Informs 2015

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INFORMS Philadelphia – 2015
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71-Room 202B, CC
Transportation Operations III
Contributed Session
Chair: Sara Saberi, PhD Candidate, University of Massachusetts
Amherst, Department of Operations and Information, Isenberg School
of Management, Amherst, MA, 01003, United States of America,
1 - Vehicle Routing for Urban Drainage Operations: A VRP with
Stochastic On-site Durations
Hamid Zaman, Graduate Student, University of Alberta, 9105 116
Street NW, Edmonton, AB, Canada,
Mohamed Al-hussein, Ahmed Bouferguene
Operational preventive maintenance of urban drainage network involves various
short-duration flushing/cleaning activities performed at selected locations across
the city, which results in large amount of travel. Moreover, the stochastic nature
of the on-site activity durations can lead to unused time at the end of work shifts.
This study thus formulates drainage operations scheduling as a combinatorial
optimization problem which minimizes the aforementioned travel and unused
times.
2 - Operational Flexibility in the Truckload Trucking Industry
Hossein Zolfagharinia, Wilfrid Laurier University, 125 Lincoln
Road, Waterloo, ON, N2J2N9, Canada, ,
Michael Haughton
Inspired by a real-life operating carrier, this study addresses a dynamic pickup and
delivery problem with full truckload (DPDPFL) for local operators. The main
purpose of this work is to investigate the impact of potential factors on the
carriers’ operational efficiency. These factors, which are usually under the
managerial influence, are diversion capability, re-optimization interval, and
advance load information (ALI).
3 - An Integrated Multi-Ship Crane Allocation in a Transshipment
Container Terminal
Nabil Nehme, Assistant Professor, Lebanese American University,
Byblos, Lebanon, Bacel Maddah,
Isam Kaysi
This research investigates the integration between the quay and yard sides for
multiple berthing ships with transshipment containers. An integer linear
programming model is formulated to minimize the total number of cranes used in
both quay and yard sides for all berthing ships unloading at the same time
horizon. The number of containers unloaded is determined for each crane used,
quay location and for the storage location of containers on the yard per berthing
ship.
4 - A Continuous Approximation Model for Logistic Distribution
System Delivered by Trucks and Drones
Li Yu Shan, PhD, Tsinghua University, Beijing Haidian Tsinghua
University, Shuenn-Der Building, 615 South, Beijing, 100084,
China,
This paper presents a continuous approximation model to evaluate cost of
Logistics distribution model. The problem is a realistic variant of vehicle routing
problem,in which expresses are delivered by trucks and drones. With Amazon’s
Prime Air UAVs project,many companies pay attention to deliver goods with
UAVs. Aim to evaluate economy of drones and build routing costs model with CA
method. Analyze parameters of model and provide some insights for managers
with ensuing decision-making reference.
5 - Supply Chain Network Competition in Price and Quality with
Multiple Manufacturers and Carriers
Sara Saberi, PhD Candidate, University of Massachusetts
Amherst, Department of Operations and Information, Isenberg
School of Management, Amherst, MA, 01003, United States of
America, Anna Nagurney, Shivani
Shukla,
Jonas Floden
We develop multitiered static and dynamic supply chain network models with
manufacturers and freight service providers (carrier) with multiple modes of
shipment competing on price and quality. They maximize their utilities while
considering the consequences of the competitors’ prices and quality levels. An
algorithm tracking the evolution of the strategic variables over time through
discrete-time adjustment is presented. The framework is illustrated numerically
and its practicality demonstrated.
WD72
72-Room 203A, CC
Image and Functional Data Analysis:
Methods and Applications
Sponsor: Quality, Statistics and Reliability
Sponsored Session
Chair: Kamran Paynabar, Georgia Institute of Technology,
755 Ferst Drive, Atlanta, GA, 30332, United States of America,
1 - Porosity Detection in Additive Manufacturing using Spatial
Statistical Model
Zhenyu Kong, Associate Professor, Virginia Tech University, 123
Durham Hall (MC 0118) 1145 Perry Str, Blacksburg, VA, 24061,
United States of America, , Jia (peter) Liu,
Prahalad Rao
In order to realize nondestructive quality monitoring for additive manufacturing
(AM), we propose a nonparametric spatial statistical model to monitor porosity in
AM products. We uses sliced images acquired by Micro CT to estimate the spatial
distribution of porosity by employing Dirichlet process model, which can
effectively the nonstationarity of the spatial distribution.
2 - Calibrating Functional Parameters in Computer Models,
A Case Study
Matthew Plumlee, University of Michigan, 1205 Beal Avenue,
Ann Arbor, MI, 48109, United States of America,
The output from a computational model depends on a set of parameters which
are unknown, but a modeler can estimate them by collecting physical data. In the
described study of the ion channels of ventricular myocytes, our parameter of
interest is a function as opposed to a scalar or a set of scalars. New methods are
devised to address this unique situation.
3 - A Degradation-based Prognostic Model using Image Data
Xiaolei Fang, Georgia Tech, 1546 Woodlake Dr. NE, Apt. F,
Atlanta, GA, 30329, United States of America,
Kamran Paynabar, Nagi Gebraeel
Due to the rapid development of sensing technology, it is possible to capture the
degradation process of engineering systems using sequential image data. In this
talk, we present a novel prognostic model utilizing degradation-based image data.
WD73
73-Room 203B, CC
Maintenance/Reliability Models
Sponsor: Quality, Statistics and Reliability
Sponsored Session
Chair: Kai He, University of Pittsburgh, 1048 Benedum Hall,
3700 O’Hara Street, Pittsburgh, PA, 15261, United States of America,
1 - Competitive and Cooperative Game-theoretic Models for
Usage-based Lease Contracts
Maryam Hamidi, PhD Candidate, University of Arizona, 1127 E.
James E. Rogers Way, Room 111, P.O. Box 210020, Tucson, AZ,
85721, United States of America,
Haitao Liao
We develop competitive and cooperative game-theoretic models for lease
contracts based on Nash equilibrium and total maximum profit, respectively.
Under the contracts, the owner (lessor) rents an equipment which deteriorates
with both age and usage to a user (lessee). The lessee determines the optimal
lease period and usage rate, and the lessor develops a preventive maintenance
policy. Our results illustrate that cooperation can significantly increase the profit,
under certain conditions.
2 - On The Benefits of Condition-based Maintenance over
Time-based Maintenance
Bram De Jonge, University of Groningen, P.O. Box 800, 9700 AV,
Groningen, Netherlands, , Ruud Teunter,
Tiedo Tinga
Developments in condition monitoring technology have lead to an ongoing shift
from time-based maintenance (TBM) to condition-based maintenance (CBM).
Although CBM allows for more effectively planned maintenance, its performance
strongly depends on the behavior of the deterioration process, severity of failures,
required setup time, accuracy of the condition measurements, and amount of
randomness in the failure level. This study points out how the relative benefit of
CBM depends on these factors.
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