Informs Annual Meeting 2017

SD16

INFORMS Houston – 2017

SD15

3 - Mining and Interpreting Patient Satisfaction Survey Data Ning Liu, Pennsylvania State University, University Park, PA, United States, nul147@psu.edu, Soundar Kumara Patient satisfaction is one of the most important metrics for measuring the quality of health care services. This research aims to focus on identify the key drivers of patient satisfaction and improving the quality of care from the patients’ perspective. In this paper, we establish a framework to evaluate the patterns of patients’ care experience by learning and interpreting the self-reporting survey data. We develop methods based on regularized locally weighted regression to individually explain model result so as to discover the reasons behind patients’ experiences and overall satisfaction. We focus on the negative patient experience to find the drivers of quality healthcare. 332D Advances in Healthcare Policy Sponsored: Manufacturing & Service Oper Mgmt, Healthcare Operations Sponsored Session Chair: Soroush Saghafian, Harvard Univeristy, Cambridge, MA, 02138, United States, soroush_saghafian@hks.harvard.edu 1 - Analyzing Approaches to the Backlog of Untested Sexual Assault Kits in the U.S. Lawrence M.Wein, Stanford University, Graduate School of Business, 655 Knight Way, Stanford, CA, 94305-5015, United States, lwein@stanford.edu, Can Wang Motivated by the debate over how to deal with the huge backlog of untested sexual assault kits in the U.S., we use data from Detroit to build and analyze a mathematical model that predicts the number of hits (i.e., DNA matches to the database) as a function of both the proportion of the backlog that is tested and whether the victim-offender relationship is used to prioritize which kits are tested. Our analysis suggests that the entire backlog should be tested. 2 - Redesigning Primary Care Delivery: Customized Office Revisit Intervals and E-visits Hessam Bavafa, Wisconsin School of Business, 4284C Grainger Hall, 975 University Avenue, Madison, WI, 53706, United States, hbavafa@bus.wisc.edu, Sergei Savin, Christian Terwiesch The demand for physician services in primary care is shaped by the number of patients associated with each physician and the frequency of scheduled office visits. While a physician can typically set the size of her patient panel without regard for individual patient preferences, office revisit intervals are determined jointly by the physician and her patients. We analyze these decisions by modeling patient demand for office visits as a function of office revisit intervals. 3 - Impact of the United States Health Care Delivery System Reform on Care Patterns: Evidence from Cancer Care Lina Song, Harvard University, 11 Peabody Terrace, #509, Cambridge, MA, 02138, United States, dahye.lina.song@gmail.com, Soroush Saghafian The recent U.S. health care delivery reform could alter the care patterns by changing the provider-side resources. We take advantage of the exogenous changes in area-level provider structures such as hospital closures or horizontal mergers to gain insights into how provider-side resource variables (e.g., patient- provider distance, provider density, and hospital capacity) affect care patterns. We draw evidence from cancer diagnosis and treatment delay times, and use Medicare data to examine multiple types of cancer patients. We find that the shift of patients from low- to high-volume hospitals does not affect the patient- provider distance and reduces the diagnostic and treatment delays. 4 - Hospital-patient Alignment in Healthcare Systems Soroush Saghafian, Harvard Univeristy, Kennedy School of Government, 79 John F. Kennedy Street, Cambridge, MA, 02138, United States, soroush_saghafian@hks.harvard.edu, Wallace J.Hopp Choice of hospital is a key determinant of healthcare quality. But lack of transparent information and other factors introduce distortion into the alignment between patient choices and hospital capabilities. We study ways that patients, payers, and hospitals can improve patient outcomes by achieving better alignment. SD14

332E Game Theory in Supply Chains Sponsored: Manufacturing & Service Oper Mgmt, Supply Chain Sponsored Session Chair: Tinglong Dai, Johns Hopkins University, Baltimore, MD, 21202, United States, dai@jhu.edu 1 - Omni-channel Retailing with Consistent Products and Pricing Xiaomeng Guo, Assistant Professor, Hong Kong Polytechnic University, Kowloon, Hong Kong, xiaomeng.guo@polyu.edu.hk, Panos Kouvelis, Danko Turcic This paper develops a game-theoretical model to compare the traditional multi- channel strategy and omni-channel strategy in a supply chain setting. We examine whether and when implementing omni-channel strategy by offering consistent products and prices across multiple channels can benefit firms. 2 - Signaling Supplier Risk through Buy-back Contract Shouqiang Wang, The University of Texas at Dallas, Naveen Jindal School of Management, 800 W. Campbell Rd, Richardson, TX, 75080, United States, Shouqiang.Wang@utdallas.edu, Haresh B.Gurnani, Upender Subramanian Buyback Contracts are a widely used contractual arrangement in supply chains across a variety of industries. However, legal disputes involving alleged breach of contracts caused by the suppliers’ failure to honor the return clauses abound. Can the buyback contract terms carry information about such supplier’s risk? How does it differ from the situation where the supplier tries to signal its demand information. 3 - Efficient Dynamic Auction Mechanisms for Resource Allocation with Information Asymmetry Yimin Yu, City University of Hong Kong, Department of Management Sciences, 83 Tat Chee Ave., Kowloon, Hong Kong, yiminyu@cityu.edu.hk We study the impact of multilateral information asymmetry on the efficiency of markets when there is insufficient capacity for a resource. We consider a ``distribution system”, in which one upstream principal allocates a resource across multiple downstream agents. Based on the market mechanism, we propose a new dynamic auction mechanism under the multilateral information asymmetry. Surprisingly, our dynamic auction mechanism is a first best iterated dominant- strategy incentive compatible mechanism given that every party is aware of insufficient capacity. Moreover, our dynamic auction mechanism is practical as it is simple and privacy preserving. 4 - Crowdfunding in Green Energy Investment Ying Xu, Singapore University of Technology and Design, 8 Somapah Road, Engineering System & Design, Singapore, 487372, Singapore, xu_ying@sutd.edu.sg, Ronghuo Zheng, Katia P. Sycara This paper studies a new green energy investment model —- green crowdfunding, in which a green energy project is financed by many small individual investors. In this paper, we develop a sequential game model to study the factors that can affect the total green energy investment volume in such green crowdfunding. Surprisingly, we find that the total volume might decrease as crowdfunders are more aware of the environmental benefit of green energy investment, especially when the installation cost of green energy project is low. Moreover, the impact of the crowdfunders’ awareness is affected by the business structure of crowdfunding.

SD16

332F Inventory Management Contributed Session

Chair: Daniel Taylor, The Ohio State University, Fisher College of Business, Columbus, OH, United States, taylor.465@osu.edu 1 - Order Policy of Short Life-cycle Products Based on Dynamic Demand Forecasting Xianhao Xu, Huazhong University of Science & Technology, 1037 Luoyu Road, Wuchang, Wuhan, 430074, China, xxhao@hust.edu.cn Based on the characteristics of short life-cycle products, a twice procurement strategy model of short life cycle products based on the dynamic demand forecast is discussed. The results show that the procurement strategy of short life-cycle products based on dynamic demand forecasting in line with the real business has a better performance than the procurement strategy based on static demand forecasting.

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