2016 INFORMS Annual Meeting Program

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INFORMS Nashville – 2016
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these systems for the movement and storage of goods.
2 - The Impact Of U. S. Chassis Supply Models On
Drayage Productivity
Samaneh Shiri, Research Assistant, University of South Carolina,
101 pickens st. APt. G2, Columbia, SC, 29205, United States,
Nathan Huynh
The U.S. container chassis supply market is changing and new models are
emerging recently. Supply chain stakeholders such as drayage companies could be
affected by evolving models. To study this effect on drayage operation
productivity, drayage problem is formulated as an extension of the multiple
traveling salesman problem with time window. The proposed solution method is
based on tabu search.
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Electric- Omni
Transportation, Public II
Contributed Session
1 - The Simultaneous Vehicle Scheduling And Passenger Service
Problem With Flexible Dwell Times
Allan Larsen, Associate Professor, Technical University of
Denmark, DTU, Building 115 Room 003, Lyngby, DK-2800,
Denmark, , Joao F Fonseca, Evelien van der Hurk,
Roberto Roberti, Stefan Røpke
In the SVSPSP-FDT the original timetables of the trips can be changed (i.e.,
shifted and stretched) in order to minimize a new objective function that aims at
minimizing the operational costs plus the waiting times of the passengers at
transfer points. The SVSPSP-FDT establishes the possibility of changing trips’
dwell times at important transfer points based on expected passenger flows. A
compact mixed integer linear formulation of the SVSPSP-FDT capable a solving
small instances as well as a meta-heuristic approach to solve medium/large
instances are presented. The proposed solution methods are tested on a set of
real-life instances from the greater Copenhagen area.
2 - A Static Repositioning Problem With Two Commodities For
Bike-sharing Systems
Tiantian Zhu, Nanyang Technological University, 50 Nanyang
Avenue, Singapore, 639798, Singapore,
Xiaofeng Nie
In order to handle the issue of static repositioning for bike-sharing systems, a
novel integer optimization model is formulated, defining repositioning activities
as transferring both bikes and lockers. To handle larger-scale cases, a new cluster-
first route-second heuristic is proposed. Based on a set of modified instances from
the literature, the heuristic is tested to show its efficiency.
3 - Impact Of Carpool Lane Availability And Traffic Conditions On
Peer-to-peer Ridesharing Demand
Sara Masoud, University of Arizona, 1300 E Fort Lowell Road,
# A214, Tucson, AZ, 85719, United States,
, Neda Masoud, Young-Jun Son
This research examines the impact of carpool lane availability and traffic
conditions on ridesharing demand using an agent-based simulation model. The
proposed work uses a many-to-one ride-matching algorithm in which each rider
can travel by means of transferring between multiple drivers’ vehicles. A ride-
matching algorithm is embedded in the agent-based microscopic traffic simulation
software AnyLogic®. Trip tables derived from a real travel demand data set of Los
Angeles, California have been used to calibrate the simulation model. The results
of this research will shed light on the types of urban settings that are more
receptive towards ridesharing services.
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Bass- Omni
Supply Chain Mgt II
Contributed Session
Chair: Mojtaba Mahdavi, PhD Student, University of Auckland, 12
Grafton Road, Auckland, New Zealand,
1 - Optimal Procurement Design For A National Brand Supplier In
The Presence Of Store Brand Competition
Xiang Fang, Associate Professor, University of Wisconsin-
Milwaukee, 3202 North Maryland Avenue, Milwaukee, WI,
53211, United States, , Xinyan Cao
We consider a supply chain consisting of a national brand supplier and a retailer
which intends to develop its own store brand. We develop a game-theoretic
framework to analyze the strategic interaction between the two players in the
presence of asymmetric information.
2 - Optimizing Array Of Shipping Cartons For Ecom DCS
Manjeet Singh, Research Manager, DHL Supply Chain,
570 Polaris Parkway, Westerville, OH, 43082, United States,
Dimensional weight charges previously restricted to large packages are now
applied to all packages. This has a large impact on Ecom DCs, we found that even
in a small piece pick and pack operation on an average over 50% of shipments
are now subjected to dimensional weight. Therefore, optimizing the array of
shipping cartons can have a huge impact in combating dimensional weight
charges. This study puts a special focus on large shipments, which are subjected to
more severe charges. Additionally, it also makes recommendations on when to
utilize made to order packaging.
3 - How To Design Effective Supply Chain Strategies Based On The
Product And Demand Characteristics
Mojtaba Mahdavi, PhD Student, University of Auckland,
12 Grafton Road, Auckland, New Zealand,
, Tava Olsen
This paper analyzes how different characteristics of product and demand impact
the capacity of supply chain strategies for efficiency and responsiveness. In our
modeling work, we particularly discuss the impact of product life cycle, demand
variability, contribution margin, and stock-out rate on both inventory and lead-
time decisions.
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Legends G- Omni
JFIG Paper Competition II
Sponsored: Junior Faculty JFIG
Sponsored Session
Chair: Andrew Schaefer, Rice University, 6100 Main Street - MS 134,
Houston, TX, 77005, United States,
1 - JFIG Paper Competition II
Andrew Schaefer, Rice University, 6100 Main Street - MS 134,
Houston, TX, 77005, United States,
The 2016 JFIG paper competition features paper submissions from a diverse array
of talented junior faculty members. The prize committee evaluated submissions
based on the importance of the topic, appropriateness of the approach, and
significance of the contribution. After careful review, the prize committee selected
a group of finalists to present their research in one of the two JFIG sessions. For
information on the finalists and their papers, please refer to the online program.
2 - Simple Bayesian Algorithms For Identifying The Best Arm In A
Multi-armed Bandit
Daniel Russo, Northwestern University, Evanston, IL,
This talk considers the optimal adaptive allocation of measurement effort for
identifying the best among a finite set of options or designs. An experimenter
sequentially chooses designs to measure and observes noisy signals of their
quality with the goal of confidently identifying the best design after a small
number of measurements. I propose three simple Bayesian algorithms for
adaptively allocating measurement effort. Each is shown to have strong
performance in numerical experiments, and a unified analysis establishes each
satisfies a strong asymptotic optimality property.
3 - Recovering Statistical Guarantees Via The Empirical Robust
Optimization
Henry Lam, the University of Michigan,
We investigate the use of distributionally robust optimization (DRO) in recovering
the statistical guarantees provided by the best benchmark that is in line with the
central limit theorem, for the feasibility of expected value constraints. We show
that the divergence ball, suitably empirically defined, and with its size calibrated
by the quantile of a chi-square process excursion, amounts to such guarantees.
The construction of this ball deviates from the standard mechanism of DRO in
that the ball can have low, or even zero probability of covering the true
distribution. Rather its performance is explained by connecting the dual of the
DRO with a generalization of the empirical likelihood method.
4 - Staffing to Stabilize the Tail Probability of Delay in Service
Systems with Time-Varying Demand
Yunan Liu, North Carolina State University, Raleigh, NC,
Abstract to come.
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