2016 INFORMS Annual Meeting Program

SA72

INFORMS Nashville – 2016

SA70 Acoustic- Omni Transportation, Freight I Contributed Session

3 - A Mixed Integer Programming Model For Dynamic Taxi Sharing Considering Provider Revenue Yeming Hao, Research Assistant, University of Maryland-College Park, 8136 Paint Branch Dr., 0147C Engineering Laboratory, College Park, MD, 20742, United States, yhao@umd.edu, Ali Haghani This paper proposed an optimization model for Dynamic Taxi Sharing(DTS), which allows two groups of taxi users to ride on the same taxi together. The significance of the taxi-sharing service was evaluated. A customized matching algorithm for taxi drivers and user pairs was developed to maximize taxi providers’ revenue. We also designed a DTS fare calculation scheme which can automatically calculate the fare for each DTS user and self-adjust to balance the taxi occupancy rate in real time. A real world case was studied to demonstrate the DTS system is beneficial to taxi users, drivers and providers. 4 - Bike System Rebalancing In Omaha Nebraska Betty Love, University of Nebraska - Omaha, Mathematics Department, Omaha, NE, 68182, United States, blove@unomaha.edu, Livvia Bechtold Heartland B-cycle in Omaha, Nebraska is a bike sharing system that operates over 70 stations and 150 bikes. Rebalancing is done daily using one truck. We present the results of our work on the rebalancing problem using both integer programming and heuristic approaches. SA72 Bass- Omni Supply Chain Mgt I Contributed Session Chair: Qiaohai (Joice) Hu, City University of Hong Kong, AC-1, Room 7605, Dept of management Science, Kowloon, Hong Kong, joice.hu@gmail.com 1 - Modeling And Analysis Of Supply Chain Coordination Under The Crowd-funding Financing Kuan Zeng, Dr, Huazhong University of Science and Technology, Wuhan, China, zk00315@126.com, Xianhao Xu In this paper, we consider a supply chain which consists of a single manufacture and a single retailer with a single new product. The retailer designs a new product and posts it on the crowd-funding platform for financing. If the financing target is reached, the retailer will initiate cooperation with manufacture and decide the quantity of the mass production and the manufacture will decide the price accordingly. The target of the manufacture and retailer is to maximize their own profit. We also consider and analyze the situation in which manufacture will provide the retailer a quantity related trade credit. 2 - Swapping Inventory Between Competing Firms Seung Jae Park, Assistant Professor, Ewha Womans University, Seoul, Korea, Republic of, park.s@ewha.ac.kr We investigate how competing firms swap inventory. We first show that the firms would not swap inventory without a sophisticated method. However, under our proposed inventory swapping method, competing firms swap a positive amount of inventory. We also find that the swapped quantity increases as transportation costs decrease, and swapping inventory may not be beneficial if the transportation cost is either too low or too high. In addition, we show that firms may prefer to return the physical products to pay the value difference, especially if they are risk- averse. 3 - Manufacturers’ Strategic Responses To Power Imbalance In Supply Chains Zhexiong Tao, McGill University, 1001 Rue Sherbrooke O, Montreal, QC, H3A1G5, Canada, zhexiong.tao@mail.mcgill.ca Shanling Li, Saibal Ray Our research presents a model of the manufacturer’s strategic responses to the imbalance of power in supply chain relationships and empirically tests it using plant-level data. Analysis results show that in different contexts, the manufacturer will adopt different strategies and integration mechanisms to counteract the dominance of the strong actors. 4 - Debt Finanacing And Specific Capacity Investment Qiaohai (Joice) Hu, City University of Hong Kong, AC-1, Room 7605, Dept of Management Science, Kowloon, Hong Kong, joice.hu@gmail.com The supplier has to commit to building specific capacity for the buyer before demand uncertainty has been resolved. After uncertainty has been resolves, the parties engage in a bargaining game to decide whether or not to trade and at what price. We show that debt financing can improve supplier’s bargaining position. However, this expanded capacity is still below the channel-efficient level because debt financing reduces the probability of trade. Surprisingly, the supplier’s debt financing may also benefit the buyer and encourage the buyer to invest in value enhancement. Actually, the supplier’s debt may result in Pareto improvement.

