Informs Annual Meeting Phoenix 2018

INFORMS Phoenix – 2018

WA74

4 - Dynamic Pricing and Resource Allocation in Driverless Ridesharing Systems Chao Lei, University of Illinois at Urbana-Champaign, 205 N. Mathews Ave., Urbana, IL, 61801, United States, Zhoutong Jiang, Yanfeng Ouyang We propose a multi-period game-theoretic model for the dynamic ridesharing pricing and idling vehicle reallocation problem in the context of driverless vehicles being applied to providing on-demand ridesharing services. The goal is to achieve the best utilization of ridesharing resources in both spatial and temporal dimensions through the game-theoretic optimization. A mathematical program with equilibrium constraints (MPEC) formulation is developed to capture the independent decision-making process of the mobility service provider and travelers. A non-myopic approximate dynamic programming (ADP) based algorithm is implemented as the solution approach.

several heuristic solution approaches which extend our earlier work on stochastic lotsizing to the considered case of imperfect yield. The performance of the new solution approaches is analyzed with a numerical experiment.

n WA73 West Bldg 211B JFIG Panel Discussion: How to Build Your Network Sponsored: Junior Faculty JFIG Sponsored Session Chair: Gokce Palak, Shenandoah University, Winchester, VA, 22601, United States Co-Chair: Canan Gunes Corlu, Boston University, Boston, MA, 02215, United States 1 - JFIG Panel Discussion: How to Build Your Network Gokce Palak, Shenandoah University, 1460 University Dr., Winchester, VA, 22601, United States This session features presentations by panelists who will share their experiences and insights about building your network. Panelists Sandra D. Eksioglu, Clemson University, 277C Freeman Hall, Department of Industrial Engineering, Clemson, SC, 29634, United States Laurens G. Debo, Dartmouth College, 100 Tuck Hall, Hanover, NH, 03755, United States Russell R. Barton, Pennsylvania State University, 210 Business Building, University Park, PA, 16802, United States Dessislava Pachamanova, Babson College, Math/Science Dept, 319 Babson Hall, Babson Park, MA, 02457, United States n WA74 West Bldg 212A Joint Session MCDM/Practice Curated: Understanding Multiple Criteria in Healthcare Applications Sponsored: Multiple Criteria Decision Making Sponsored Session Chair: Gilberto Montibeller, Loughborough University, School of Business & Economics, Loughborough, LE11 3TU, United Kingdom 1 - Healthcare Resource Allocation in Accountable Care Organizations Based on Data Envelopment Analysis and Multi-objective Integer Programming Approach Hasan Symum, Graduate Assistant, University of South Florida, Tampa, FL, 33612, United States Accountable Care Organizations (ACOs) represents a major healthcare reform that aimed to better control cost while improving care quality. However, only (30% -35%) of the ACOs were able to generate savings from Medicare due to lack of coordination and consistency in care. We propose bi-level multi-objective DEA based decision support system that allocates patients and healthcare resources to the ACOs decision-making unit (DMU) by assigning protocols to minimize spending and variability in care under Medicare-ACO contract framework. It provides a comparison between centralized decision making with the existing system and bi-level model improves overall DMU’s efficiency level significantly. 2 - A Strategic Modeling for the Allocation of Ambulance Request to Emergency Departments in the United States System Jorge Acuna, PhD Student, Univerisity of South Florida, 4202 E. Fowler Avenue, Tampa, FL, 33620, United States Being able to assign efficiently the services request to emergency departments (ED’s) is of paramount importance both from financial and life-threating scenarios. Three strategies based on mixed integer programming for multi- objective optimization, min-max, and game theory approaches, are implemented to improve the ambulance allocation in the U.S. system. A hypothetical scenario of a county is used to compare the efficiency and fairness of each strategy. Policies and disparities implications are analyzed and discussed.

n WA72 West Bldg 211A Practice- Operations Management II Contributed Session

Chair: Horst Tempelmeier, Universitaet zu Koeln, Albertus Magnus Platz, Seminar fuer SCM und Produktion, Koeln, D. 50923, Germany 1 - Research on Decision Optimization of Low Carbon Remanufacturing Production under Financing Strategy Xiaodong Xia, Southeast University, Nanjing, China, Weida Chen Abstract: This paper devotes to integrating the financial strategies which consists of bank loan, stock financing, debt financing, and financing lease into low carbon remanufacturing production decisions. The remanufacturer can get economical aid by financing to optimize its promotion, which is a convex optimization problem in a nonlinear programming model that can be solved by intelligence algorithms. Finally, there is a hot discussion about optimal production decisions on different financing modes to get better production strategy. Key words: Remanufacturing production decision; financial strategies; Nonlinear programming model; Intelligence algorithms 2 - How the Technology Constraint and Cannibalization Affect Firm’s Product Introduction Strategy Yi Liu, Pennsylvania State University, University Park, PA, 16802, United States, Nicholas C. Petruzzi We consider the optimal product design question for a firm in a two-segment market characterized by heterogeneous customer valuations of product quality. The firm’s product quality is currently limited by a technology constraint that can be removed if product introduction is delayed by one time period. The question is, what, if any product should be introduced now and what, if any, should be introduced later. 3 - Forecast Horizons under Demand Substitution and Backlogging and Production Changeovers with Batch Production Fuying Jing, Dr., University of Electronic Science and Technology of China, Chengdu, China, Yinping Mu This paper studies forecast horizons for a two-product dynamic lot size problem under (i) one-way substitution, that is one product can be used to satisfy the demand of the other product but not vice versa; and (ii) the production rate to be any value in the set {0, Q, 2Q,..., nQ}, where n is nonnegative integer; and (iii) backlogging is permitted. It is assumed that the switching cost is occurred when production switches from one product to the other. Based on some properties of the optimal solution, we develop a DP algorithm to solve the problem. By establishing the monotonicity of the production point of two products, we give a sufficient condition to obtain the forecast horizon. 4 - Supply Allocation of Multiple Services on the Ride-hailing Platform Shuanglong Wang, PhD Student, University of Illinois-Urbana Champaign, Champaign, IL, 61820, United States, Xin Chen It’s a common practice for a ride-hailing platform to manage multiple substitutable services. The platform has to manage the qualities of services by allocating the incoming drivers among them. We use the expected waiting time to capture the qualities of different services and assume that the drivers arrive passively during demand shock. We use the MNL model to describe the choice behavior of waiting-time-sensitive riders and look at the long-term equilibrium between rider’s choices and the platform’s allocation policy. The optimal strategies of supply allocation are investigated accordingly. 5 - Dynamic Capacitated Lot Sizing with Random Demand and Random Yield Horst Tempelmeier, Professor, University of Cologne, Albertus Magnus Platz, Department of SCM and Production, Cologne, D. 50923, Germany We consider a dynamic multi-item capacitated lot sizing problem under stochastic demand and random yield. We develop a planning model which is based on the static uncertainty strategy by Bookbinder and Tan (1988) whereby a cycle fill rate constraint is implemented to control the amount of backorders. We propose

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