Informs 2015

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INFORMS Philadelphia – 2015
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4 - Optimizing Space Utilization in Block Stacking Warehouses
Shahab Derhami, PhD Student, Auburn University, 3301 Shelby
Center, Auburn University, Auburn, Al, 36849, United States of
America, Kevin R. Gue, Jeffrey S. Smith
Block stacking storage systems are unit load storage systems which are widely
used in manufacturing facilities. However, determining the optimal lane depth in
this storage system under the finite production rate constraint has not been
adequately addressed in the literature. In this research, we propose mathematical
models to obtain the optimal lane depth for a single and multiple SKUs where the
pallet production rates are finite.
MC70
70-Room 202A, CC
International Rail Freight
Sponsor: Railway Applications
Sponsored Session
Chair: Steven Harrod, Associate Professor, Technical University of
Denmark, Building 116B, Niels Koppels Allé, Kgs. Lyngby, 2800,
Denmark,
1 - Growth Potential for Rail Freight in Short Distance Markets
Steven Harrod, Associate Professor, Technical University of
Denmark, Building 116B, Niels Koppels Allé, Kgs. Lyngby, 2800,
Denmark, Matthias Schett
The Scandinavian countries have traditionally been maritime economies,
dependent on sea shipping. Recent bridge and tunnel links now connect
Scandinavia to the European continent, but a large volume of freight still moves
by sea. This presentation discusses the successful short distance intermodal
shuttles operating in Scandinavia, and their potential for expansion. Examples
from Sweden and Denmark are presented.
2 - Freight Operations from a North American Perspective
Marc Meketon, Oliver Wyman, 1 University Square,
Princeton, NJ, 08540, United States of America,
Carl Van Dyke
Freight operations in Europe differ in many respects to those in North America
for reasons including regulatory, physical differences, IT systems (especially
wagon ordering systems) and interactions with passenger trains. This talk will
describe freight operations in several European countries, and also contrast them
to North American operations.
3 - An Integrated Model for Locomotive Routing and Fueling
Facility Locating
Gongyuan Lu, Southwest Jiaotong University, 111 Erhuan Road,
Bei yi Duan, Chengdu, China, ,
Xuesong Zhou
In this presentation, we will present a 3-dimensional time-space network which
adds the resource dimension to the traditional TS network. Via this method, the
problem formulation can be simplified tremendously. Meanwhile, the Lagrangian
relaxation associated with Dynamic Programming is applied to solve this model
efficiently.
MC71
71-Room 202B, CC
Shared Mobility Analysis and Optimization
Sponsor: TSL/Urban Transportation
Sponsored Session
Chair: Wei Lu, Texas A&M University, CE/TTI Building, Room 601-D,
3136 TAMU, College Station, TX, 77843-3136, United States of
America,
1 - Optimizing Ridesharing Services
Wei Lu, Texas A&M University, CE/TTI Building, Room 601-D,
3136 TAMU, College Station, TX, 77843-3136, United States of
America, Luca Quadrifoglio
Ridesharing services, which aim to bring together travelers with similar
itineraries, may provide substantial societal and environmental benefits. We study
the most generalized setting of ridesharing problems – given a set of travelers and
their origins/destinations, we aim to simultaneously make optimal decisions on
driver/rider role assignment, customer partition and route planning, with the goal
of minimizing/maximizing the system-wide total vehicle-miles/ridesharing value.
2 - Ride-Matching Problem in Peer-to-Peer Multi-Hop Ridesharing
Systems with Stochastic Demand
Neda Masoud, University of California, Irvine, CA,
United States of America, R. Jayakrishnan
We propose a stochastic program with recourse to formulate the peer-to-peer
multi-hop ride-matching problem with stochastic demand. We propose an
algorithm to efficiently generate a set of scenarios that can be used to formulate
and solve the IP equivalence of the stochastic program, and solve it using an L-
shaped algorithm.
MC72
72-Room 203A, CC
Panel Discussion on “Publishing in Quality and
Reliability: The Editorís Perspective”
Sponsor: Quality, Statistics and Reliability
Sponsored Session
Chair: Hui Yang, Associate Professor, Pennsylvania State University, 310
Leonhard Building, Industrial and Manufacturing Eng., State College,
PA, 16801, United States of America,
1 - Panel Discussion on ìPublishing in Quality and Reliability:
The Editor’s Perspectiveî
Moderator:Hui Yang, Associate Professor, Pennsylvania State
University, 310 Leonhard Building, Industrial and Manufacturing
Eng., State College, PA, 16801, United States of America,
Panelists: Trevor Craney, Jianjun Shi,
Douglas Montgomery, Peihua Qiu, Peter Parker, Fugee Tsung
This panel brings journal editors to share their perspectives and experiences with
the audience and answer questions pertaining to publication in Quality,
Reliability and Data Sciences. Panelists are: Dr. Jianjun Shi,IIE Transactions;Dr.
Fugee Tsung, Journal of Quality Technology;Dr. Peihua Qiu, Technometrics; Dr.
Douglas Montgomery, Quality and Reliability International; Dr. Peter Parker,
Quality Engineering.
MC73
73-Room 203B, CC
Modeling and Analysis of Data with Quantitative and
Qualitative Variables
Sponsor: Quality, Statistics and Reliability
Sponsored Session
Chair: Xinwei Deng, Assistant Professor, Department of Statistics,
Virginia Tech, 211 Hutcheson Hall, Blacksburg, VA, United States of
America,
Co-Chair: Ran Jin, Virginia Tech., Grado Department of Industrial and,
Systems Engineering, Blacksburg, VA, 24061, United States of America,
1 - Bayesian Hierarchical Models for Quantitative and
Qualitative Responses
Lulu Kang, Assistant Professor, Illinois Institute of Technology,
10 W 32nd Street, E1-208, Chicago, IL, 60615,
United States of America, , Xinwei Deng
In many engineering systems both quantitative and qualitative output
measurements are collected. If modeled separately, the important relationship
between the two type of responses is ignored. In this paper we propose a
Bayesian hierarchical modeling framework to jointly model a continuous and a
binary response. Both simulation and real case studies are shown to illustrate the
proposed method.
2 - A Latent Process Approach to Modeling and Analysis of
Mixed-type Observations
Shuyu Chu, Virginia Tech, 1210 University City Blvd, J113,
Blacksburg, VA, 24060, United States of America, ,
Xinwei Deng
In many applications, mixed-type observations are commonly present. To analyze
the data with mixed-type observations, one key challenge is to quantify the
hidden association among them. In this work, we proposed a latent process
approach to jointly modeling the mixed observations. The proposed method
adopts the combined Discrete Particle Filter and Sequential Monte Carlo
algorithm for parameter estimation and Bayesian inference.
MC73