2016 INFORMS Annual Meeting Program

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INFORMS Nashville – 2016
327
TC70
Acoustic- Omni
Transportation, Planning II
Contributed Session
Chair: Bruce C Hartman, Professor, University of St Francis, 684 Benicia
Drive #50, Santa Rosa, CA, 95409, United States,
1 - Modeling Wet Pavement Crashes
Michael Anderson, Professor, UAH, Civil Engineering,
Huntsville, AL, 35899, United States,
Mehrnaz Doustmohammadi
Crashes when the pavement is wet are a significant issue within Alabama. This
work develops models to identify the key roadway and pavement characteristics
that are associated with wet pavement crashes. Additionally, the analysis will
include the type of crash generally occurring and the cause of the crash associated
with wet pavement.
2 - A Framework For Intelligent Decision Support System For Traffic
Congestion Management System
Mohamad kamal El Din Ahmad Hasan, Professor of Operations
and Supply Chain Manag, Dept. of Quantitative Methods and
Information Systems, CBA, Kuwait University, Department of
Quantitative Methods and Information Systems, College of
Business Administration, Kuwait University, P.O. Box 5486, Safat
13055, Kuwait City, 13055, Kuwait,
Traffic congestion problem is one of the major problems that face many
transportation decision makers for urban areas. The problem has many impacts
on social, economic and development aspects of urban areas. In this paper we
propose a comprehensive framework for an Intelligent Decision Support System
(IDSS) for Traffic Congestion Management System that utilizes a state of the art
transportation network equilibrium modeling and providing an easy to use GIS-
based interaction environment. The developed IDSS reduces the dependability on
the expertise and level of education of the transportation planners, transportation
engineers, or any transportation decision makers.
3 - Locating Emergency Vehicles With An Approximate Queueing
Model And A Meta-heuristic Solution Approach
M. Altan Akdogan, Research Assistant, Middle East Technical
University, Ankara, Turkey, Z Pelin Bayindir,
Cem Iyigun
In this study, optimal location decision of Emergency Service(ES) vehicles such as
ambulances as a server-to-customer service is discussed. Spatial Queueing Model
(SQM) is introduced for spatial networks in locating emergency vehicles in the
literature. This study proposes a generalization of SQM for complete networks.
Service times for the calls are differentiated for every demand call regarding the
location of the responding vehicle and the demand call. The number of servers
located in a single location is taken unrestricted. The effect of allowing multiple
servers in a location is reported. A genetic algorithm is proposed to solve the
model for which no closed-form expression exists.
4 - Toll Road Profit Maximization Under Mixed Travel Behaviors Of
Cars And Trucks
Xiaolei Guo, Associate Professor, University of Windsor, Odette
School of Business, 401 Sunset Avnue, Windsor, ON, N9B 3P4,
Canada, Da Xu, Guoqing Zhang
This paper examines the profit maximizing behavior of a private firm which
operates a toll road competing against a free alternative in presence of cars and
trucks. Trucks differ from cars in value of time, congestion externality, pavement
damage, and link travel time function. We assume that trucks choose routes
deterministically (i.e., choose the route with the lowest actual cost) while cars
follow stochastic user equilibrium in route choice (i.e., choose the route with the
lowest perceived cost).
5 - Transportation, Jobs And Social Networks
Bruce C Hartman, Professor, University of St Francis,
684 Benicia Drive #50, Santa Rosa, CA, 95409, United States,
Bruce C Hartman, Professor, California State University Maritime,
200 Maritime Academy Drive, Vallejo, CA, 94590, United States,
Logistics clusters provide economic benefit, but expansion has not produced
proportionate sector job growth. We hypothesize a network effect not accounted
for in traditional analysis. We apply egonets from social network analysis to a
weighted network modeled by Total Requirements matrix data for 15 US industry
clusters. We propose network measures of value creation and leverage for each
sector. A quadrant assessment of our two measures classifies influence of industry
sectors. Transportation and Wholesaling sectors create high leverage in the
industries they touch, using relatively low value added.
