2015 Informs Annual Meeting

WC64

INFORMS Philadelphia – 2015

3 - Optimizing The Online Sellers’ Shipping Strategy and Return Service Charge Jointly Huijun Hou, University of Science and Technology of China,

4 - Investment in Shared Supplier under Spillover, Uncertainty, and Competition Youngsoo Kim, University of Illinois at Urbana-Champaign, Urbana, IL, United States of America, ykim180@illinois.edu, Anupam Agrawal, Dharma Kwon, Suresh Muthulingam We consider two competing buyers who can invest into their common supplier under spillover and uncertainty. One firm’s investment could be spilled to the other through the shared supplier. Moreover, return on investment is unknown to the buyers though it can be learned based on the supplier’s performance. Modeling as real option game, we find two equilibria, one of which has been rarely studied in literature, and we characterize the conditions under which the investment is hastened or delayed.

No.96, JinZhai Road, Hefei, 230026, China, hjhou90@mail.ustc.edu.cn, Xiangyu Meng

Our work develops a theoretical model to optimize the sellers’ shipping strategy of free shipping or not and return service charge jointly when no-reason return are admitted. The results imply that the sellers should adjust their shipping strategy and return service charge according to the market environment. Data experiments show that the joint optimal decisions could improve the sellers’ profit and keep it more stable with the change of the price effectively. 4 - Optimal Routing for Multi-channel Call Centers with Idling Times during the Service Process Oualid Jouini, Associate Professor, Ecole Centrale Paris, LGI, Grande Voie des Vignes, Chatenay-Malabry, 92290, France, oualid.jouini@ecp.fr, Ger Koole, Benjamin Legros We consider a call center with inbound and outbound jobs. The inbound service is characterized by three successive stages where the second one is a break (idle time for the agent). This leads to a new opportunity to efficiently split the agent time between inbounds and outbounds. We focus on the optimization of the outbound job routing to agents. We prove for the optimal policy that all the time there is at least a systematic treatment of outbounds, either during the break, or between two calls. 5 - Lodging Capacity Analytics for the Qatar 2022 Fifa World Cup Ahmed Ghoniem, Isenberg School of Management, UMass Amherst, 121 Presidents Dr., Amherst, MA, 01002, United States of America, aghoniem@isenberg.umass.edu, Agha Iqbal Ali Capacity analytics is important for small countries, such as Qatar, that host the FIFA World Cup. We develop an Analytics-Optimization framework that assesses the lodging preparedness of the host country under an array of likely scenarios. WC64 64-Room 113A, CC Strategic Decision Making Sponsor: Decision Analysis Sponsored Session Chair: Wenxin Xu, Illinois University, United Sates of America, wxu9@illinois.edu Co-Chair: Youngsoo Kim, University of Illinois at Urbana-Champaign, ykim180@illinois.edu 1 - Strategic Decisions for Bringing Innovation to Market in Presence of Spillover Risks Yunke Mai, Duke University, Duke University, Durham, NC, United States of America, yunke.mai@duke.edu, Sasa Pekec We study optimal sourcing strategies of a technology innovator facing a manufacturer who is also a competitor in the product end market. The competing manufacturer has its own inferior product which could be improved through technology spillover, should a contract with the innovator be secured. We characterize the equilibria and analyze comparative statics in several variants of this supply chain/innovation management game. 2 - Decision Analysis using Holistic Component as Opposed to Conventional Attribute Driven Methodology Subhabrata Bapi Sen, Adjunct Faculty, Sillberman College of Business, 32 Rolling Hill Dr, Chatham, NJ, 07928, United States of America, bapi45@fdu.edu The holistic approach - 5 stage skill acquisition model that differentiate “knowing how” from “knowing that” is better than multi-attribute decision analysis (MDA) supported by AI which uses decomposition. This truly reflect the decision making as an inscrutable business, a mysterious blending of careful analysis, intuition, and the wisdom and judgement distilled from experience that takes us away from limited rationality to a-rational domain which limit unmindful use of MDA in social policy. 3 - The Impact of Spillover in R and D Competition Wenxin Xu, Illinois University, United States of America,wxu9@illinois.edu, Jovan Grahovac, Dharma Kwon Why are some firms willing to disclose their intellectual properties to their competitors while others are not? To answer this, we investigate a game theoretic duopoly model to examine the impact of spillover on R&D investment strategies when the R&D completion times are uncertain. We find that spillover may or may not hurt the more efficient firm. We identify the conditions under which the more efficient firm benefits from spillover.

