2016 INFORMS Annual Meeting Program

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INFORMS Nashville – 2016
41
SA70
Acoustic- Omni
Transportation, Freight I
Contributed Session
Chair: Mohammad Torkjazi, University of South Carolina,
620 Heidt Street, Apt 1, Columbia, SC, 29205, United States,
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,
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,
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, ,
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.
SA71
Electric- Omni
Transportation, Public I
Contributed Session
Chair: Betty Love, University of Nebraska - Omaha, Mathematics
Department, Omaha, NE, 68182, United States,
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, , 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,
, 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.
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, ,
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,
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,
1 - Modeling And Analysis Of Supply Chain Coordination Under The
Crowd-funding Financing
Kuan Zeng, Dr, Huazhong University of Science and Technology,
Wuhan, China, 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,
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,
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,
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.
SA72