2016 INFORMS Annual Meeting Program

WE31

INFORMS Nashville – 2016

4 - A Structural Estimation Model Based On Socioeconomic Variables To Analyze The Evolution Of Retail Channels Jan C Fransoo, Eindhoven University of Technology, School of Industrial Engineering, P.O. Box 513 Pav F4, Eindhoven, NL-5600MB, Netherlands, j.c.fransoo@tue.nl, Christopher Mejía-Argueta Despite the prediction of many researchers that nanostores in the traditional retail channel would disappear, they continue to serve most of the world’s population. We develop a structural estimation model to analyze current and future choice of clients among supermarkets, convenience stores and nanostores considering socioeconomic variables. Using data from two Latin American cities, we show that channel switching behavior is explained primarily by population density, income level, and the growth of stores. Furthermore, there are important reasons why nanostores will continue to retain their position as the largest retailing channel in big cities with large income differences. WE29 202A-MCC Empirical Research in Sustainable Operations Sponsored: Manufacturing & Service Oper Mgmt, Sustainable Operations Sponsored Session Chair: Erin Cassandra McKie, University of South Carolina, 1014 Greene Street, Columbia, SC, 29208, United States, erin.mckie@grad.moore.sc.edu 2 - Sector, Industry, Firm, And Year Influence On Environmental Management Practice Adoption Rick Hardcopf, University of Minnesota, 321 19th Avenue South, Minneapolis, MN, 55455, United States, hardc001@umn.edu, Rachna Shah, Ujjal Kumar Mukherjee Firms take deliberate actions to reduce the impact of their operations, or supply chain, on the natural environment. While adoption of these practices has increased steadily over the years, firms within a common sector or industry vary greatly in their propensity to adopt. In this study, we use a novel secondary dataset to evaluate the relative influence of time, firm attributes, industry membership and sector participation in explaining heterogeneity in adoption across firms. We also evaluate several individual firm and industry characteristics to determine which specific aspects of the firm and industry are responsible for the variance explanation provided by the macro categories. 3 - Promoting Consumer Recycling: Effects Of EPR Legislation And Regional Traits Erin Cassandra McKie, PhD Candidate, University of South Carolina, 1014 Greene Street, Columbia, SC, 29212, United States, erin.mckie@grad.moore.sc.edu, Mark Ferguson, Michael Galbreth We will present results from consumer surveys about e-waste legislation from U.S. states that have different versions of e-waste legislation as well as from states with no e-waste legislation. Our findings indicate differences in customer awareness of e-waste policies and how they dispose of end-of-use electronic products.

dispersion, stock mobilizing speed, and stock fortification on amount of the required inventory. Due to uncertainty in demand location, a scenario-based modeling approach based on graph and network concepts is used. Then, the findings are tested on a case problem in Florida including 18 regions facing hurricane and the related insights and observations are extracted. 2 - Surge Capacity Deployment In Hospitals: Preparation, Response, Recovery, And Mitigation Alex Mills, Indiana University, Bloomington, IN, United States, millsaf@indiana.edu, Yu Wang Major hospitals often experience demand surges, requiring a rapid increase in capacity. While practitioners deploy several different actions to respond to surges, mitigative actions are often ignored. We show that both response and mitigation can be improved using ideas found in Operations Management, and we suggest specific operational improvements based on hospital characteristics. 3 - Malaria Treatment Distribution In Developing World Health Systems And Application To Malawi Jonathan Helm, Indiana Universtiy, helmj@indiana.edu Efficient medication distribution is key in the fight against malaria in developing countries with severe resource constraints. We propose a new transshipment methodology by integrating a tactical 2-stage stochastic program with an optimal operational policy derived from a MDP model. We design a decomposition strategy that enables a tractable solution for the entire country, including government 290 centers. Our approach is shown to be robust to challenges of developing countries, including slow paper-based inventory review, uncertain transportation infrastructure, the need for equitable distribution, and seasonal and correlated demand associated with malaria transmission dynamics. 4 - Healthcare Inventory Management In The Presence Of Supply Disruption And A Reliable Alternative Supply Channel Erhun Kundakcioglu, Ozyegin University, Faculty of Engineering, Istanbul, Turkey, erhun.kundakcioglu@ozyegin.edu.tr In this study, we investigate the inventory review policy for a healthcare facility to minimize the impact of inevitable drug shortages when an alternative reliable supplier is present. A continuous-time stochastic process is used to calculate optimal inventory levels for the primary (unreliable) and secondary (reliable but costly) suppliers. We present optimal strategies for tractable instances, provide insights through supervised learning tools, and highlight how these results can be generalized. In particular, we provide business rules for inventory managers that would simultaneously minimize average inventory and secondary supplier usage. WE31 202C-MCC The On-Demand Economy: Matching, Capacity- Planning, and Incentives Sponsored: Manufacturing & Service Oper Mgmt, Service Operations Sponsored Session Chair: Amy Ward, University of Southern California, Marshall School of Business, Los Angeles, CA, 90089, United States, amy.ward@marshall.usc.edu 1 - Near-optimal Matching For Real-time Ridesharing Erhun Ozkan, University of Southern California, Los Angeles, CA, United States, erhunozkan@gmail.com, Amy R Ward Participants in real-time ridesharing services such as Uber, Lyft, etc. arrive stochastically over time and must be matched. One common heuristic myopically matches an arriving customer to the closest available driver. However, that heuristic does not account for differences in arrival rates across locations. We propose a linear programming based heuristic that does account for such differences, and prove it is asymptotically optimal in ridesharing systems with high volumes of demand, under the condition that drivers are in some sense “scarce”. 2 - Product Support Forums: Customers As Partners In The Service Delivery Konstantinos Stouras, INSEAD, konstantinos.stouras@insead.edu, Serguei Netessine, Karan Girotra Online product support forums where customers can post complaints and questions, or report issues about a product or service of a firm abound. A large number of companies choose to crowdsource their product and service support back to their customers, employing a few dedicated service operators. We characterize the equilibrium behavior of such a novel business model for service and compare it with a call center model.

WE30 202B-MCC Systemic Issues in Healthcare and Humanitarian Logsitics Sponsored: Manufacturing & Service Oper Mgmt, Healthcare Operations Sponsored Session

Chair: Jonathan Helm, Indiana University, 1309 E. 10th St, Bloomington, IN, 47401, United States, helmj@indiana.edu Co-Chair: Alex Mills, Indiana University - Bloomington, Bloomington, IN, United States, millsaf@indiana.edu 1 - Inventory Dispersion, Stock Mobilizing Speed And Fortification In Humanitarian Operations Shabnam Rezapoor, PhD Candidate, University of Oklahoma, Norman, OK, United States, shabnam_rezapoor@yahoo.com, Reza Zanjiranifarahani, Alfonso Pedraza-Martinez We study the impact of joint decisions of locating relief stockpiles and identifying amount of pre-positioned inventory on humanitarian logistics. We explore how pre-positioning inventory quantity can be reduced in relief networks. By using analytical and numerical methods we investigate the effect of inventory

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