Informs Annual Meeting Phoenix 2018

INFORMS Phoenix – 2018

SB27

nod their heads to the idea that a dollar today is not worth the same tomorrow. They also will nod to the fact that a loaf of bread costs more today than it did yesterday. It does not actually register, however, until they see it evolve year by year over an extended period of time. Advanced Excel functions that may be used include FV, PV, PMT, NORMINV, VLOOKUP, Scenario Manager, Data Table, and Goal Seek. 2- Supply Chain Coordination and Contracts in the Sharing EconomyùA Case Study at Cargo Maxime Cohen, NYU Stern, New York, NY, 10012, United States, Daniel Guetta, Wenqiang Xiao This case study presents a modern approach to supply chain contracts. Supply chain coordination and supply chain contracts are central parts of almost every operations management (OM) core course. Traditionally, the main motivational example used in this context is video rentals. In the late 1990s, Blockbuster LLC revamped their business model and successfully implemented supply chain contracts. This is indeed an excellent example, but it is becoming increasingly outdated, and the vast majority of millennial students find it difficult to relate to this application. With this motivation in mind, we decided to revisit the topics of supply chain coordination and supply chain contracts in the context of the sharing economy. This case study is written in collaboration with Cargo, an innovative startup that recently raised $7.3 million in seed funding, and illustrates how supply chain contracts can be applied in two-sided markets. Cargo sources goods from suppliers to provide a platform for gig economy drivers (e.g., Uber and Lyft) to run small convenience stores out of their vehicles. Consequently, Cargo needs to optimize its supply chain with both its drivers and its suppliers. Inspired by Cargo’s operations, we generate datasets that illustrate the benefits of supply chain coordination and contracts, and allow students to experience the use of these techniques in a real-world business problem. This case study can be used at the undergraduate, MBA, and graduate levels for 1-3 sessions. In particular, instructors of an OM core or a supply chain elective course could use this case to discuss the following topics: (i) a novel OM application in the sharing economy, (ii) supply chain centralization, (iii) supply chain contracts (wholesale price, revenue sharing, and buyback), and (iv) the benefits of data-driven demand forecasting. Joint Session RAS/Practice Curated: Railway Applications Section Student Paper Competition Sponsored: Railway Applications Sponsored Session Chair: Steven Harrod, Technical University of Denmark, Kgs. Lyngby, 2800, Denmark 1 - Railway Applications Section Student Paper Competition Steven Harrod Awards for the 2018 Railway Applications Section Student Paper Competitions will be presented, along with presentations by the finalists. Winners are announced at the conference, or a few weeks before at the earliest. n SB29 North Bldg 221B Business Models and Policies for Alternative Fuel Vehicle Deployment Sponsored: TSL/Urban Transportation Sponsored Session Chair: Sang Jin Kweon, Carnegie Mellon University, Pittsburgh, PA, 15206-3196, United States 1 - Optimizing the Relocation Operations of Free-floating Electric-car Sharing Systems Zulqarnain Haider, University of South Florida, Tampa, FL, United States, Hadi Charkhgard, Sang Won Kim, Changhyun Kwon In an free-floating electric-car sharing system, the problems of fleet placement to fulfill demand requirements, fleet recharging using limited infrastructure to fulfill recharging requirements, and driver pick up and delivery using shuttles are of great interest. In this work, we present a combined MILP formulation and a decomposition algorithm, to solve the aforementioned problems simultaneously, rather than sequentially. The relationship between preferred charging levels and geographic location of customer demand is used to determine recharging requirements. n SB28 North Bldg 221A

n SB26 North Bldg 132A Joint Session OR/Practice Curated: Doing Good with Good OR Emerging Topic: Doing Good with Good OR Emerging Topic Session Chair: Mehmet U.S. Ayvaci, University of Texas at Dallas, 800 W Campbell Rd, Sm33, Richardson, TX, 75080-3021, United States Co-Chair: Gemma Berenguer, Purdue University, 1020 Happy Hollow Rd, West Lafayette, IN, 47906, United States 1 - Influence Maximization for HIV Prevention among Homeless Youth Bryan Wilder, University of Southern California, Los Angeles, CA, United States HIV among homeless youth is a pressing health challenge; hence, local agencies conduct HIV prevention interventions. Selected youth are trained as peer leaders and disseminate prevention-related information through their social network. Choosing influential peer leaders is a difficult optimization problem. Together with local agencies, we developed and deployed novel optimization techniques which reached over twice the youth as previous methods. 2 - Inconvenience, Liquidity Constraints and the Adoption of Off-Grid Lighting Solutions Bhavani Shanker Uppari, INSEAD, 1 Ayer Rajah Avenue, Singapore, 138676, Singapore, Serguie Netessine, Ioana Popescu, Rowan Clarke One-fifth of humankind living in poverty does not have access to electricity. An off-grid lighting model that is becoming prominent in impoverished countries is rechargeable bulb technology. We examine, both theoretically and empirically, the impact of liquidity constraints and recharge inconvenience on the usage of rechargeable bulbs. Our analysis has implications for both firm-level operational decisions and government-level policy decisions. 3 - Improving the Chilean College Admissions System Ignacio Rios, Stanford University, Stanford, CA, 94305, United States We designed and implemented a new white-box algorithm that solves the matching of students to universities, unifying the admission tracks and improving the allocation of around 2,500 students each year since it was fully implemented. In addition, our solution reduced dramatically the computational time, allowing the evaluation of other policies and the implementation of new changes to the Chilean college admissions system. 4 - How and When Should Students Get to School? Equity-Driven Optimization for Boston Public Schools n SB27 North Bldg 132B Joint Session Education/Practice Curated: INFORMS Case Competition Sponsored: Education (INFORMED) Sponsored Session Chair: Palaniappa Krishnan, University of Delaware, Newark, DE, 19716-2130, United States 1 - You Can’t Take It with You Coleen R. Wilder, Valparaiso University, 353 Sheffield Drive, Valparaiso, IN, 46383, United States, Sailu Li The theme of this two-part case study is erroneous retirement planning experienced by two protagonists at different stages in their lives. A common retirement goal presented to many financial advisors is that people want to maintain their current lifestyles. For older clients, advisors are typically confronted with the task of explaining why their clients have insufficient funds and for younger clients, they are challenged with the task of convincing them to save more today for tomorrow. This case study provides a concrete example for students to visualize the impact of the time value of money. Students will often Sebastien Martin, Massachusetts Institute of Technology, Cambridge, MA, 02139, United States, Arthur Delarue We collaborated with Boston Public Schools to develop and apply optimization algorithms for school bus routing and bell time assignment, resulting in a $4+ million yearly educational reinvestment in a district where 75% of students are economically disadvantaged and the unanimous approval of the first equity- driven start time policy in almost thirty years by the Boston School Committee.

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