Chair: Mohammad Torkjazi, University of South Carolina, 620 Heidt Street, Apt 1, Columbia, SC, 29205, United States, torkjazi@email.sc.edu 1 - Stacking Containers In An Automated Terminal Amir Hossein Gharehgozli, Texas A&M University at Galveston, P.O. Box 1675, Galveston, TX, 77553, United States, gharehga@tamug.edu We study temporary stacking of containers in an automated terminal. In such terminals, containers to be transported the hinterland or other terminals are stacked in compact stacks with multiple piles of containers. Transfer zones located at both ends of each stack are used to stack and retrieve containers. We propose a mathematical model to stack containers. 2 - An Economical, Reliable And Sustainable Transport Strategy: Synchromodality From Shipper’s Perspective Chuanwen Dong, Kuehne Logistics University, Grosser Grasbrook 17, Hamburg, 20457, Germany, chuanwen.dong@the-klu.org Robert Boute, Alan Mckinnon, Marc Verelst In order to cut the GHG emission by 60-80% by 2050, innovation is needed to shift more volume from trucks to trains. We argue that the current standstill of modal split is due to a lack of holistic understanding of the supply chain changes driven by modal split. Building on a literature review, we broaden the conventional focus of multimodal transport to a supply chain viewpoint and propose a new concept: synchromodality from shipper’s perspective. We apply our approach to a case of an FMCG firm and quantitatively demonstrate that the shipper can significantly reduce its emission without sacrificing cost or service level. 3 - Design Of Truck Appointment System Mohammad Torkjazi, University of South Carolina, Columbia, SC, 29205, United States, torkjazi@email.sc.edu, Nathan Huynh The truck appointment system can adjust the length of queue at the gate of the marine container terminals. This adjustment affects the terminal operations as well as trucking companies’ schedule. This study proposes a new mathematical formulation for the truck appointment system which optimizes terminal operations as well as trucking companies’ schedule. Chair: Betty Love, University of Nebraska - Omaha, Mathematics Department, Omaha, NE, 68182, United States, blove@unomaha.edu 1 - Bus Service Design Under Demand Diversion And Dynamic Roadway Congestion Based On Aggregated Network Models Antoine Petit, Research Assistant, U of Illinois at Urbana- Champaign, 205 N Mathews Avenue, # B156, Urbana, IL, 61801, United States, apetit@illinois.edu, Mehmet Yildirimoglu, Nikolas Geroliminis, Yanfeng Ouyang This paper proposes an integrated methodological framework to design a spatial- dependent bus route network and time-dependent headways to serve travel demand that varies over time and space. Travelers choose transit or driving mode (as well as travel paths) that minimizes its equilibrium travel cost in the multi- modal network. Numerical experiments are used to demonstrate the applicability of the proposed modeling framework and provide managerial insights on the influence of the demand pattern, transit network design, and roadway congestion on the system performance. 2 - Evaluating Impacts Of Rainfall On Subway Ridership In Manhattan By Utilizing Bayesian Hierarchical Poisson Regression Model Shirin Najafabadi, PhD Candidate, CCNY, 650 West 42nd Street, Apt 3014, New York, NY, 10036, United States, shirin.najaf@gmail.com, Ali Hamidi, Mahdieh Allahviranloo, Naresh Devineni Impacts of rainfall on subway ridership in Manhattan was studied by using ridership and hydrology data for the year 2010-2011. Using Bootstrap technique, several hypothesis on ridership for different days of the week were constructed and tested. We present Bayesian Hierarchical Poisson Regression Model and incorporate Land-use characteristics as the influential factor in the estimation of ridership, as well as in estimating the sensitivity of the ridership to rainfall. A preliminary comparison between the Bayesian model and simple Poisson regression model supports the use of the former model. SA71 Electric- Omni Transportation, Public I Contributed Session

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