A Sample-gradient-based Algorithm for a Multiple-OR and PACU Surgery Scheduling Problem

@inproceedings{Bai2015ASA,
  title={A Sample-gradient-based Algorithm for a Multiple-OR and PACU Surgery Scheduling Problem},
  author={Ming-guo Bai and Robert H. Storer and Gregory Tonkay},
  year={2015}
}
In this paper, we study a multiple-OR surgery scheduling problem constrained by shared PACU capacity within the block-booking framework. With surgery sequences predetermined in each OR, a Discrete Event Dynamic System (DEDS) is devised for the problem by applying the FirstCome-First-Served (FCFS) rule. A DEDS-based stochastic optimization model is formulated in order to minimize the cost incurred from patient waiting time, OR idle time, OR blocking time, OR overtime and PACU overtime. A sample… CONTINUE READING

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