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INFORMS Nashville – 2016
357
TD70
Acoustic- Omni
Transportation, Planning III
Contributed Session
Chair: Fan Xiao, Ph.D Student, Tongji University, Zhangwu Rd 1, Tongji
Building A, 1913, Shanghai, 200092, China,
892225786@qq.com1 - 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.eduCongestion 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.comTo 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
Alexander Döge, Technical University of Munich,
Schaufeleinstrasse 27B, Munich, 80687, Germany,
alexander.doege@tum.deIn 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.eduThe 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.
TD71
Electric- Omni
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.edu1 - 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.eduElham 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.
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.
TD72
Bass- Omni
Supply Chain Mgt XII
Contributed Session
Chair: Jooyol Maeng, Assistant Professor, Pacific Lutheran University,
School of Business, 12180 Park Avenue S, Tacoma, WA, 98447-0003,
United States,
maengjy@plu.edu1 - 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.eduThe 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