2021
DOI: 10.1016/j.jclepro.2021.126489
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A new many-objective green dynamic scheduling disruption management approach for machining workshop based on green manufacturing

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Cited by 20 publications
(7 citation statements)
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References 27 publications
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“…Holistic research on waterway transportation and disruption management mainly focused on berth plan recovery and liner ship schedule recovery. Cheraghchi et al [24] concerned with speeding up strategy in vessel schedule recovery problems, modeled S-VSRP as a multiobjective optimization problem and resorted to several multi-objective evolutionary algorithms to approximate the optimal Pareto set, which provides vessel route-based speed profiles. Han et al [25] applied the dynamic disruption management method to collaboratively plan the resources of container terminals in a cyclical environment, considering the uncertainty of vessel arrival time and market demand.…”
Section: Disruption Management Applied To Water Transportationmentioning
confidence: 99%
See 1 more Smart Citation
“…Holistic research on waterway transportation and disruption management mainly focused on berth plan recovery and liner ship schedule recovery. Cheraghchi et al [24] concerned with speeding up strategy in vessel schedule recovery problems, modeled S-VSRP as a multiobjective optimization problem and resorted to several multi-objective evolutionary algorithms to approximate the optimal Pareto set, which provides vessel route-based speed profiles. Han et al [25] applied the dynamic disruption management method to collaboratively plan the resources of container terminals in a cyclical environment, considering the uncertainty of vessel arrival time and market demand.…”
Section: Disruption Management Applied To Water Transportationmentioning
confidence: 99%
“…Function (23) calculates the end time of the ship loader operation when the vessel still berths at the initial berth but is served by another ship loader. Function (24) ensures that when the vessel shift berth, the cargo required by the vessel can still be transported to this berth. Function (25) calculates the time when the vessel needs to be served by the ship loader on the corresponding berth after shifting berth.…”
Section: Soft Constraintsmentioning
confidence: 99%
“…In another study [75], a green scheduling algorithm was proposed based on an improved NSGA-II, considering makespan and energy consumption simultaneously. In Sang et al [76], a novel disruption management was proposed that comprehensively measured the deviation of disturbances, including behavioural agents and physical entities in the system. The NSGA-III-based proposed algorithm was efficiently used to optimize the disruption management model.…”
Section: Green Scheduling Problems Application Areasmentioning
confidence: 99%
“…In [28], a serial-batch delivery scheduling was developed in relation to two agents and due date assignments competing for a single machine. Authors in [29] proposed a dynamic scheduling algorithm to manage manufacturing disruption. In [30], a robust scheduling optimisation with replenishment capability was developed to resolve uncertain machine failure disruptions.…”
Section: Review On Customer Behaviour and Disruption Modelling In Com...mentioning
confidence: 99%