Informs 2015

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INFORMS Philadelphia – 2015
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49-Room 105B, CC
Facility Location II
Contributed Session
Chair: Utku Kunter, Research Assistant, Middle East Technical
University, ODTU Kampusu Endustri Muhendisligi Bolum, Oda 325
Cankaya, Ankara, 06801, Turkey,
1 - Identifying Stadium Locations for the Qatar 2022 Fifa World Cup
Agha Iqbal Ali, Professor And Chairman, University of
Massachusetts-Amherst, Isenberg School of Management,
121 Presidents Dr., Amherst, MA, United States of America,
, Ahmed Ghoniem
The number of venues for the twenty FIFA World Cups since 1930 has ranged
from 3 to 20 and the number of participating teams has grown from 13 to 32. Due
to the compactness of Qatar, the logistical impacts of different numbers and
locations of venues can be significant for the Qatar 2022 FIFA World Cup. These
impacts are studied in a scenario analysis using mathematical programming.
2 - Modeling Transportation Cost Uncertainty in City
Logistics Systems
Utku Kunter, Research Assistant, Middle East Technical
University, ODTU Kampusu Endustri Muhendisligi Bolum,
Oda 325 Cankaya, Ankara, 06801, Turkey, ,
Cem Iyigun, Haldun Sural
City Logistics (CL) deals with freight transportation in urban areas. We consider
the fixed charge facility location problem under transportation cost uncertainty in
a CL setting. The optimization problem has been framed as a two-stage stochastic
MIP. Locations are chosen in the first stage; capacity allocations are made in the
second. We propose an evolutionary solution algorithm with local search. The
algorithm performs well when compared with exact solution methods in the
literature.
3 - Optimizing Hospital Closures
H A Eiselt, University of New Brunswick, Fredericton, NB,
Canada, Joyendu Bhadury, Mark L. Burkey,
Hunkar Toyoglu
We examine the effects of hospital closures on some major indicators concerning
service level, including the average access time and the proportion of potential
patients who are able to access a health care facility within 30 minutes driving
time. Results of extensive computations are provided and discussed.
WE50
50-Room 106A, CC
Empirical Studies in Supply Chain Risk Management
Sponsor: Manufacturing & Service Operations Management
Sponsored Session
Chair: Jun Li, Assistant Professor, Ross School of Business, University of
Michigan, 701 Tappan St, Ann Arbor, 48103, United States of America,
1 - Supply Chain Network Structure and Firm Returns
Wu Jing, University of Chicago Booth School of Business, 5050 S
Lake Shore Dr 3417S, Chicago, IL, United States of America,
, John Birge
Using data on the relationships of public US firms, we investigate the effects of
supply chain connections on firm performance, as reflected in stock returns, at
two interaction levels, first-order from direct connections and second-order from
systemic exposures through the network.
2 - An Empirical Model of Inventory Rationing Game
Robert Bray, Northwestern University, Evanston, IL,
United States of America, Oliver Yao,
Achal Bassamboo
We study inventory rationing in a one-DC, 80-retailer supply chain. We model
the stores’ inventory policies as a dynamic discreet choice game. We estimate
whether the stores increase or decrease their order quantities when the threat of
DC stock out increases. Increasing order quantities indicate inventory gaming—-
stores squabbling over upstream inventories—-whereas decreasing order
quantities indicate supply chain coordination—-stores preserving upstream
inventories for those most in need.
3 - A Structural Estimation of the Bullwhip Effect using Supply
Network Data
Vishal Gaur, Cornell University, 321 Sage Hall, Ithaca, NY, 14850,
United States of America, ,
Maximiliano Udenio, Jan Fransoo
We estimate a two-stage structural model of inventory decisions using financial
data for 6,040 unique supplier-customer dyads for the years 1984-2013 to
investigate downstream inventory adjustments and their influence on upstream
firms. Our results show that inventory cost ratios are dynamic, and a significant
cause of the bullwhip effect in supply chains.
WE51
51-Room 106B, CC
Facilities Planning and Design
Contributed Session
Chair: Begün Efeoglu, Research Assistant, Middle East Technical
University, ODTÜ Kampüsü Endüstri Mühendisligi, Oda 324 Çankaya,
Ankara, 06800, Turkey,
1 - A Markov Decision Process Model for the Dynamic Block
Stacking Problem
Hueon Lee, PhD Student, University of Arkansas, Dept. of IE,
4207 Bell Engineering Center, 1 University of Arkansas,
Fayetteville, AR, 72701, United States of America,
, John A. White, Shengfan Zhang
The block stacking problem involves determining the depth of a storage row for
unit loads that minimizes the sum of space and travel cost. A conventional block
stacking problem assumes static row depths and deterministic demand. We allow
row depths to change (by relocating product) and demand to be random. The
problem is formulated as a Markov decision process and the optimal lane depth is
determined for each inventory level. Results obtained provide useful insights for
designers.
2 - A Heuristic Method for Storage Location Assignment Problem for
a Distribution Center
Zeynep Turgay, Solution Architect, Migros IT, Atasehir, Istanbul,
34758, Turkey, , Necati Aras
Storage location assignment of products is an important research topic in
warehouse design. We solve storage location assignment problem for a
distribution center providing day-to-day service for a retail chain. Ordered items
and quantities are random. Order pickers collect the products ordered by the
stores from their addresses and deliver to the order shipment area. The objective
is to optimize the total effort spent by the order pickers in terms of the total
traveling distance.
3 - Impact of Demand Stochasticity on Distributed Layouts
Begön Efeoglu, Research Assistant, Middle East Technical
University, ODTÜ Kampüsü Endüstri Mühendisligi, Oda 324
Çankaya, Ankara, 06800, Turkey,
Haldun Sural, Melih Celik
The facility layout problem is to assign departments to locations. Recent studies
show that functional layout configurations do not meet the needs of multiproduct
enterprises. We investigate the effect of the stochastic demand and the relayout
cost on the choice of a layout type in a dynamic environment. Using a two-stage
stochastic integer programming, we simulate its results in order to study system
trade-off and present our experimental results.
WE52
52-Room 107A, CC
Productivity and Competitiveness
Contributed Session
Chair: Misuk Lee, Assistant Professor, Salisbury University, Perdue
School of Business, Salisbury, MD, 21804, United States of America,
1 - Two Sides of the Same Coin: A Meta-analysis of Cohesion in
Organizational Contexts
Angelo Solarino, City Univeristy of Hong Kong, Chee Avenue,
Kowloon, Hong Kong, Hong Kong - PRC,
Frederik Von Briel
Cohesion is one of the most important determinants of group performance; it is
reflected through a socio-emotional (i.e., group members’ liking for one another)
and a task-oriented (i.e., group members’ shared task commitment) dimension.
Exclusively focusing on organizational contexts we conduct a meta-analyses of
the cohesion-performance relationship to clarify the effect of individual
dimensions, thereby identifying group type and country as contingencies that
moderate the relationship.
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