Description: Considering the complete process of surgery including the
preoperative and postoperative stages, multiple resource constraints involved and
the integration of surgical upstream and downstream resources, surgery
scheduling was described as an extended multi-resource constrained flexible
job-shop scheduling problem and an optimization approach was proposed based
on an improved ant colony algorithm. A resource selection rule and strategy of
overtime judging and adjusting was designed, and the scheduling process with
the ant colony algorithm was realized. The case study 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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