights into security budget allocation.

WB73 Legends A- Omni Operations Management VI Contributed Session

Chair: Xiaochun Feng, Dalian University of Technology, No.2 Linggong Road, Ganjingzi District, Dalian, 116024, China, fxc11011@126.com 1 - Coauthor Network Analysis Of Operations Management Journals Bonie(He) Zhang, PhD Candidate, Rutgers University, 1 Washington Park, # 196 Mailbox, Newark, NJ, 07102, United States, boniezhang331@gmail.com, Yao Zhao We study the co-author network of flag-ship INFORMS journals in operations management such as Management Science and Operations Research. We present our modeling approach and our empirical exploration characterizes the changing patterns of the co-author network and provides insights to authors on how to improve productivity through exploitation of the academic social network.

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