2016 INFORMS Annual Meeting Program

WB08

INFORMS Nashville – 2016

WB07 102B-MCC Simulation and Data Mining Sponsored: Data Mining Sponsored Session Chair: Mohammad Ali Asudegi, UTK, 301 Woodlawn Pike, Apt G12, Knoxville, TN, 37920, United States, aliasudegi@gmail.com 1 - Discrete Event Simulations Of Urgent Care Resource Scheduling Leyla Zhuhadar, Assistant Professor, Western Kentucky University, 1906 College Heights Boulevard, 226 Grise Hall, Bowling Green, KY, 42101, United States, leyla.zhuhadar@wku.edu, Evelyn Thrasher, Kirk Atkinson Discrete-event simulation is used to estimate the average amount of time that a patient spends waiting to see a nurse and/or waiting to see a doctor. In addition, the model has been extended to estimate the effect on the waiting times if additional nurses or doctors are hired. In this presentation, a study of the value of multiple replications for discrete-event simulation models is discussed and factors to enable greater control on multiple design points with the experiment are defined. Finally, to control the simulation runs for easier model verification, random seeds are used. 2 - A Data Mining Approach For Evaluating Simulation Output Thomas Robbins, East Carolina University, 3212 Bate Building, Greenville, NC, 27858, United States, robbinst@ecu.edu We conduct a detailed simulation experiment to compare two different queuing models over a wide range of inputs with the goal of determining the conditions under which each model works best. We implement a data mining approach to characterize the outputs and evaluate the input conditions that best predict model superiority. Since performance can be evaluated across multiple measures we use a clustering approach to characterize output performance. We then investigate multiple classification techniques to isolate inputs that best predict model superiority. 3 - Performance Indicators And Operating Factors In A Complex Manufacturing System Mohammad Ali Asudegi, UTK, 525 John D. Tickle Engineering Building, 851 Neyland Dr, Knoxville, TN, 37996, United States, aliasudegi@gmail.com, Rupy Sawhney Reliability, Lead-Time and Cycle-Time are the first and most important key performance indicators, KPIs, of each manufacturing system. Understanding the relation between operating factors, system design factors and key performance indicators would help to be able to make better scheduling and run the system within its optimal specification.A simulation has been conducted to study the relation between the operating speed of each machine in a complex system with Lead-Time, Cycle-Time and the reliability of the whole system. Chair: Jianan Sun, Doctoral Student, Xi’an Jiao Tong University, 28 Xianning Road, Shanxi Province, Xi an, 710049, China, sjn168@stu.xjtu.edu.cn 1 - Price Competition Induced By A Partially Green-sensitive Consumer Market In A Dual Manufacturer-single Retailer Channel Arka Mukherjee, PhD Scholar, Concordia University, 1455 De Maisonneuve Blvd. W., Montreal, QC, H2G 1M8, Canada, ar_mukh@live.concordia.ca In a marketing channel with two manufacturers and one retailer, price competition between green and non-green products is studied. Considering different market power structures Game theoretic models are developed.A simple Nash game, a cost-sharing contract and a scenario where manufacturers are the market leaders are considered. The results from the different power structures are compared analytically and numerically and interesting conclusions are drawn. 2 - Incentives For Fair Labor Practices In a Supply Chain Susan A Slotnick, Professor, Cleveland State University, 1860 E. 18th Street, BU 542, Cleveland, OH, 44115, United States, s.slotnick@csuohio.edu, Matthew J Sobel This paper investigates the tradeoffs involved in a firm’s decision to implement policies and procedures to ensure that its products are not manufactured using unfair labor practices. We consider a firm that repeatedly sources a product from a single supplier, maximizes its own profit, and decides whether to cut its profit margins and/or expend resources to inspect the supplier, as well as to improve and/or maintain fair labor practices at that supplier. Retail demand for the product is influenced by reputation. WB08 103A-MCC Supply Chain Mgt, Green Contributed Session

4 - Implement Real Time Pricing With Regret Based Learning Andrew Lu Liu, Purdue University, andrewliu@purdue.edu The situation where price-responsive consumers determine what to do in the near future (such as when to charge their PEVs) forms a dynamic and incomplete-information game, in which the consumers’ collective actions will impact electricity prices, which in turn affect their payoffs. We propose a regret- matching-based algorithm for each consumer to learn their strategies, as opposed to naively responding to day-ahead prices. We will show convergence to a correlated equilibrium of the regret-matching approach, and study the price of anarchy of the regret-based learning approach. WB05 101E-MCC Forest management: Transportation and/or Collaborative Logistics Sponsored: Energy, Natural Res & the Environment II Forestry Sponsored Session Chair: Mikael Ronnqvist, Universite Laval, Quebec, QC, Canada, mikael.ronnqvist@gmc.ulaval.ca 1 - Overlapping Coalitions In Collaborative Transportation Of Forest Biomass Given a set of companies, we address a collaborative transportation problem in which a same company can collaborate in more than one coalition. This problem corresponds to what in cooperative game theory is known as coalition configuration. We develop area-driven approaches and another approach that embeds the coalition configuration in the transportation problem. We report numerical results for a case in Sweden involving about 6 million tons of forest biomass. Collaboration in this case has not only the potential of cost savings, but also of increasing the use of bioenergy. The results improve substantially compared to a coalition structure and are competitive with the grand coalition. 2 - Bundle-based Auction For Timber Allocations Sophie D Amours, Université Laval, Sophie.Damours@gmc.ulaval.ca, Marc-André Carle, Mikael Ronnqvist Tenure of the public forest in Québec, Canada, includes the usage of an auctioning system to allocate the 25% of the commercial forest to industry. We have studied the system and explored new strategies to increase its performance. This includes using combinatorial auctions. The presentation will review the context, the literature and illustrate using a case study the potential and challenges of implementing a combinatorial auctioning system. These include higher efficiency in coordinating needs with supplies as well as the potential challenge of finding multiple optimal solutions and the need for discriminating criteria. 3 - Supply Network Planning Of Forest Fuel Using Robust Optimization Jens Bengtsson, Norwegian University of Life Sciences, jens.bengtsson@nmbu.no, Patrik Flisberg, Mikael Ronnqvist Fluctuating and uncertain temperature during the year will cause an uncertain demand at heating plants. These plants use district heating with an energy supply of forest fuel. Changed supply contracts with customers (heating plants) on a yearly frequency may result in very different optimal supply network. We use robust optimization to analyze where forests fuel storage points should be located and their capacities in order to take transportation cost and lead times into account. Critical is to ensure that there is enough supply and transport capacity Mario Guajardo, Norwegian School of Economics, Mario.Guajardo@nhh.no, Patrik Flisberg, Mikael Frisk, Mikael Ronnqvist

available throughout the year. 4 - Collaborative Logistics

Mikael Ronnqvist, Universite Laval, mikael.ronnqvist@gmc.ulaval.ca

Collaborative logistics is an efficient approach to improve the logistics operations. In our presentation, we consider horizontal collaboration between several companies and larges savings have been reported in the literature. However, there is also a number of practical issues to deal with including sharing principles and how the joint planning is done without revealing sensitive information. We describe a number of practical applications and discuss their potentials and pitfalls.

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