2016 INFORMS Annual Meeting Program

WC53

INFORMS Nashville – 2016

3 - Awesome A Women In Stem Student And Faculty Organization For Small Universities And Colleges Stephany Coffman-Wolph, Assistant Professor, West Virginia University Institute of Technology, 105 Silver Maple Ridge, #5, Charleston, WV, 25305, United States, sscoffmanwolph@mail.wvu.edu AWESOME (Association for Women Engineers, Scientists, Or Mathematicians Empowerment) was started 2 years ago at WVU Tech to bring together female students and faculty for a variety of activities including: networking, outreach, speaker events, and professional development. AWESOME was designed specifically for smaller universities/colleges that may be unable to support several field-specific female organizations. This presentation describes the structure of the organization, previous and future activities, and the challenges/advantages of an inclusive and diverse STEM organization. 4 - Managing Transport Concession To Senor Citizens Narasimhan Ravichandran, Indian Institute of Management- Ahmadabad, Wing 2 D, Vastrapur, Ahmedabad, 380015, India, nravi@iimahd.ernet.in We present by a case study the challenges in administering a transport concession scheme in India for senor citizens and means to deal with them .The case can be used in a MBA class to illustrate the use of formal methods in structuring a managerial context.The teaching approach is documented as apart of the case study.Some general abstraction as how subsidy can be handled is also discussed. Chair: Hamed Kianmehr, PhD Student, Binghamton University, 142 1/2 Beethoven, Binghamton, NY, 13905, United States, hkianme1@binghamton.edu 1 - A Non-discretionary Dea Methodology For Competitive Environment Analysis In Retailing Yeming Gong, Em Lyon Business School, Building B, Office 1018, 23 Avenue Guy De Collongue, Ecully, 69134, France, gong@em-lyon.com, Jiawen Liu Competitive environment analysis is critical to global operations strategy research. We develop a non—discretionary two-stage DEA model, allowing supply chain capability as inter-temporal effects in efficiency measuring, to assess the corporate performance in retailing industry and verify the influence of the environment. Using first-hand and second-hand data of more than 100 organizations from 32 countries and regions in retailing industry, we provide a new method using non— discretionary DEA integrated with econometric analysis in competitive environment analysis for retailing supply chain strategy. 2 - Hospital Performance Evaluations In New York State Using Data Envelopment Analysis Kelly Ann Stickle, Stony Brook University, 120 Sound Beach Blvd., Sound Beach, NY, 11789, United States, Kelly.Stickle@stonybrook.edu, Thomas Raymond Sexton, Christine Pitocco With the healthcare system focused on improving quality, measuring hospital performance is essential in order to maximize efficiency and to implement improvements system wide. We use DEA to evaluate hospitals in New York State. Inputs include number of deaths, number of readmissions, and average length of stay. The sole output is the number of survivors. Site characteristics take into account the expected length of stay and total number of patients. 3 - Assessing China’s Healthcare Service Efficiency Using Improved Dynamic Data Envelopment Analysis Tao Du, Beijing Institute of Technology, Beijing, China, dutao0608@163.com We propose a DtSBM model, which has improved the existing Dynamic DEA model DSBM and more accordant with the practical situation. The model is applied for measuring the healthcare service efficiencies of China’s 31 provinces through panel data from 2008 to 2013. By measuring the DMUs’ term efficiencies and overall efficiencies, we proves the china’s new medical and health system reform, which was acted in 2009, has obvious effect. This research also results that the efficiency scores of eastern region is highest, western region is second, and the central region is lowest. According to the analysis of the inefficiency DMUs, we also figures out the improved orientations and objectives. WC53 Music Row 1- Omni DEA Contributed Session

4 - The Use Of Spatial Traffic Data For Traffic Signal Control At Signalized Intersections Pei-Shan Hsieh, Univerisy of Arizona, Tucson, AZ, 85721, United States, phsieh@email.arizona.edu, Wei-Hua Lin, Zeng Wang In this study, we consider the use of spatial data for traffic signal control at signalized intersections, replacing the conventional data sources, those generated from the existing stationary traffic surveillance systems. Time-dependent location coordinates obtained from individual vehicles are processed into information key to traffic control at signalized intersections for determining the optimal green time allocation and cycle length. 5 - A Dynamic Model of Antibiotic Prescribing for Acute Respiratory Tract Infection The emergence of antimicrobial resistant diseases has reawakened dangers of a pre-antibiotic era. The issue is largely tied to the decreased production of new classes of antibiotics and antibiotic misuse in agriculture, etc. Compounding this issue are changing guidelines for killing these evolving organisms as well as the need for greater vaccine compliance. This imminent risk highlights past and fomenting structural failures contributing to nosocomial and community associated antibiotic resistant infections. This paper seeks to evaluate the physician decision making process as a focal site for reversing antibiotic resistance trends. WC55 Music Row 3- Omni Inventory Management VX Contributed Session 1 - A Synthesis And Generalization Of Structural Results In Inventory Management: Generalized Convexity Properties Zhe Liu, Columbia University, 511 W 112th Street, Apt 24C, New York, NY, 10025, United States, zliu18@gsb.columbia.edu, Awi Federgruen, Lijian Lu Since the initiation of stochastic inventory theory, 65 years ago, a multitude of papers have addressed problems with three principal complications: (a) fixed in addition to variable order costs; (b) orders are subject to capacity limits and (c) possibly bilateral adjustments of inventories. Different papers cover a specific subset thereof, under specific restrictions. This paper addresses the fully general model, characterizing the structure of an optimal policy and identifying an associated solution method. We thus provide a unifying structure that synthesizes Hamed Kianmehr, PhD Student, Binghamton University, 142 1/2 Beethoven, Binghamton, NY, 13905, United States, hkianme1@binghamton.edu For the past century, researchers have created and studied variants of the EOQ model. One consideration that has been left relatively untouched has been the inclusion of parcel transportation costs into the lot sizing decision. Examination of the parcel rate tables for UPS and FedEx Ground shows that the rates are not linear with respect to the shipment weight. We have developed linear approximations for these rates and have examined the performance of this approximate model compared to the cost of the global optimal order quantity. We have also extended the model to consider the new dimensional pricing based on the volume of the shipment that parcel carriers have introduced in recent years. 3 - Monitoring Inventory Control Forecasting System Under Non-normal Input Noise Distributions Hoda Sabeti, West Virginia University, 390 Gilmore St., Morgantown, WV, 26505, United States, hoda.sabeti@gmail.com, Omar Ahmed Al-Shebeeb, Majid Jaridi In quantitative forecasting models and tracking signal methods, the input noise is often assumed to be normally and independently distributed. The goal in this paper is to study the distribution of tracking signal and build new monitoring schemes when the input noise distribution is not necessarily normal. To perform the analysis, we simulate a demand process in Wilson inventory model, using several input noise distributions. The effectiveness of the proposed tracking signal model is evaluated and compared to existing methods using an inventory cost model. and generalizes a seemingly disparate set of structural results. 2 - Incorporating Parcel Transportation Costs Into Lot Sizing Decisions Matthew J Drake, Associate Professor of Supply Chain Management, Duquesne University, School of Business, 925 Rockwell Hall, Pittsburgh, PA, 15282, United States, drake987@duq.edu, Adam Wenger

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