Table of Contents Table of Contents
Previous Page  357 / 561 Next Page
Information
Show Menu
Previous Page 357 / 561 Next Page
Page Background

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.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

Alexander Döge, Technical University of Munich,

Schaufeleinstrasse 27B, Munich, 80687, Germany,

alexander.doege@tum.de

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.

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.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.

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.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