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An approach to optimize block surgical schedules
Authors:Sangdo Choi  Wilbert E Wilhelm
Institution:1. Department of Industrial and Systems Engineering, University of Florida, 303 Weil Hall, Gainesville, FL 32611-6565, USA;2. Department of Industrial and Systems Engineering, Texas A&M University, 3131 TAMU, College Station, TX 77843-3131, USA
Abstract:We provide an approach to optimize a block surgical schedule (BSS) that adheres to the block scheduling policy, using a new type of newsvendor-based model. We assume that strategic decisions assign a specialty to each Operating Room (OR) day and deal with BSS decisions that assign sub-specialties to time blocks, determining block duration as well as sequence in each OR each day with the objective of minimizing the sum of expected lateness and earliness costs. Our newsvendor approach prescribes the optimal duration of each block and the best permutation, obtained by solving the sequential newsvendor problem, determines the optimal block sequence. We obtain closed-form solutions for the case in which surgery durations follow the normal distribution. Furthermore, we give a closed-form solution for optimal block duration with no-shows.
Keywords:Operations research in health service  Block surgical schedule  Sequential newsvendor  Normal distribution  No-shows
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