2016 INFORMS Annual Meeting Program

TB60

INFORMS Nashville – 2016

TB57 Music Row 5- Omni

2 - Energy-dependent Scheduling Of Non-identical Parallel Machines Farnaz Ghazi Nezami, Assistant Professor, Kettering University, 5336 Timberwood Point Drive, Flint, MI, 48532, United States, fghazinezami@kettering.edu, Mojtaba Heydar In this study, we analyze the problem of job scheduling in non-identical parallel machine production system with machine dependent processing durations to minimize total completion time and energy costs. The energy costs in this study include energy demand and consumption charges. We present a mixed integer linear programming model to formulate the problem. The model is solved for optimality using an exact approach and the performance is evaluated through numerical experiments. TB59 Cumberland 1- Omni Innovations in Transporation Network Pricing Sponsored: Transportation Science & Logistics Sponsored Session Chair: Roger Lloret-Batlle, University of California, CA, United States, rlloretb@uci.edu 1 - A Vulnerable Options-based Reservation Scheme For Highway Facilities Subject To Degradation: Reservation Options On Truck-only Lanes Choungryeol Lee, Perdue University, West Lafayette, IN, United States, lee1210@purdue.edu, Srinivas Peeta A vulnerable options-based reservation scheme is proposed for truck-only lanes. The model incorporates risks for assuring a threshold traffic condition by estimating the expected potential loss. A case study of reservation options on truck-only lanes is used to estimate the loss and price reservations from the risk- neutral perspective of rational users. 2 - Efficient Envy-free Pricing In Transportation Systems Roger Lloret-Batlle, University of California, CA, United States, rlloretb@uci.edu, R Jayakrishnan We explore the envy-free pricing concept in multiple transportation contexts: (1) in min-cost flow networks such as in P2P ride-sharing problems, where its implementability as an ascending auction is examined, (2) in dynamic queue- jumping highway operations, and (3) in traffic signal control, for fair compensating payments in priced exchanges 3 - Dynamic Pricing And Reservation For Intelligent Urban Parking Management Chao Lei, University of Illinois at Urbana - Champaign, 2063 S. Orchard St. Apt A, Urbana, IL, 61801, United States, lei8785@gmail.com, Yanfeng Ouyang We study a real-time parking pricing and online reservation problem for the intelligent parking system in busy urban neighborhoods. A dynamic non- cooperative bi-level model and a non-myopic ADP solution approach are developed to enable the agency to decide the spatial and temporal parking price while considering the drivers’ competition for limited parking spaces at equilibrium parking prices. The numerical results reveal that the ADP-based pricing policy outperforms the myopic one in achieving greater performance of the parking system. TB60 Cumberland 2- Omni Moving People and Goods More Efficiently in Traffic Networks: Models and Algorithms Sponsored: TSL, Urban Transportation Sponsored Session Chair: Trilce Marie Encarnacion, Rensselaer Polytechnic Institute, Rensselaer Polytechnic Institute, Troy, NY, 00000, United States, encart@rpi.edu 1 - Design Of Multi-period Tradable Credit Scheme For Vehicular Emission Reduction Mohammad Miralinaghi, Purdue University, smiralin@purdue.edu, Srinivas Peeta Credit-based congestion pricing is a strategy to manage traffic congestion and emissions by creating artificial markets for mobility credits. We design a multi- period tradable credit scheme to reduce vehicular emissions in a traffic network by factoring interest rates over a long-term planning horizon. It is formulated as a bi-level model where the credit allocation and link charging schemes are determined at the upper level and the lower level describes credit usage and the travel decision-making process of travelers

Managing Decentralized Processes Sponsored: Behavioral Operations Management Sponsored Session Chair: Enno Siemsen, University of Wisconsin, Madison, WI, United States, esiemsen@wisc.edu 1 - Production Process Moves Pettis Kent, University of Minnesota, kentx143@umn.edu To study the growing trend of multinational firms moving production processes within and between countries to address strategy needs, we develop a behavioral experiment where production teams build small devices for multiple rounds, with “template use” and “product/process change” as the individual variables of interest, and with cost (learning rate) as the dependent variable. Our research objective is to better understand how firms can effectively manage process knowledge during a production move. 2 - Ideation Execution Transition In Product Development Evgeny Kagan, University of Michigan, ekagan@umich.edu, Stephen Leider, William Lovejoy We show experimentally that design performance is significantly worse when designers decide for themselves how to schedule the development process. We demonstrate several remedies for situations when external allocation of time to development phases is not possible. Managers can improve performance by “nudging” individuals towards early physical build, or by requiring them to commit to a transition time beforehand. However, the most effective way to improve performance is contingent transition - a requirement to present a prototype that exceeds a minimum performance hurdle 3 - An Experimental Investigation Of Transshipment And Local Decision Making Shan Li, Baruch College, City University of New York, New York, NY, 10601, United States, shan.li@baruch.cuny.edu, Kay-Yut Chen When a retailer has surplus stock and another retailer has inventory shortage, it may be desirable to transfer surplus stock from the former to the latter. We experimentally examine how the possibility of such transshipment between two independent retailers affects each retailer’s local decisions of inventory and study the formation of transfer prices under different price setting processes. 4 - Inventory Sharing Behavior Enno Siemsen, University of Wisconsin - Madison, Madison, WI, esiemsen@wisc.edu, Hui Zhao, Liang Xu Inventory sharing systems are essential for decentralized decision makers to benefit from aggregation. We use behavioral laboratory experiments to examine inventory sharing behavior in the laboratory. Results from our experiments show that the transfer price - which is a common tool to coordinate inventory sharing systems - fails to influence our subjects initial order quantities, and thus does not lead to a coordinated system. Further, we show that subjects are reluctant to ask their supply chain partners for an adequate amount of information, and that the potential to request inventory from other players leads to a general reduction in initial order quantities. TB58 Music Row 6- Omni Energy X Contributed Session Chair: Farnaz Ghazi Nezami, Assistant Professor, Kettering University, 5336 Timberwood Point Drive, Flint, MI, 48532, United States, fghazinezami@kettering.edu 1 - Integrated Generated Expansion Planning By Considering Wind Intermittency Ahmet Akgun, Wichita State University, 3540 N Inwood Street, Apt # 11305, Wichita, KS, 67226, United States, ahmetie@yahoo.com A multiperiod mathematical programming model for integration of electricity generation and transmission expansion planning and natural gas network problem is proposed. The proposed model is formulated as a linear optimization problem and it optimizes the operation, transmission and investment costs for both systems at the same time. This paper aims to determine what kind of generation units to be built, where to build those generation units, and when to build. The mathematical model also includes the decision for new transmission line for both natural gas and electricity. The proposed model is tested on a real scale network to analyze the impact of the natural gas cost on the new investment decisions.

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