Decision support algorithms for optimizing surgery start times considering the performance variation

Shing Chih Tsai, Wu Hung Lin, Chia Cheng Wu, Shao Jen Weng, Ching Fen Tang

研究成果: Article同行評審

1 引文 斯高帕斯(Scopus)

摘要

In this paper, we consider a stochastic optimization model for a surgical scheduling problem with a single operating room. The goal is to determine the optimal start times of multiple elective surgeries within a single day. The term “optimal” is defined as the largest surgically related utility value while achieving a given threshold defined by the performance variation of a reference solution. The optimization problem is analytically intractable because it involves quantities such as expectation and variance formulations. This implies that traditional mathematical programming techniques cannot be directly applied. We propose a decision support algorithm, which is a fully sequential procedure using variance screening in the first phase, and then employing multiple attribute utility theory to select the best solution in the second phase. The numerical experiments show that the proposed algorithm can find a promising solution in a reasonable amount of time.

原文English
頁(從 - 到)208-221
頁數14
期刊Health Care Management Science
25
發行號2
DOIs
出版狀態Published - 2022 6月

All Science Journal Classification (ASJC) codes

  • 醫藥(雜項)
  • 一般健康專業

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