2019
DOI: 10.1007/s10951-019-00627-5
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Evaluating periodic rescheduling policies using a rolling horizon framework in an industrial-scale multipurpose plant

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Cited by 12 publications
(6 citation statements)
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“…In total, five alternative rescheduling policies are simulated alongside the proposed method and a benchmark scenario that constitutes the ideal scenario, meaning that there are no defects and the only events that occur are new orders. The five rescheduling policies that are used are considered as fixed periodic rescheduling policies because of the simplicity of their implementation in production systems and their high performance (Stevenson et al, 2020). These policies are divided into two categories: rescheduling occurs after every event and rescheduling occurs at certain time intervals.…”
Section: Comparison With Other Rescheduling Policiesmentioning
confidence: 99%
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“…In total, five alternative rescheduling policies are simulated alongside the proposed method and a benchmark scenario that constitutes the ideal scenario, meaning that there are no defects and the only events that occur are new orders. The five rescheduling policies that are used are considered as fixed periodic rescheduling policies because of the simplicity of their implementation in production systems and their high performance (Stevenson et al, 2020). These policies are divided into two categories: rescheduling occurs after every event and rescheduling occurs at certain time intervals.…”
Section: Comparison With Other Rescheduling Policiesmentioning
confidence: 99%
“…These policies are divided into two categories: rescheduling occurs after every event and rescheduling occurs at certain time intervals. In the latter category, four different time intervals are tested: rescheduling twice a day, every day, every 2 days, and every 3 days, of which some are widely used (Stevenson et al, 2020). For each rescheduling policy, 10 individual runs were performed, as explained in section Events Management Algorithm Analysis, to overcome the inherent randomness of generating defects and the randomness of the control factors of the developed method.…”
Section: Comparison With Other Rescheduling Policiesmentioning
confidence: 99%
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“…The same authors also propose a systematic way to design a periodic rescheduling algorithm, 4 focusing on the interval of scheduling procedures and the horizon length. Stevenson et al 8 study the effect of periodic rescheduling interval to the performance of a multipurpose production plant in different operation conditions. Dong et al 9 present a re‐optimization framework for a maritime inventory routing problem based on a discrete‐time arc‐flow formulation and stochastic simulations to account for uncertainty.…”
Section: Introductionmentioning
confidence: 99%