Informs Annual Meeting 2017

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INFORMS Houston – 2017

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6 - Evolution of Hierarchical and Modular Patterns in Strategic Networks Anparasan Mahalingam, PhD Candidate, Purdue University, 403 W State Street, Krannert Building, West Lafayette, IN, 47906, United States, anparasan@purdue.edu, David Richard Johnson, Umit Ozmel We have applied network analysis tools to a database of biopharmaceutical alliances, developing methods to identify emergent hierarchical and modular network structures, find sub-communities, and trace temporal dynamics. Findings suggest that smaller sub-communities organize hierarchically into larger networks with local clustering. Patterns and structures are consistent with features found in many other types of networks. These methods lead to greater understanding of the strategic implications of network structure and organization when fused with econometric analysis. 360B Public Sector OR Utilizing GIS Sponsored: Public Sector OR Sponsored Session Chair: Ronald McGarvey, University of Missouri, Columbia, MO, 65211, United States, mcgarveyr@missouri.edu 1 - Addressing Health Disparities at U.S. Community Health Centers: A Focus on Pregnancy-related Health Outcomes Andreas Thorsen, Montana State University, Bozeman, MT, United States, andreas.thorsen@montana.edu, Maggie Thorsen, Rohith Mahdi Reddy, Ronald G.McGarvey Federally qualified health centers (FQHCs) provide comprehensive health care services to under-served populations. We aim to identify whether there exist different typologies for FQHCs and to better understand the differences between and within these typologies in terms of efficiency, quality of care, and pregnancy- related health outcomes. We identify FQHC typologies by performing a latent class analysis incorporating information such as demographics and services provided. Then we apply data envelopment analysis to measure the efficiency of health centers within latent classes. The purpose of this analysis is to determine systematic issues that may hinder successful FQHC operations. 2 - A Demand Response Model for Biopower Generation to Identify Optimal Multi-state Collaborations Ronald McGarvey, University of Missouri, IMSE and TSPA, E3437D Lafferre Hall, Columbia, MO, 65211, United States, mcgarveyr@missouri.edu, Bayram Dundar, Francisco X. Aguilar In this study, we investigate the impact of energy policy-related regulations on biomass demand and procurement cost using econometric models. We develop a robust optimization model to identify min-cost approaches for reducing carbon emissions via biomass co-firing subject to spatially-explicit biomass availability constraints. We utilize a simulated annealing heuristic approach to solve the resultant robust mixed integer nonlinear programming model. We apply this model to a set of 18 states in the northern US to identify optimal sets of multi- state collaborations. 3 - Coupled Natural and Human System Model to Support Climate-adapted Water Management Policies in the Great Plains Jessica Heier Stamm, Assistant Professor, Kansas State University, Manhattan, KS, United States, jlhs@k-state.edu, Gabriel Granco Policy makers face challenges developing and enacting policies to help communities mitigate or adapt to climate change impacts. We study a coupled natural and human system in the U.S. Great Plains that is vulnerable to water supply challenges. In this talk, we describe a geographically explicit agent-based simulation model that integrates the decision making perspectives of community members, landowners, and policy makers with biophysical system models. We aim to identify water management policies that balance economic and environmental sustainability. 4 - Inventory Management of Blood Platelets at Hospitals Suchithra Rajendran, The Pennsylvania State University, 265 Blue Course Drive, Apt 3E, State College, PA, 16803, United States, sur205@psu.edu, Arunachalam Ravindran This research proposes stochastic mathematical models for blood platelet inventory management at the hospitals. On one side, there is a 20% wastage of platelets due to outdating and on the other side, there is severe blood shortage due to which surgeries are postponed by nearly 120 days. Therefore, it is necessary to minimize wastage and shortage of platelets. In this research, inventory models are developed to achieve this objective incorporating several real-life constraints. The result act as a decision support system to the hospital administrator. WA43

360C Operations Management/Marketing Interface Contributed Session Chair: Yang Zhan, Shanghai Jiao Tong University, Shanghai, China, zhanyangjy@sjtu.edu.cn 1 - Cheating or Delighting Customers on Product Quality? Fouad El Ouardighi, ESSEC Business School, Avenue B. Hirsch BP.105, Cergy Pontoise, 95021, France, elouardighi@essec.fr, Konstantin Kogan In this paper, we claim that, though based on different tradeoffs, cheating and delighting policies are the two faces of the same coin. Cheating allows for inflated goodwill and provides a cheating rent as long as the cheating is not disclosed, while delighting allows for enhanced goodwill and yields a delighting rent as soon as the delighting is awarded. The conditions that allow for rent equalization between the two policy options are identified. We also characterize the conditions under which either cheating or delighting customers on quality is beneficial. 2 - Joint Optimization of Capacitated Assortment and Pricing Problem under the Tree Logit Model Yanqiao Wang, UC Berkeley, 1945 Milvia St, Apt 101, Berkeley, CA, 94704, United States, yanqiao@berkeley.edu, Zuo-Jun Max Shen Assortment and pricing decisions are of significant importance to firms and have huge influences on profit. How to jointly optimize over both assortment and prices draws increasing attention recently. In this paper, we study the joint capacitated assortment and price optimization problem where the consumer choosing behavior is governed under the multistage tree logit model. Under the cardinality constraints, we develop an efficient algorithm that runs in polynomial time to find the optimal assortment with optimal prices. Under the space constraints, we can obtain a 2-approximate solution within the same time scale compared to the cardinality constraints. 3 - Competition in Food Quality Standards when Consumer Confusion Exists Yang Song, East China University of Science Technology, Meilong Road No.130, Shanghai, China, skye_y.song@qq.com As food quality is a kind of credence attribute, Certification can reduce the problem of information asymmetry. This paper assumes that duopoly firms produce product with vertical differences and two different standards. We focus on the analysis on the equilibrium and our results show that the existence of two quality standards can increase the producer’s benefits as well as social welfare. Especially, I takes into account the existence of consumer confusions. It shows that a second standard led to an increase in prices and a reduction in qualities. At last, comparison between the social effects of markets consisted of different consumers were made. 4 - Coordinating Customers’ Choices for Cost-effective Healthcare Service Delivery Harihara Natarajan, Associate Professor, University of Miami, Coral Gables, FL, United States, hari@miami.edu, Fang Fang Service providers vary greatly in their costs to the insurance company, but may have little difference to the consumers in terms of coinsurance payment and other out-of-pocket expenses. As a result, without alignment, consumers may choose more expensive treatment that increases the cost to the insurance company. Facing this problems, we exam how an insurance company could provide incentives to consumers to gain alignment without compromising the quality of care or customer service. 5 - Profiting from Refund: the Value of No-shows Yang Zhan, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai, 200030, China, zhanyangjy@sjtu.edu.cn To migrate the negative effects of no-shows, a pre-charge strategy, which charges a deposit when a patient requests an appointment, is observed in an increasing number of clinics. We consider two policies including to refund or not to refund the deposit, respectively. Under the refund policy, the patient can get partial or full refunds, is assumed to report the cancellation for sure. While under the no- refund policy, the patient cannot get any refund, not reporting the cancellation, and no-shows may incur. We show that the refund policy can be more profitable (1) without charging a higher deposit compared to the no-refund policy (2) even when overbooking is allowed in the no-refund policy.

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