Informs Annual Meeting 2017

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INFORMS Houston – 2017

3 - Revenue Optimization under a Preannounced Dynamic Price Function Dana Pizarro, University of Chile, Santiago, Chile, danapizarro@gmail.com, Jose Correa, Gustavo Jose Vulcano We consider a dynamic game between a seller and a single buyer. The seller operates over an infinite time horizon. At the beginning of the horizon the seller commits to a price function p(t) . The buyer arrives according to a general random process, has a private valuation for the item, and decides when to buy in order to maximize his expected utility. The seller’s problem is to determine the price function p(t) to maximize her expected revenue. We analyze this dynamic game and provide numerics to show the achievable revenue performance. 4 - Multi-stage Intermediation in Display Advertising Huseyin Gurkan, Duke University, Fuqua School of Business, PO Box:337, Durham, NC, 27708, United States, hg67@duke.edu, Santiago Balseiro, Ozan Candogan We consider a setting where an advertiser seeks to acquire an impression from an advertising exchange through a chain of intermediaries, and provide a game theoretic model to study the mechanisms offered by strategic intermediaries when the advertiser’s value is private. We characterize the equilibrium of the game among intermediaries within a practically relevant class of mechanisms. 350A New Product Development Contributed Session Chair: Yingchao Lan, Ohio State University, Columbus, OH, United States, lan.63@osu.edu 1 - Fairness and Competition in Supply Chains Chi Xie, The Chinese University of Hong Kong, Hong Kong, cxie@se.cuhk.edu.hk, Jin Qi, Yaozhong Wu In supply chain transactions, a retailer may exhibit fairness concerns when he compares his own profit with that of the supplier. We consider a supply chain setting where a supplier sells substitutable products through two retailers, each or both of whom have fairness concerns. We analyze how a retailer’s fairness concern affects each supply chain member’s behavior and performance. Our results show that in contrast to a non-competitive setting the impact of a retailer’s fairness on his own performance can be negative. 2 - First Discussion About the Information Sharing of Cost Management in the Horizontal Strategic Alliance under Chinese Business Environment Zhiduan Xu, Xiamen University, 422 Siming South Road, School of Management, Xiamen, 361005, China, zhiduanx@xmu.edu.cn, Danxia Guo, Yingzi Xiong, Shaoqin Ye Nowadays, horizontal strategic alliances have become a new form of organizing. The success of horizontal strategic alliance relies on information sharing, especially the area of cost management. In China, the development of horizontal strategic alliances is nascent. The horizontal strategic alliance has its own features and aims. We propose a framework on information sharing in the cost management under a horizontal strategic alliance from the perspectives of partner selecting, the system design of cost management, the protection of private knowledge. This essay cuts into a brand-new field which needs more studies and researches and offers a guide and an introduction to this new research area. 3 - An Empirical Study on Residents’ Consciousness of Use of Car-sharing Di Wang, Tianjin University, Tianjin,China, China, 1317854994@qq.com, daozhi Zhao The “Internet +” has had a revolutionary impact in all walks of life, especially in travel, the Car-sharing has become the market hot spots. In China’s big cities, there are traffic congestion, driving restriction and vehicle purchase restriction and many other conditions. However, because of Car-sharing use environmentally friendly energy, no restrictions of driving restriction and use or return it whenever you like, it solve many travel pain points and bring convenience to residents. This study seeks to empirically identify the intentions toward car-sharing by residents. Propose an integrated model combining the theory of planned behavior to examine the intentions of car-sharing by residents. 4 - Collaboration Networks in Integrated Health Care Delivery: Evidence from Accountable Care Organizations Yingchao Lan, Ohio State University, 2100 Neil Avenue, Fisher Hall 252C, Columbus, OH, 43210, United States, lan.63@osu.edu, Aravind Chandrasekaran, Daniel Walker ACOs are collaborative networks of physician practices, hospitals, and other health care providers who voluntarily take joint responsibility for the quality and cost of care for a defined patient population. Previous studies have been inconclusive on the benefits of ACOs due to their ignorance of collaboration structures. In this research, we look at two dimensions of such structures- WC25

horizontal and vertical networks. Analyzing three years of data on 2987 hospitals and 394 ACOs, we first find empirical benefits to a hospital’s decision to join ACOs. Our study further shows that such benefits are contingent on the ACO structures.

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350B Simulation and Optimization Contributed Session Chair: Yunzhe Qiu, Washington University in St. Louis, St. Louis, MO, United States, qiuyunzhe@wustl.edu 1 - Modeling Individual Fear Factor with Optimal Control in a Disease Dynamic System Yuyang Chen, PhD Student, Kansas State University, 2061 Rathbone Hall, 1701 D. Platt St., Manhattan, KS, 66502, United States, cyy@ksu.edu, Kaiming Bi, John C.Wu This research proposes a new, information-transmission-based behavior-switch that applies the individual fear factor (IFF) to describe how information regarding current disease epidemics can cause human behavior change in a disease-dynamic system. This research is a first attempt to mathematically model how an individual’s emotions influence behavior. This novel modeling approach shows that information transmission influence individual fear, resulting in a variety of human behaviors and leading to numerous disease consequences. 2 - Comparison of Static Ambulance Location Models Pieter van den Berg, Rotterdam School of Management, Burgemeester Oudlaan 50, Rotterdam, 3062 PA, Netherlands, vandenberg@rsm.nl, Theresia van Essen Over the years, several ambulance location models have been discussed in the literature. Most of these models have been further developed to take more complicated situations into account. However, the existing standard models that are often used in case studies have never been compared computationally according to the criteria used in practice. In this paper, we compare several ambulance location models on coverage and response time criteria. In addition to six standard ambulance location models from the literature, we also present four models that balance coverage and average response times. 3 - A Simulation Optimization Approach for Budget Allocation of an Emergency Department using Response Surface Methodology In this paper, we propose a simulation optimization algorithm to find the best allocation of budget in order to improve the performance of an emergency department (ED). Considering the constraints associated with budgeting, D- optimal design of response surface methodology (RSM) is employed to minimize the total system processing time and queue length for two type of patients namely outpatients and ambulance patients. The proposed simulation model is run to obtain the total processing time of the ED at current staff level. Subsequently, the D-optimal design of RSM is applied to find the best allocation of limited budget to identify the optimum staff level which leads to minimum total time and queue. 4 - A Simulation Optimization on the Hierarchical Health Care Delivery System Patient Flow Based on Multi-fidelity Models Yunzhe Qiu, Washington University in St. Louis, 1 Brookings Dr., St. Louis, MO, 63130, United States, qiuyunzhe@wustl.edu, Jie Song, Zekun Liu The imbalanced development among different levels of healthcare facilities in China’s urban healthcare system has raised the uneven patient flow distribution. We develop a method integrating the simulation, the multi-objective optimization and the simulation budget allocation together to comprehensively improve the overall system performances by finding the approximate Pareto patient flow distribution in the hierarchical healthcare system. A case study based on the real data shows the recommended Pareto optimal patient flow distribution can improve the overall hierarchical system performances and our methodology is qualified as a quantitative decision tool for decision makers. Maryam Soltanpour Gharibdosuti, Student, Binghamton university, 62 Floral Ave, Apt. 8, Binghamton, NY, 13905, United States, msoltan1@binghamton.edu, Dae Hon Won, Mahboobeh Hejazibakhsh

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