Informs 2015

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INFORMS Philadelphia – 2015
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2 - Characteristics of Consulting Firms and Their Challenges
Co-producing with their Clients
Matthew Walsman, Student, Cornell University, 455 Statler Hall,
Ithaca, United States of America,
Rohit Verma, Michael Lewis, Alistair Brandon-jones
Using mixed methods (best-worst survey-based study supported by qualitative
interviews) we uncover characteristics of consulting firms and their managerial
challenges that are often different than those suggested by traditional frameworks
of Professional Service Firms. We extend this with an experiment designed to test
some of our initial findings regarding consultant’s primary function as advisers or
those tasked with making decisions for (or giving recommendations to) others.
3 - A Comparative Analysis of Technology Usage and Utility Between
Experts and Customers in Hospitality
Min Kyung Lee, Clemson University, 100 Sirrine Hall,
Box 341305, Clemson, SC, 29634, United States of America,
Aleda Roth, Rohit Verma
With great development in social media and peer-to-peer markets, sharing
economy has emerged as alternative suppliers of services. Sharing economy has
taken a power away from experts and focused more on peer-to-peer feedback.
This empirical study analyzes the usage and utility of technology innovations
between experts and customers.
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53-Room 107B, CC
2015 INFORMS BOM Section Best Working
Paper Awards
Sponsor: Behavioral Operations Management
Sponsored Session
Chair: Karen Zheng, MIT, 77 Massachusetts Avenue, Cambridge, MA,
02139, United States of America,
1 - 2015 INFORMS Behavioral Operations Management Section
Best Working Paper Awards
Karen Zheng, MIT, 77 Massachusetts Avenue, Cambridge, MA,
02139, United States of America,
This session is reserved for the finalists of the 2015 INFORMS Behavioral
Operations Management Section Best Working Paper Awards. The finalists will
present their papers. The committee will announce and honor the first place, the
second place, and the honorable mention(s) at the end of the session.
SD54
54-Room 108A, CC
Robust Optimization, Risk Ambiguity
Cluster: Tutorials
Invited Session
Chair: Dan Iancu, Assistant Professor, Stanford University, 655 Knight
Way, Stanford, CA, 94305, United States of America,
1 - Tutorial: Robust Multi-Stage Decision Making
Erick Delage, HEC Montreal, Canada,
Dan Iancu
Testifying to more than ten years of academic and practical developments, this
tutorial attempts to provide a succinct yet unified view of the robust multi-stage
decision making framework. In particular, the reader should better understand:
(1) the distinction between static versus fully or partially adjustable decisions, (2)
the root of tractability issues, (3) the connection to robust dynamic programming,
(4) some motivation for using simple decision rules, especially in terms of
optimality, (5) how time consistency issues can arise and (6) some relevant
applications.
SD55
55-Room 108B, CC
Analysis of Infrastructure using DEA
Cluster: Data Envelopment Analysis
Invited Session
Chair: Hyojung Kang, Postdoctoral Associate, Pennsylvania State
University, 310 Leonhard Building, University Park, PA, 16801,
United States of America,
1 - Highway Safety Performance Evaluation of Commercial
Transportation using Data Envelopment Analysis
Yaote Tsai, Auburn University, 3332 Shelby Center, Auburn
University, Auburn, AL, 36832, United States of America,
Stephen Startz, Fadel Megahed
Transportation safety has been one of the most important issues discussed in
recent years. An effective method to measure and improve the current safety
performance is needed to decrease the total number of incidents and costs of job-
related injuries. The proposed methodology uses Data Envelopment Analysis
(DEA) for benchmarking the safety performance. The results of this research are
to provide an objective safety performance and improvement recommendations
for commercial transportation.
2 - Airport Site Selection using Analytical Hierarchy Process and Data
Envelopment Analysis
Gulsah Hancerliogullari, Istanbul Bilgi University, Eski Silahtaraga
Elektrik Santrali Kazim, Karabekir Cad. No: 2/13 34060 Eyöp,
Istanbul, 34060, Turkey, ,
Emrah Koksalmis
The aim of a site-selection problem is to find the optimum location that satisfies a
number of predetermined selection factors. The identification of alternative sites,
assessment criteria and priorities for the construction of a new airport is a
complex task that requires the cooperation of multiple stakeholders. This study
deals with the problem of finding the optimum location for an airport to serve in
Turkey, using the methods of analytical hierarchy process and data envelopment
analysis.
3 - Assessing Efficiency and Quality of Emergency Departments
using Data Envelopment Analysis
Hyojung Kang, Postdoctoral Associate, Pennsylvania State
University, 310 Leonhard Building, University Park, PA, 16801,
United States of America, , Nathaniel Bastian,
Harriet Nembhard
Emergency departments (EDs) seek ways to improve quality while achieving
operational efficiency. However, it is not clear if EDs have mutually satisfied these
objectives. Using data envelopment analysis, this study investigates the
relationship between efficiency and quality of EDs in the U.S. The results provide
insights into resource management in the EDs.
SD56
56-Room 109A, CC
Location Models
Sponsor: Location Analysis
Sponsored Session
Chair: Oded Berman, Univesity of Toronto, 105 St. George Street,
Toronto, M5S 3E6, Canada,
1 - New Product Network Design: Facility Location and Capacity
Decisions under Uncertainty
Mozart Menezes, Associate Professor, Kedge Business School-
Bordeaux, 680 Cours de la Libération, Bordeaux, 33405, France,
, Kai Luo, Oihab Allal-Cherif
We attempt to shed light on the effect of stochastic demand on the location and
capacity of production facilities. The framework is that of a traditional
Newsvendor problem where decisions will generate expected under- and over-
capacity costs, which are function of both unitary cost of acquiring capacity and
transportation cost (function of facility location). In this work the ‘critical fractile’
is not uniform across facilities.
SD56