2019
DOI: 10.1016/j.ejor.2018.11.073
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Surgery sequencing to minimize the expected maximum waiting time of emergent patients

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Cited by 19 publications
(6 citation statements)
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“…This approach is introduced by van Essen et al [14]. Vandenberghe et al extended the BIMs approach for the case that surgeries durations are stochastic with known distributions [15]. Duma and Aringhieri also use the BIMs approach in their paper [16].…”
Section: Various or Capacity Planningmentioning
confidence: 99%
“…This approach is introduced by van Essen et al [14]. Vandenberghe et al extended the BIMs approach for the case that surgeries durations are stochastic with known distributions [15]. Duma and Aringhieri also use the BIMs approach in their paper [16].…”
Section: Various or Capacity Planningmentioning
confidence: 99%
“…In a few papers, another approach for flexible OR policy is implemented, in such a way that emergency surgery can be inserted into the schedule in slack times or instead of one of the current scheduled elective surgeries.These opportunities for inserting emergencies are known as the Break-in-Moments (BIMs) [20,21]. A special case of implementing the BIMs approach, when each surgery has a stochastic duration with known distribution was studied by Vandenberghe et al [22].…”
Section: Introductionmentioning
confidence: 99%
“…This leads BIM to have a novel scheduling objective: minimizing the expected maximum time between these potential 'break-in-moments'. We have focused on solving the more general case where surgery durations are stochastic but emergency arrivals are unknown: the Stochastic Break-In-Moment (SBIM) Problem [3].…”
Section: Introductionmentioning
confidence: 99%
“…Minimizing this worst-case risk is equivalent to trying to create a schedule where completion times are uniformly spread. This means we should be able to re-use our solution methods [3] in the context of the sensitive queue process we outlined above. However there is one major difference: the standard assumption for SBIM is that tasks are preassigned to machines.…”
Section: Introductionmentioning
confidence: 99%