Informs Annual Meeting 2017

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INFORMS Houston – 2017

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2 - Resilience Assessment in Sports Marcela Gomez, USF, Tampa, FL, United States, marcelag1@mail.usf.edu, Daniel Hernando Romero

332A Information and On-Demand Services Sponsored: Manufacturing & Service Oper Mgmt,

In sports, operational resilience is defined as the ability of a team or player to overcome difficulties and comeback from a adverse result to be able to draw or win a game. Resilience metrics are proposed and evaluated in soccer and other sports. Our model will enable to decision makers to make online decisions while the team or player is in disadvantage. 3 - Analysis of College Football Wins and Their Effect on School Athletics Revenue Mikhail Gordon, University of Pittsburgh, 241 Mervis Hall, Pittsburgh, PA, 15260, United States, m.gordon@pitt.edu The use of hierarchical linear regression leads to information linking the revenue of an NCAA school to the number of wins of that school’s football team. This analysis includes differences between divisions and conferences in which the schools lie. 332C Decision Support Systems Contributed Session Chair: Lin Guo, University of Oklahoma, Norman, OK, United States, lin.guo@ou.edu 1 - Developing Robust Strategic Partnership Portfolios in the Retail Industry using a Multi-stage Knapsack Model Stanislaus Solomon, Assistant Professor of Supply Chain Management, Sam Houston State University, 1821 Avenue I, 236S.Smith Hutson Building, Huntsville, TX, 77341, United States, solomon@shsu.edu, Esha Christie, Jason Riley The selection and development of suppliers in the retail industry is critical to supply chain robustness and profitability. This research focuses on the implementation of a multi-stage knapsack model that considers conflicting objectives and provides decision support on the appropriate strategic partnership portfolios to develop, based on the decision maker’s criteria. Experimental results from a case study will be presented. 2 - Stochastic Modeling for Biofuel Supply Chains This research is proposing a formal methodology for decision-making for a renewable supply chain, based on deterministic and stochastic optimization models. This methodology takes into account the forecast of available technology for vehicles using probabilistic scenarios to represent the biofuel regulations. The decision support system allows the planner to determine which and where the bio-refineries have to be opened, the amount and period of time of raw material to be sown depending on their life cycle, production plans, optimal flows of products and inventory. The methodology became a decision tool for strategic and tactical levels in a supply chain. 3 - A Systems Thinking Approach for Waste Management in University Campuses Misagh Faezipour, Assistant Professor, Middle Tennessee State University, 1500 Greenland Drive, Engineering Technology, Box 19, Murfreesboro, TN, 37132, United States, Misagh.Faezipour@mtsu.edu United States is among the top leading trash generators in the world and accounts for more than 30% of the waste worldwide. The threat of waste will cause enormous social, economic, environmental, health, and safety consequences. Universities produce large amounts of trash each year. This paper explores the application of system dynamics modeling in universities to better manage waste. 4 - Exploration of the Solution Space of Compromise Decision Support Problems with a Large Number of Goals Lin Guo, University of Oklahoma, Norman, OK, United States, lin.guo@ou.edu, Warren Smith, Janet Katherine Allen, Farrokh Mistree In this paper, we propose an approach for exploration of the solution space of a compromise Decision Support Problems model with ten goals. Since the complexity of exploration of the solution space grows steadily with the increasing of the number of goals, we approximate the problem by using Principal Components Analysis to identify the main goals that represent more than eighty percent of the design preferences; and then we convert the other goals into constraints. In this way, we can reduce the dimension of the problem and save the exploration time while maintain our design space in a satisficing level. An example of supply chain design is used to show the advantage of this approach. WB13 Edgar Gutierrez-Franco, University of Central Florida, 12104 Napiers Circle, Orlando, FL, 32826, United States, edgargutierrezfranco@gmail.com, Qipeng Phil Zheng, Alfonso Sarmiento, Luis Rabelo

Service Operations Sponsored Session Chair: Luyi Yang, University of Chicago, Chicago, IL, 60615, United States, lyang6@chicagobooth.edu 1 - The Impact of Bilateral Rating System on Online to Offline Platforms Chen Jin, University of Pennsylvania, 3730 Walnut Street, 500 Jon M. Huntsman Hall, Philadelphia, PA, 19104, United States, jinchen1@wharton.upenn.edu, Kartik Hosanagar, Senthil Veeraraghavan Platforms like Uber and Lyft adopt a bilateral rating system (BRS) that allows service providers to rate customers and to make accepting/rejecting decisions based on the customers’ rating much the same way as the privilege enjoyed by customers exclusively in the traditional on-line platforms, e.g., eBay and Amazon that implement a unilateral rating system (URS). This novel feature of the rating system changes fundamentally the service providers’ effort structure and also affects the pricing strategy of the platform. With a stylized model, we compare URS and BRS in the context of ride-sharing service to study their impact on the decisions as well as revenue/welfare of all stakeholders. 2 - Efficient Inaccuracy: Information Sharing in a Queue Jianfu Wang, Nanyang Business School, Nanyang Technological University, Block S3-B2C-85, 50 Nanyang Avenue, Singapore, 639798, Singapore, wangjf@ntu.edu.sg, Ming Hu Shared congestion information takes the form of a snapshot of the service system with a time stamp. Future customers can access the information shared by previous customers. We focus on the equilibrium behavior of customers with shared, lagged queue length information to address the following research question: How does this shared information structure affect the throughput and social welfare compared with the full and no information structures? 3 - Queues with Redundancy: Is Waiting in Multiple Lines Fair? In a service system, a redundant customer is one who may join multiple queues simultaneously and is “served” when any one of her copies completes service; systems with redundant customers range from supermarkets with multiple checkout lines to multiple listing for organ transplants. We study the performance of two queues serving two classes of customers, one of which is redundant. We show that non-redundant customers forming independent Poisson streams to each queue prefer that the other class be redundant as opposed to non- redundantly joining the shortest queue if the queues are symmetric (i.e., in this case redundancy is fair); however, this may not hold if the queues have different loads. 4 - “Your Order has Been Picked Up and Will Arrive Shortly”: Innovation in Service Delivery Andrew E. Frazelle, Duke University-Fuqua School of Business, Leela Aarthy Nageswaran, Tepper School of Business, 5000 Forbes Avenue, Pittsburgh, PA, 15213, United States, lnageswa@andrew.cmu.edu, Alan Scheller-Wolf

540 South LaSalle Street, #4340, Durham, NC, 27705, United States, andrew.frazelle@duke.edu, Pnina Feldman, Robert Swinney

On demand delivery has been one of the hottest VC sectors in recent years. However, while service providers benefit from gaining access to uncharted demand for delivery, without the ability to increase capacity, their revenue from walk-in customers may be harmed. We examine conditions under which on demand delivery platforms benefits consumers and the firm.

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332B Sports and Entertainment Contributed Session Chair: Mikhail Gordon, University of Pittsburgh, Pittsburgh, PA, United States, m.gordon@pitt.edu 1 - Human Machine Interface using Axiomatic Design Industrial Case of Drone Tracker Rhythm Wadhwa, NTNU, Teknologiveien 22, Gjoevik, 2821, Norway, rhythmwadhwa@hotmail.com The paper presents a novel application of axiomatic design in combination with AHP process used in early product development of a drone human machine interface for sports applications. The product is intended and was field tested for professional downhill skiiers and skateboarders. Axiomatic design was used for decoupling the design parameters associated with the functional requirements.

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