WC65 65-Room 113B, CC Intelligent Transportation Systems Contributed Session

Chair: Xiaoyun Zhao, PhD Student, Dalarna University, Sweden, Hˆgskolan Dalarna, 79188 Falun, Falun, 79188, Sweden, xzh@du.se 1 - Nonparametric, Heterogeneous Demand for Autonomous Electric Vehicles Ricardo Daziano, Assistant Professor, Cornell University, 305 Hollister Hall, Ithaca, NY, 14853, United States of America, daziano@cornell.edu In this paper we use data about vehicle preferences, and automation awareness and attitudes. A sample of 1,260 respondents answered a discrete choice experiment especially designed for this study. Several models were estimated, including a semi-parametric random parameter logit (with assumption-free heterogeneity distributions that are a mixture of normals). Estimation of the Gaussian mixture model was implemented in R using the maximum simulated likelihood estimator with analytical gradients. 2 - Deployment and Utilization of Plug-in Electric Vehicles in Round-trip Carsharing Systems Stephen Zoepf, MIT, 1039 Massachusetts Ave., #302, Cambridge, MA, 02138, United States of America, szoepf@mac.com, Alexandre Jacquillat Plug-in Electric Vehicles (PEVs) can reduce gasoline consumption but are also constrained by range limitations and recharging requirements. We address the problem of PEV utilization in a round-trip carsharing system by optimizing and simulating the assignment of trips to vehicles. We use these results to inform the deployment of PEVs in the carsharing fleet. We find that PEV deployment and utilization can reduce gasoline consumption significantly and improve carsharing operators’ profitability. 3 - Connected Vehicle V2i(vehicle-to-infrastructure) Based Microscopic Dynamic Merge Coordination System Xiaowen Jiang, Ph.d Fellow, Rutgers, The State University of New Jersey, #736 CORE Building Busch Campus, 96 Frelinghuysen Rd, Piscataway, NJ, 08854, United States of America, xiaowen.jiang@rutgers.edu, Peter J. Jin This paper proposes a connected vehicle V2I(Vehicle-to-Infrastructure) based dynamic merge coordination system. The system assumes DSRC Road-side Unit (RSU) can obtain full vehicle trajectories through radar sensors and will coordinate all DSRC-equipped thru and ramp vehicles. Each ramp vehicle is paired and synchronized with a targeted gap on the through lane. The putative following (PF) vehicle of the gap will be advised to yield and maintain enough gap to allow smooth merging. 4 - Framework for Standalone Application Development for Traffic Management in Ad Hoc Networks Sayyid Vaqar, KFUPM, P.O. Box 983, Dhahran, 312600, Saudi Arabia, savaqar@kfupm.edu.sa Road traffic condition awareness is an important tool in traffic management in intelligent transportation systems. We propose a framework to develop standalone application to be run on participating node in the network that can process information collected from neighboring nodes to predict driving condition down the road. The nodes can communicate with each other for gathering data but processing and decision making is done individually. 5 - On Processing and Evaluating GPS Based Traffic Data Xiaoyun Zhao, PhD Student, Dalarna University, Sweden, Hügskolan Dalarna, 79188 Falun, Falun, 79188, Sweden, xzh@du.se, Kenneth Carling, Johan HÂkansson This paper aims to evaluate the reliability of GPS based traffic data to reveal the neglected but susceptible measurement error. We assess the reliability of the data on geographical positioning, speed and altitude for three types of vehicles: bike, car and bus with a randomized experiment. We outline a general procedure for data processing considering no standard software packages or procedures are available in former studies.

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