Surgery Rescheduling Based on Pareto Solution Set Under Uncertain Resource

Tian-yong He () and Wei Xiang
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Tian-yong He: Ningbo University
Wei Xiang: Ningbo University

A chapter in Proceedings of 20th International Conference on Industrial Engineering and Engineering Management, 2013, pp 389-397 from Springer

Abstract: Abstract Most of surgery scheduling researches in the literature deal with the optimal surgery sequencing associated with qualified resources under deterministic resources. But there always exist some unexpected unavailability of resources in actual scheduling in hospital, such as absence of nurse and anesthetist or unavailability of facility, etc. In this situation, the original scheduling becomes infeasible. In this paper, we propose a modified ant colony algorithm based on Pareto set for multi-objective surgery rescheduling under unexpected uncertainty resource. The surgeons in surgery rescheduling are set to be consistent with the original scheduling, and the deviation of the starting time between original scheduling and rescheduling is further set to be minimized. The computational result show that our re-scheduling algorithm can achieve a satisfied solution with several measurements.

Keywords: Deviation; Multi-Object; Pareto; Uncertainty (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-40063-6_39

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DOI: 10.1007/978-3-642-40063-6_39

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