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Title: Integrated Staffing and Scheduling for Surgeries Authors: Sandeep Rath, Kumar Rajaram, Aman Mahajan

Abstract: We consider the problem of minimizing expected resource usage and overtime costs across multiple parallel resources such as anesthesiologists and operating rooms which are used to conduct a variety of surgical procedures at large multi-specialty hospitals. To address this problem, we develop a two-stage stochastic dynamic programming model with recourse. We develop a data driven robust optimization method that solves large-scale real-sized versions of this model close to optimality. We validate and implement this model as a decision support system at the UCLA Ronald Regan Medical Center. Initial testing has indicated significant cost savings. In addition, the insights based on this model have significantly influenced decision making at the operating services department at this hospital.

Bio: Sandeep Rath is a fourth year doctoral student in the Decisions, Operations and Technology Management area of UCLA Anderson Graduate School of Management. His research interest are in healthcare operations. Prior to starting his doctoral studies he has done a B.Tech and M.Tech in Electrical Engineering from I.I.T. Kharagpur and has worked in manufacturing industry in India and U.S.

integrated_staffing_and_scheduling_for_surgeries.txt · Last modified: 2016/09/01 19:15 (external edit)