2016 INFORMS Annual Meeting Program

SB55

INFORMS Nashville – 2016

SB52

3 - Team Leadership And Performance: Combining The Roles Of Direction And Participation Morvarid Rahmani, Georgia Institute of Technology, 800 West Peachtree Street, NW, Atlanta, GA, 30308-1149, United States, morvarid.rahmani@scheller.gatech.edu, Uday Karmarkar, Guillaume Roels One of the challenges that project team leaders face is how to combine their roles as individual contributors and managers. In this paper, we propose a model of team leadership and study how a contributor leader should adjust her managing effort over time and with respect to the project characteristics (e.g., team members’ incentives and team size). 4 - Sole Inventor Vs Team Of Inventors: What’s Best? Tian Chan, Emory University, Atlanta, GA, United States, tianheong.chan@insead.edu, Jurgen Mihm, Manuel Sosa Should a team of inventors outperform individual inventors in creating groundbreaking innovations? The empirical evidence that examines into scientific papers and technology patents (representing millions of inventive work) suggests that the answer is an unqualified “yes”. However, in this work we use design patent data to show that “teams are better than individuals” is not true in the context of design innovation. While so, we find that collaboration yields future dividends—designers who has collaborated extensively in the past but currently operates alone outperforms either teams or sole designers. We discuss the implications of our results in the organization of innovative work. Chair: Paul Maglio, University of California, Merced, School of Engineering, Merced, CA, 95343, United States, pmaglio@ucmerced.edu In this session, the editors of INFORMS Service Science will discuss the mission and state of the journal and answer questions. SB55 Music Row 3- Omni Modeling and Optimization for Renewable Energy Integration Sponsored: Service Science Sponsored Session Chair: Jian Guo, Western New England University, Western New England University, Springfield, MA, 01119, United States, jian.guo@wne.edu Co-Chair: Zhaojun Li, Western New England University, Western New England University, Springfield, MA, United States, zhaojun.li@wne.edu 1 - Impact Of Future Wind Power Scenarios On The Distributionally Robust Operation And Cost Of Reserves Bita Analui, Post Doctoral Scholar, Ira A. Fulton Schools of Engineering, Arizona State University, Tempe, AZ, 85287-9309, United States, Bita.Analui@asu.edu, Anna Scaglione The increasing share of renewable energy and its intermittency have led to new challenges in modeling and optimization of power system operations. In this work, we present the distributionally robust extension of multistage stochastic optimization of reserves operations under stochastic wind power generation. In this setting, the reference probability model is a scenario tree based on the direct quantization of wind power trajectories. Constructing the alternative scenario trees in the epsilon-neighborhood of the reference tree forms the ambiguity set P, wherein an iterative algorithm determines the minimax solution and identifies the worst case probability model. 2 - The Quest For Zero-carbon Supply Chain: An Onsite Generation Approach Tongdan Jin, Texas State University, tj17@txstate.edu Is it feasible to deploy a zero emission production-logistics system using intermittent renewable energy? If so, how to design such eco-friendly supply chain system in a distributed generation environment? In this talk we present a wind- and solar-based onsite generation system to achieve carbon-neutral performance for a multi-facility production-distribution network with affordable cost. SB54 Music Row 2- Omni Meet the Editors of Service Science Sponsored: Service Science Sponsored Session

214-MCC Proactive Planning Against Weather Events Sponsored: Public Sector OR Sponsored Session

Chair: Ozlem Ergun, Northeastern University, 453 Meserve, 360 Huntington Avenue, Boston, MD, 02115, United States, o.ergun@neu.edu Co-Chair: Mahsa Ghanbarpour Mamaghani, Northeastern University, 360 Huntington Avenue, Boston, MA, 02115, United States, ghanbarpourmamagh.m@husky.neu.edu 1 - A Forecast Driven Model For Prepositioning Supplies In Preparation For A Hurricane Gina Galindo, University of Del Norte, ggalindo@uninorte.edu.co Rajan Batta We present a forecast-driven dynamic model for prepositioning relief items in preparation for a foreseen hurricane. The decisions in our model are based on real-time updated information from periodic forecast advisories issued by the National Hurricane Center (NHC). Our approach, which combines Decision Theory and stochastic programming, determines the time to start prepositioning, and the units to be prepositioned at each selected supply point. It also accounts for the possible re-positioning of already prepositioned supplies. Our results show that our model outperforms the alternative wait-and-see approach. 2 - Modeling Proactive Surgery Cancellation With Weather Forecast Updates Mahsa Ghanbarpour Mamaghani, Northeastern University, Boston, MA, 02148-8208, United States, ghanbarpourmamagh.m@husky.neu.edu, Ozlem Ergun Severe weather such as hurricanes and snowstorms can dramatically disrupt the delivery of many essential services within a community, including healthcare services. This research introduces proactive surgeries cancellation planning due to snowstorms with considering weather forecast updates. Since the snowstorms can be predicted more accurate in the last steps of planning horizon the problem is formulated as an evaluation of the tradeoff between more accurate forecasts and cost of late cancellations for determining optimal surgeries cancellation. Emerging Trends in Business Innovation Sponsored: Technology, Innovation Management & Entrepreneurship Sponsored Session Chair: Fangyun Tan, Southern Methodist University, 6212 Bishop Blvd, Dallas, TX, 75275, United States, ttan@cox.smu.edu 1 - Impact Of Tabletop Technology On Restaurant Performance Fangyun Tan, Southern Methodist University, ttan@cox.smu.edu, Serguei Netessine We analyze a large data set of transactions in a casual restaurant chain to understand the effect of implementing a tabletop technology on service performance (measured in sales and meal duration). We find the technology directly increases sales and significant reduces the meal duration. We provide insights on how to manage technology in restaurant operations. 2 - The Role Of Surge Pricing On A Service Platform With Self-scheduling Capacity Kaitlin Daniels, Assistant Professor, Olin Business School, Washington University in St. Louis, St Louis, MO, United States, k.daniels@wustl.edu Platforms like Uber use dynamic pricing policies to manage a workforce of “self- scheduling” providers who decide for themselves how often to work. We show that the optimal dynamic pricing policy substantially increases the platform’s profit relative to contracts with a fixed price or fixed wage (or both) and although surge pricing (which pays providers a fixed percentage of a dynamic price) is not optimal, it generally achieves near optimal profit. Furthermore, we find that providers and consumers are generally better off with surge pricing because providers are better utilized and consumers benefit both from lower prices during normal demand and expanded access to service during peak demand. SB53 Music Row 1- Omni

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