An Optimization Approach for Surgery Scheduling under Multi-Resource Constraints

Jiao Yin; Wei Xiang; Sai Feng Chen

doi:10.4028/www.scientific.net/AMM.201-202.943

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 201-202An Optimization Approach for Surgery Scheduling...

An Optimization Approach for Surgery Scheduling under Multi-Resource Constraints

Abstract:

Surgery scheduling under upstream and downstream resource constraints was described as a three-stage multi-resource constrained flexible flow-shop scheduling problem in this study and an optimization approach based on ant colony algorithm was proposed for obtaining an optimal surgery schedule with respect to minimizing the makespan. A resource selection rule and strategy of overtime judging and adjusting was designed to allocate the resources reasonably and to make the scheduling results closer to reality. Compared to actual scheduling, the computerized result shows that the improved ant colony algorithm proposed in this paper achieved good results in shortening total time and allocating resources for surgery scheduling.

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Periodical:

Applied Mechanics and Materials (Volumes 201-202)

Pages:

943-946

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.201-202.943

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Online since:

October 2012

Authors:

Jiao Yin, Wei Xiang, Sai Feng Chen

Keywords:

Ant Colony Algorithm (ACA), Flexible Flow-Shop, Multi-Resource Constraint, Surgery Scheduling

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