Informs Annual Meeting 2017

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INFORMS Houston – 2017

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4 - Patient-centered and Personalised Scheduling of Colonoscopy Appointment Karmel Shehadeh, University of Michigan, Ann Arbor, MI, 48109, United States, ksheha@umich.edu, Amy Cohn We consider the problem of scheduling colonoscopy patients in an endoscopy unit, recognizing the impact of the quality of the pre-procedure bowel preparation that the patient must undergo in the variability of procedure duration. High-quality preparation can lead to short procedure duration while poor preparation can make the procedure much longer. Combined with patient no-show and arrivals uncertainties, this duration structure contributes to a schedule with many outliers. We use simulation and stochastic programming to analyze and improve the scheduling of colonoscopy patients. Attention is paid to the competing schedule metrics, including patient waiting, provider idle and over times 330A Minimizing Food Waste Sponsored: Manufacturing & Service Oper Mgmt Sponsored Session Chair: Dorothee Honhon, University of Texas at Dallas, Richardson, TX, 75080, United States, dorothee.honhon@utdallas.edu Co-Chair: Xiajun Amy Pan, University of Florida, Gainesville, FL, 32611-7169, United States, amy.pan@warrington.ufl.edu 1 - Package Size and Pricing Decisions with a Bulk Sale Option Ismail Kirci, University of Texas at Dallas, 800 West Campbell Road, Richardson, TX, 75080, United States, Ismail.Kirci@utdallas.edu, Dorothee Honhon, Alp Muharremoglu We investigate the package size and pricing decisions of a retailer selling a perishable product to a population of heterogeneous consumers who differ in their valuation of the product. We also study the pricing decision when the retailer sells the product in bulk and compare bulk sale with package sale in terms of retailer`s profit and consumers` waste. 2 - Food Distribution and Food Waste in Food for Education Programs Debjit Roy, Indian Institute of Management, House Number 308, IIM. Ahmedabad, Vastrapur, Ahmedabad, 560078, India, debzitt@gmail.com, Elena Belavina Mid-day meal schemes are popular government subsidized schemes run in developing economies, which incentivizes children to attend school. What factors can improve the effectiveness of such state-run food distribution schemes? We develop an empirical model to identify the factors and develop a daily demand estimation model for different school categories. 3 - Policies to Minimise Food Waste in Retail Environment Emel Aktas, Cranfield University, School of Management, Bedfordshire, Cranfield, MK43 0AL, United Kingdom, emel.aktas@cranfield.ac.uk, Akunna Oledinma, Hafize Sahin, Zahir Irani, Amir Sharif, Samsul Huda, Zeynep Topaloglu, Mehran Kamrava Food retail is one of the largest sectors both in the UK and the US. IGD predicts the UK food and grocery market to reach £200bn over the next five years. Supermarkets sell 60-90% of all fresh fruits and vegetables, with high levels of imported produce. We focus on fresh fruits and vegetables due to their high value and perishability. We build a causal loop of the fresh fruits and vegetables supply chain in Qatar, considering imported and locally grown produce, the demand, and the waste due to inefficient operational processes and consumer behavior. Using the deSolve library in R, we test inventory control policies based on service levels, lot sizes, and demand across a range of fresh produce categories. 4 - Shelf Space Optimization of Perishable Products Arzum E. Akkas, Boston University, 100 Memorial Drive, 8-11C, Cambridge, MA, 02142, United States, aakkas@bu.edu In practice, shelf lives within a product category can vary significantly due to product characteristics such as sugar content and pungency levels (e.g, 3 months versus 6 months); yet, shelf life information is not considered when configuring planograms. This paper examines the shelf space allocation problem from the perspective of the relationship between shelf life and expiration. SA09

330B Operational Issues in Organ Transplants Sponsored: Manufacturing & Service Oper Mgmt Sponsored Session Chair: Baris Ata, University of Chicago, Chicago, IL, 60637, United States, Baris.Ata@chicagobooth.edu Co-Chair: Ali Cem Randa, The University of Chicago-Booth School of Business, 5807 South Woodlawn Avenue, Chicago, IL, 60637, United States, randa@chicagobooth.edu 1 - Optimizing Simultaneous-offering Mechanism of Cadaveric Organs Tinglong Dai, Johns Hopkins University, 100 International Dr, Baltimore, MD, 21202, United States, dai@jhu.edu In this study, we consider an OPO’s problem of determining the optimal batch size of simultaneous offers made to transplantation centers. We model the strategic interaction among transplant centers both within and across batches, generating structural properties and computational insights. 2 - Patient Centered Organ Acceptance Decisions in Kidney Transplant Sanjay Mehrotra, Northwestern University, Dept of I.E./ M.S.C246 Tech Inst., 2145 Sheridan Road, Evanston, IL, 60208-3119, United States, mehrotra@iems.northwestern.edu It is not always clear if an offered kidney should be accepted by a patient. We will present results from a patient centered model for accepting an offered kidney that quantifies its benefits using a decision tree. The parameters of the tree are quantified using appropriate statistical models, which will also be presented. 3 - Personalized Wait Time Estimates for Kidney Transplant Offers Nikolaos Trichakis, Massachusetts Institute of Technology, 100 Main Street, E62-576, Cambridge, MA, 02143, United States, ntrichakis@mit.edu, Chaithanya Bandi, Phebe T. Vayanos We deal with the problem of estimating the wait time until a patient on the kidney national wait list is offered an organ of desired quality, based on the patient’s own characteristics and knowledge of the wait list status. We discuss the unique challenges this estimation problem poses, and argue that existing estimation methods are inadequate. We use a maximum likelihood process to calibrate our method, based only on data that patients observe in practice. Using highly-detailed historical data, we conduct numerical experiments that show our method to significantly outperform existing ones. 4 - An Empirical Analysis of the Effect of Kidney Allocation Policies on Patient Behavior A. Cem Randa, University of Chicago-Booth School of Business, 5807 S Woodlawn Avenue, Chicago, IL, 60637, United States, randa@chicagobooth.edu, Baris Ata Organ Procurement and Transplantation Network (OPTN) allocates deceased donor kidneys to the patients based on an additive point system. The patients accumulate points for waiting time and other factors, and organs are offered to patients according to their points. The patients carry no obligation to accept any organ offers. OPTN continuously updates the weight of factors that are affecting contributing to point system, in order to have a more effective allocation policy. However, this effort excludes the patient behavior. We will develop an empirical model to capture the affect of patient behavior in this system and evaluate different counterfactual policies empirically.

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332A Behavioral Operations in Services Sponsored: Manufacturing & Service Oper Mgmt,

Service Operations Sponsored Session Chair: Mor Armony, New York University, New York, NY, 10012, United States, marmony@stern.nyu.edu 1 - Experiment of Hospital Unit Admission Decision Behavior under Congestion Song-Hee Kim, University of Southern California, Bridge Hall 307A, Los Angeles, CA, 90089, United States, songheek@marshall.usc.edu, Jordan Tong Hospital inpatient units have limited capacity. We explore how physicians make admission decisions in order to understand how to improve this important decision-making process. Specifically, in a controlled laboratory experiment setting, we observe and compare admission decision-making behaviors based on current unit occupancy and severity of arriving patient conditions.

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