TC71
Electric- Omni
Vehicle Routing IV
Contributed Session
Chair: Jimena A. Pascual, P. Universidad Católica de Valparaíso,
Valparaíso, Chile,
1 - Using Drones To Minimize Waiting Times Of Customers
Mohammad Moshref-Javadi, PhD Candidate, Purdue University,
School of Industrial Engineering, 315 N. Grant St., West Lafayette,
IN, 47907, United States, Seokcheon Lee
Drone is an emerging technology which can be used in logistics operations for
more efficient transportation. We propose a new problem which incorporates
drones in delivery processes to minimize waiting time of recipients.
2 - A Mathematical Programming Framework That Integrates
Customer Decisions Within The Distribution Planning Of
Petroleum Products
Yan Cheng Hsu, University at Buffalo, SUNY, 412 Bell Hall,
Buffalo, NY, 14260, United States, ,
Jose Luis Walteros, Rajan Batta
This work develops a methodological framework for designing the daily
distribution and replenishment operations of petroleum products by
simultaneously considering the perspectives of both the transporter and its
customers. We provide empirical evidence that minor alterations to the customer
requirements, triggered by some strategic decisions by the transporter, can in turn
fexibilize the transporters’ restrictions, allowing for better routing strategies that
reduce late deliveries. Therefore, The main objective of this work is studying the
interactions that exist between these strategic and operational decisions within a
unied approach.
4 - Solving Multi Period Multi Traveling Salesmen Problem With Time
Windows: Comparison Of Heuristic Approaches
Haluk Yapicioglu, Assist. Prof. Dr., Anadolu University, Anadolu
Universitesi Yunusemre Kampusu, Proje Birimi Ogrenci Merkezi
Kat: 1, Eskisehir, 26470, Turkey,
The problem addressed in this study aims at minimizing number of university
representatives visiting exam locations by departing from a central location and
returning back. Visits to the exam locations must be done in specified time
windows. The problem is modeled as a multi-period traveling salesmen problem
with time window. Two stochastic optimization approaches based on simulated
annealing and robust taboo search are used. For this a new solution
representation is proposed. Finally, a method for obtaining travel distance and
travel time matrices from Google Distance Matrix API is developed. The results
obtained from a real case are discussed and future research directions are
provided.
5 - Optimal Routing Of Unmanned Aerial Vehicles In Wind Fields
Jimena A. Pascual, P. Universidad Católica de Valparaíso,
Valparaíso, Chile, Ricardo A. Gatica,
Andrea Leticia Arias, Andrea Leticia Arias, Kundu Abhishake,
Darío Canut De Bon, Timothy I Matis
The power consumption of an Unmanned Aerial Vehicle (UAV) to overcome
directional wind forces may be represented as a non-linear convex function of
airspeed. As a result, the optimal flight path between two targets may not be
Euclidean, and may have implications on the optimal sequencing of multiple
targets. In this presentation, we present research related solving shortest path and
traveling salesman type problems to determine the optimal flight path for UAVs,
and discuss how this might be extended to other classes of unmanned vehicles,
often referred to as UXVs.
TC72
Bass- Omni
Supply Chain Mgt XI
Contributed Session
Chair: Fang Fang, California State University, LA, 1250 S Alhambra
Circle, Apt 18, LA, CA, 33146, United States,
1 - Traceability And Supply Chain Design
John F Kros, Vincent K. McMahon Distinguished Professor,
East Carolina University, College of Business Dept of M&SCM,
3205 Harold Bate Building, Greenville, NC, 27858-4353,
United States, , James Zemanek, Jon Kirchoff
In light of recent issues, supply chain managers’ focus on product and service
traceability has increased. While research on how/where disruptions occur and
supply chain risk mitigation have taken center stage, the topic of traceability
across the supply chain has received little attention. This research seeks to
investigate the topic of traceability across the supply chain and what
policies/procedures supply chain managers have implemented to trace their
products/services within and across the supply chain.
TC72