2016 INFORMS Annual Meeting Program

TD72

INFORMS Nashville – 2016

TD70 Acoustic- Omni Transportation, Planning III Contributed Session

2 - Heuristic Approaches For Advanced Pick, Place, And Transport- vehicle Routing Optimization Problems: Applications In Warehouse Order Picking Robotics Hung-Yu Lee, PhD Student, Auburn University, 306 E Magnolia Avenue, 3339 Shelby Center, Auburn, AL, 36849, United States, hzl0024@auburn.edu, Chase Murray The pick, place, and transport vehicle routing problem (PPT-VRP) was presented in our previous work. The problem is a variant of vehicle routing problems with multiple synchronization constraints representing the collaborations between two types of heterogeneous vehicles at certain locations for warehousing order picking. For shortening the routes, an advanced PPT-VRP is proposed to consider the collaborations at more potential locations. Heuristic approaches are proposed to solve the problems of practical sizes. From the managerial prospective, trade- offs to improve the routing performance, such as between using vehicles with faster speeds versus with higher capacity, are investigated. 3 - Addressing Uncertainty In Meter Reading For Utility Companies Using Radio-frequency Identification Technology Debdatta Sinha Roy, PhD Student, Robert H. Smith School of Business, University of Maryland, 7699 Mowatt Lane, 3330 Van Munching Hall, College Park, MD, 20742, United States, debsroy@rhsmith.umd.edu, Bruce L Golden Utility companies have to collect usage data from meters on a regular basis. It is done automatically using radio-frequency identification (RFID) technology. Each meter has a signal transmitter and a receiver can read it within a certain specified distance. It is a Close Enough Vehicle Routing Problem (CEVRP) on a street network. In reality, there is lot of uncertainty while reading meters. Each meter differs with respect to the distance from which they are read and this distance varies from day-to-day. We address this uncertainty using data analytics and we seek to design improved routes. Chair: Jooyol Maeng, Assistant Professor, Pacific Lutheran University, School of Business, 12180 Park Avenue S, Tacoma, WA, 98447-0003, United States, maengjy@plu.edu 1 - Vertical Integration And Diversification: Value Chain Analysis From The Smartphone Industry Suri Gurumurthi, University of North Carolina, 3516 Sawtelle Boulevard, Apt 114, Los Angeles, CA, 90066, United States, Suri_Gurumurthi@kenan-flagler.unc.edu The strategy literature studies vertical integration from the perspective of core competencies, while the operations literature uses models based on cost and risk structures. Both however, points to the diminished differentiation capacity for a vertically integrated firm that might make outsourcing more attractive at various stages in the value chain. Using economic and operational models, I outline some long term benefits of vertical integration to the diversified firm whose business segments have considerable overlap. The benefits are shown to be predicated on the increased synergies and capabilities in innovation provided to a vertically integrated firm. 3 - Supply Chain Ambidexterity Mehmet G Yalcin, University of Rhode Island, 216 Ballentine Hall, 7 Lippitt Road, Kingston, RI, 02881, United States, mgyalcin@uri.edu, Douglas N Hales Grounded with ambidexterity theory, this research study proposes that while supply chain ambidexterity (SCX) has a positive influence in firm performance, SCX factors consist of supply chain integration (SCI), and supply chain agility (SCA). Employing literature review, interviews, and survey methods within the research design, the applied SCX is proposed in an empirical model with supply chain management related concepts that are used in the extant literature and among practitioners. In other words, the applied model posits a relationship between SCI and SCA towards forming SCX. The interaction between SCI and SCA is further investigated. 4 - Entry Deterrence And Price Competition Under Asymmetric Information Jooyol Maeng, Assistant Professor, Pacific Lutheran University, School of Business, 12180 Park Avenue S, Tacoma, WA, 98447- 0003, United States, maengjy@plu.edu, Sungyong Choi An incumbent has an incentive to deter entry of a potential entrant by lowering pre-entry price. We study limit pricing in a price-based duopoly market under asymmetric demand information. We present a separating perfect Bayesian equilibrium, which indicates the incumbent with private information can successfully deter entry. TD72 Bass- Omni Supply Chain Mgt XII Contributed Session

Chair: Fan Xiao, Ph.D Student, Tongji University, Zhangwu Rd 1, Tongji Building A, 1913, Shanghai, 200092, China, 892225786@qq.com 1 - The Effect Of Parking Price Adjustment On Drivers Behavior Evidence From Sf Park Program Ahmad Mohassel, PhD Candidate, University of Arizona, 1130 E helen st, McClelland Hall, 401, Tucson, AZ, 85721, United States, mohassel@email.arizona.edu Congestion pricing is considered the solution to the high traffic congestion cost. One way to implement congestion pricing is to use real time pricing for parking spaces in the downtown areas of the large cities. Using the data from SFpark pricing experiment that was conducted between 2011 and 2014 in San Francisco, I investigate the effect of real-time pricing on driver’s behavior. The effect of the experiment is a reduction in the traffic congestion and a decrease in the search cost for available parking. The results of this paper help to design a market mechanism to relieve congestion. 2 - Service Network Design With Heterogeneous Fleet And Time Requirements Zujian Wang, Tsinghua University, Beijing, China, buwansangyu@gmail.com To satisfy specific real-life demand of freight transportation carriers, this paper proposes an arc-based formulation for service network design with time requirements to schedule heterogeneous fleet. The computational study indicates the validity of the formulation both academically and practically. The results shows that heterogeneous fleet is essential to tactical planning for increasing the loading rate of vehicles. 3 - Holistic Trip Planning In The Charter Bus Business In the charter bus business, generally a single request is planned and priced at a time. This practice leads to a considerable amount of empty trips and driver idle times. Our holistic approach is to dynamically plan and price all requests within a certain time interval yielding significant economic and environmental benefits. The approach is based on dynamic programming and state of the art metaheuristics. Applied to real-world data, our results reveal that bus operators use their buses and drivers more efficiently, customers pay less and the booking agency makes more profit. Further, since empty trips are minimized, environmental pollution is reduced. 4 - Modeling Dynamics Of Crowd-delivery And Activity Participation Behavior Mahdieh Allahviranloo, Assistant Professor, City College New York, CUNY, Steinman Hall, Rm T-134, 160 Convent Avenue, New York, NY, 10031, United States, mallahviranloo@ccny.cuny.edu The work presented here is devoted to designing an optimal crowd-shipping model based on activity enrollment behavior of travelers and assessing its impacts on shifting demand for travel on a synthesized population. The analysis was performed using household travel survey data for New York City. Vehicle Routing V Contributed Session Chair: Debdatta Sinha Roy, PhD Student, Robert H. Smith School of Business, University of Maryland, 7699 Mowatt Lane, 3330 Van Munching Hall, College Park, MD, 20742, United States, debsroy@rhsmith.umd.edu 1 - A Multi Depot Vehicle Routing Problem With Partial Coverage Elham Kookhahi, wichita state university, 2330 N Oliver St Apt 1018, Wichita, KS, 67220, United States, exkookhahi@wichita.edu Elham Kookhahi, wichita state university, Wichita, KS, United States, exkookhahi@wichita.edu, Mehmet Bayram Yildirim, Mehmet Bayram Yildirim In this paper, a mathematical model is presented for a multi depot capacitated vehicle routing problem with partial coverage in which a sub tour of a set of cities can be visited to maximize the number of customers that can be served with a limited budget and time. The problem is solved using a genetic algorithm and numerical results are presented. Alexander Döge, Technical University of Munich, Schaufeleinstrasse 27B, Munich, 80687, Germany, alexander.doege@tum.de TD71 Electric- Omni

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