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INFORMS Philadelphia – 2015

116

analyzed.

4 - Effective and Equitable Supply of Gasoline to Impacted Areas in

The Aftermath of a Natural Disaster

Rajan Batta, Suny Distinguished Professor, University at Buffalo

(SUNY), 410 Bell Hall, Buffalo, United States of America,

batta@buffalo.edu

, Changhyun Kwon, Xiaoping Li

Supply chain disruptions of hazmat commodities, such as gas shortages, have

resulted from the post-natural disaster conditions as seen during and after

Hurricane Sandy, 2008, China winter storms and the 2010 Chilean earthquake.

We develop a transportation logistics model aimed at providing feasible and cost-

effective solutions to alleviate the impact of gasoline shortage.

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69-Room 201C, CC

Facility Logistics I

Sponsor: TSL/Facility Logistics

Sponsored Session

Chair: Sadan Kulturel-Konak, Professor, Pennsylvania State University,

Berks Campus, Reading, PA, 19609, United States of America,

sadan@psu.edu

1 - Distribution Operations with Item Location Uncertainty

Jennifer Pazour, Assistant Professor, Rensselaer Polytechnic

Institute, 110 Eighth Street, Troy, NY, 12180,

United States of America,

pazouj@rpi.edu

Item location uncertainty can occur in a number of environments, including sea-

based, healthcare, and retail logistics environments. Yet, such existence has been

ignored in existing warehouse and distribution decision making models. Thus, we

develop analytical models to study the impact of item location uncertainty on

order-fulfillment policies and logistics performance measures.

2 - Optimal Assignment of Airport Baggage Unloading Zones to

Outgoing Flights

Marc Goetschalkx,

marc.goetschalckx@isye.gatech.edu,

Pratik Mital, Edward Huang

In this work, the airport outbound baggage assignment problem is modeled as a

Vector Assignement Problem (VAP). VAP is a new category of optimization

problems which belongs to the class of Assignment Problems (AP), but has unique

properties which make it harder to solve. A real airport case study is presented, to

which the optimization models developed are applied. The performance of the

optimization models is compared to typical heuristics used in the literature to

solve this problem.

3 - Using Real-time Employee Location to Make Hospital

Transport Assignments

Dale Masel, Associate Professor, Ohio University,

270 Stocker Center, Athens, OH, 45701, United States of

America,

masel@ohio.edu,

Connor Mcmahon, Seth Hostetler

In a hospital, employees who are responsible for transporting patients and

equipment are a critical resource for patient care and efficient operations. Getting

patients to appointments on time is essential for preventing delays at the labs and

clinics in the hospital. By knowing where each transporter is located when a

request is received, their time to reach a patient who needs to be transported can

be determined. This allows assignments to be made more effectively, reducing

patient waiting.

4 - Zone Based Dynamic Facility Layout Problem

Sadan Kulturel-Konak, Professor, Pennsylvania State University,

Berks Campus, Reading, PA, 19609, United States of America,

sadan@psu.edu

In this study, a zone-based Dynamic Facility Layout Problem (DFLP) is under

consideration to design manufacturing and logistics facilities considering material

handling infrastructure. A hybrid approach is proposed to solve the problem and

promising numerical results are presented for a comprehensive set of test

problems from the literature.

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70-Room 202A, CC

RAS Roundtable: Part I Railroad Operations

Efficiency and Recovery

Sponsor: Railway Applications

Sponsored Session

Chair: Erick Wikum, Principal Scientist, Tata Consultancy Services,

1000 Summit Drive, Milford, OH, 45150, United States of America,

erick.wikum@tcs.com

1 - Railroad Operations Efficiency and Recovery

Erick Wikum, Principal Scientist, Tata Consultancy Services,

1000 Summit Drive, Milford, OH, 45150, United States of

America,

erick.wikum@tcs.com,

Jeffrey Guelker, Bob Gutman,

Clark Cheng

In the railroad industry, achieving efficient operations and developing the

capability to recover from inevitable disruptions are key to both customer service

and financial performance. In this session, the first of two, panelists from the

railroad industry worldwide explore how to define and measure efficiency and

recovery and share case studies and a vision for the role OR/MS and analytics has

played and can play in operational efficiency and recovery.

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71-Room 202B, CC

Public Transportation Modeling

Sponsor: TSL/Urban Transportation

Sponsored Session

Chair: Nicholas Lownes, University of Connecticut, 261 Glenbrook Rd,

U-3037, Storrs, Co, 06269, United States of America,

nlownes@engr.uconn.edu

1 - Optimizing Transit Network Design for Equity

Kelly Bertolaccini, Ph. D. Candidate, University of Connecticut,

260 Glenbrook Rd, Storrs, CT, 06269, United States of America,

klb06003@engr.uconn.edu

, Nicholas Lownes

The equitable provision of public transit services is a major concern for planners

worldwide, yet few tools are currently available for those seeking to incorporate

equity into their transit network designs. This research proposes a method for

directly incorporating equity into the stop grouping and stop sequencing

components of the Transit Network Design Problem. An iterative process is used

to combine the stop sequencing and grouping models to design equitable, multi-

route transit systems.

2 - Integrated Planning of Park-and-Ride Facility and Transit Service

Ziqi Song, Assistant Professor, Utah State University, 4110 Old

Main Hill, Logan, UT, 84322-4110, United States of America,

ziqi.song@usu.edu

This research proposes an integrated planning framework to strategically locate

park-and-ride (P&R) facilities and optimize transit service frequency

simultaneously. P&R users’ route choice behavior is explicitly considered and a

link-based multimodal user equilibrium model is established. The optimal P&R

facility and transit service design problem is formulated as a mathematical

program with complementarity constraints, and a solution algorithm based on the

active-set approach is used.

3 - Evaluating Zoning Strategies for Demand Responsive

Transit Systems

Mahour Rahimi, University of Massachusetts, Amherst, 139

Marston Hall, 130 Natural Resources Rd., Amherst, MA, 01003,

United States of America,

mrahimi@umass.edu,

Eric Gonzales

DRT systems often divide their service area into smaller regions in order to

simplify operations. However, this management strategy can create inefficiencies.

This paper develops an analytical formulation to explain the relation between

agency cost and zoning strategies. The two main objectives are to understand

when a service area needs to be divided into smaller regions to reduce the total

costs of a DRT system and how the split should be done in order to be the most

cost effective.

4 - Effects of Real-time Information Services over the Performance of

Transit Systems

Ricardo Giesen, Assistant Professor, Pontificia Universidad

Catolica de Chile, Vicuna Mackenna 4860, Macul, Santiago,

Chile,

giesen@ing.puc.cl

, Emilio Nacelle, Leandro Segura,

Matías Estrada, Antonio Mauttone

We study the influence of real-time information services over the performance of

bus transit systems from the users’ perspective. Six variants of passenger behavior

models representing different degrees of information availability are proposed and

embedded into a simulation framework. We perform a comprehensive set of

experiments, using a small city. The impact of different assumptions concerning

information availability is analyzed in terms of user travel time.

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