2015 Informs Annual Meeting

SD56

INFORMS Philadelphia – 2015

SD55 55-Room 108B, CC Analysis of Infrastructure using DEA Cluster: Data Envelopment Analysis Invited Session

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, mcw237@cornell.edu, 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, minl@g.clemson.edu, 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. SD53 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, yanchong@mit.edu 1 - 2015 INFORMS Behavioral Operations Management Section Best Working Paper Awards Karen Zheng, MIT, 77 Massachusetts Avenue, Cambridge, MA, 02139, United States of America, yanchong@mit.edu 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. Cluster: Tutorials Invited Session Chair: Dan Iancu, Assistant Professor, Stanford University, 655 Knight Way, Stanford, CA, 94305, United States of America, daniancu@stanford.edu 1 - Tutorial: Robust Multi-Stage Decision Making Erick Delage, HEC Montreal, Canada, erick.delage@hec.ca, 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. SD54 54-Room 108A, CC Robust Optimization, Risk Ambiguity

Chair: Hyojung Kang, Postdoctoral Associate, Pennsylvania State University, 310 Leonhard Building, University Park, PA, 16801, United States of America, hqk5116@psu.edu 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, yzt0007@auburn.edu, 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, gulsah.hancerli@bilgi.edu.tr, 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, hqk5116@psu.edu, 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, Berman@rotman.utoronto.ca 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, mozart.menezes@me.com, 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.

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