2015 Informs Annual Meeting

WA68

INFORMS Philadelphia – 2015

2 - Inventory Control for Returnable Transport Items in a Closed Loop Supply Chain Barry Cobb, Missouri State University, 901 S. National Ave., Springfield, MO, 65897, United States of America, BarryCobb@MissouriState.edu A model for determining inventory control parameters for returnable transport items in a closed-loop supply chain is presented. To incorporate uncertain container returns, cycle time and return rate distributions are estimated from radio frequency identification data. The effect of estimation errors due to a partial tagging of containers is examined. 3 - Target-Oriented Utility in Operations Management Robert Bordley, Expert Systems Engr Professional, Booz-Allen-Hamilton, 525 Choice Court, Troy, MI, 48085, United States of America, Bordley_Robert@bah.com Target-Oriented Utility allows utility theory (and thus risk-attitude) to be seamlessly integrated into applications focused on meeting targets. Previous work demonstrated its applicability in project management. This paper demonstrates its applicability in production scheduling. 4 - Supplier Competition under Carbon Policy Nikoo Sabzevar, University of Calgary, 2500 University Dr. NW, Calgary, AB, T2N1N4, Canada, nikou.sabzvar@gmail.com, Janne Kettunen, Joule Bergerson, Silvanus T. Enns We assess the impacts of carbon cap policy on the profitability of two suppliers that compete against each other in supplying CO2 emission intensive products. We capture the competitive interactions using a Cournot model. Our results show, counterintuitively, that tightening the carbon cap can, under certain conditions, increase firms’ profits. Also, we show that firms can increase their profits further by engaging in bilateral trading of emission permits. WA66 66-Room 113C, CC Reducing Impact of Delay through Improved Airport Operations and Recovery Procedures Sponsor: Aviation Applications Sponsored Session Chair: Heng Chen, University of Massachusetts Amherst, Isenberg School of Management, Amherst, MA, 01003, United States of America, heng@som.umass.edu 1 - Integrated Airline Recovery: Capturing Passenger Compensation Impacts Luis Cadarso, Rey Juan Carlos University, Camino del Molino s/n, Fuenlabrada, 28943, Spain, luis.cadarso@urjc.es, Vikrant Vaze The European flight delay compensation regulation (EC) No 261/2004 establishes common rules on compensation to passengers in the event of disruptions. We develop an integrated approach that recovers airline timetable, fleet assignment, aircraft routings, and passenger itineraries capturing the impacts of airlines’ decisions on passenger compensation. We evaluate scenarios involving disruptions, and optimize recovery decisions to maximize profits by modeling passenger no-shows after disruptions. 2 - A Large Neighborhood Search Heuristic for an Optimal Ad-hoc Hubbing Strategy in an Airport Outage Daniel Suh, Doctoral Student, University of Pennsylvania, 210 South 34th Street #102, Philadelphia, United States of America, dansuh@design.upenn.edu Abrupt airport outages resulting from terrorism, natural disasters, and incidents can cause reroutes and fuel-critical situations for flights. The objective of this study is to design a heuristic that identifies an ad-hoc hubbing strategy: a strategy to reroute flights bound for a disrupted airport to a hub airport that is not dis- rupted, with the goal of accommodating passengers on existing flights departing Senay Solak, University of Massachusetts Amherst, Isenberg School of Management, Amherst, MA, 01003, United States of America, solak@isenberg.umass.edu, Heng Chen Departure metering is an airport surface management procedure that limits the number of aircraft at the runway queue by holding aircraft at gates or at a predesigned metering area. We identify the optimal capacity for such a metering area, and quantify the overall value of the presence of a departure metering area at airports. The analysis is performed through stochastic dynamic programming, which is used to generate optimal metering decisions based on the status of each flight. the non-disrupted hub while maintaining physical feasibility. 3 - Value of using a Departure Metering Area at Airports

4 - Impacts of Alternative Aircraft Taxiing Systems on Airport Operations

Yu Zhang, Associate Professor, University of South Florida, Tampa, 4202 E. Fowler Avenue, Tampa, Fl, 33620, United States of America, yuzhang@usf.edu, Rui Guo, Yuan Wang Alternative taxiing is an innovative way of moving aircraft between airport gates and runways without turning the main engines on. The existing alternative aircraft taxiing systems (AATS) include on-board system such as WheelTug and EGTS, and external systems such as TaxiBot. This study investigates the impacts of AATS to airport operations, from both environmental and economic point of view and use presentative US airports as the case study to demonstrate the outcomes.

WA67 67-Room 201A, CC Freight Logistics Sponsor: TSL/Freight Transportation & Logistics Sponsored Session

Chair: Rodrigo Mesa Arango, Assistant Professor, Florida Institute of Technology, 150 W. University Blvd, Melbourne, FL, 32901, United States of America, rmesaara@purdue.edu 1 - Bundling and Pricing Less-than-Truckload Services with Stochastic Demand Rodrigo Mesa Arango, Assistant Professor, Florida Institute of Technology, 150 W. University Blvd, Melbourne, FL, 32901, United States of America, rmesaara@purdue.edu Algorithms to bundle and price Less-than-truckload (LTL) services are proposed considering stochastic demand, value-based pricing, and demand segmentation. A two-stage min-cost flow problem accounts for uncertain demand. Its deterministic equivalent is formulated as a regular min-cost flow problem and efficiently solved. Deterministic models overestimate benefits. Numerical experiments reveal the cost of uncertainty and demonstrate improvements in bundle quality. 2 - Operations Research in the Supply Chain: Narrowing the Gap Between Theory and Practice Kevin Zweier, Vice President, Chainalytics, 2500 Cumberland Parkway, Suite 550, Atlanta, GA, 30339, United States of America, kzweier@chainalytics.com Learn how Chainalytics employs advanced analytics, modeling and optimization tools, techniques and heuristics to help clients (a) drive fact-based transformation and improve supply chain efficiencies in transportation sourcing, routing and fleet management; network design; and inventory policy and planning and (b) benchmark their rates for competitive analysis via membership in the Freight Management Intelligence Consortium (FMIC). WA68 68-Room 201B, CC Inference and Control in Dynamic Routing Sponsor: Transportation, Science and Logistics Sponsored Session Chair: Negin Ebadi, University at Buffalo, 326 Bell Hall, Buffalo, NY, 14226, United States of America, negineba@buffalo.edu 1 - Inferring Travelers’ Origin-Destination and Preferences via Shared Mobility System Utilization Anshuman Kumar, University of Buffalo, Buffalo, NY, akumar27@buffalo.edu, Alexander Nikolaev, Jee Eun Kang This research develops new methods to identify individual travelers’ preferences and at the same time, infer “true” Origin-Destination (OD) based on incomplete route information of shared mobility system uses. Based on observations of travelers’ route choices of a bike sharing system under various price settings, the proposed methods performs probabilistic reasoning to infer travelers’ OD and preference. 2 - Mechanism Design for Route Assignment in Traffic Networks Tarun Rambha, tarun.1988@gmail.com, Stephen Boyles Assuming that travelers specify their maximum willingness to pay for a trip, we explore mechanisms in which a centralized controller assigns travelers to routes to optimize social welfare while ensuring incentive compatibility. Travelers’ utilities are assumed to be a function of their willingness to pay and experienced travel times.

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