2016
DOI: 10.1016/j.ejor.2016.04.029
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Optimal policies for the berth allocation problem under stochastic nature

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Cited by 52 publications
(25 citation statements)
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References 35 publications
(31 reference statements)
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“…Referring only to a few selected works, the following can be mentioned. Ursavas and Zhu (2016) [33] proposed a stochastic dynamic programing approach to model the berth allocation problem and characterized optimal polices under the stochastic arrival and handling times for vessels of various classes, such as large intercontinental deep-sea vessels or feeder ships and barges. The berth allocation problem for feeder ships and large intercontinental deep-sea vessels was also examined in Emde and Boysen (2016) [34].…”
Section: Literature Reviewmentioning
confidence: 99%
“…Referring only to a few selected works, the following can be mentioned. Ursavas and Zhu (2016) [33] proposed a stochastic dynamic programing approach to model the berth allocation problem and characterized optimal polices under the stochastic arrival and handling times for vessels of various classes, such as large intercontinental deep-sea vessels or feeder ships and barges. The berth allocation problem for feeder ships and large intercontinental deep-sea vessels was also examined in Emde and Boysen (2016) [34].…”
Section: Literature Reviewmentioning
confidence: 99%
“…Lalla-Ruiz et al [22] proposed a set-partitioning-based model for BAP under time-dependent limitations. Ursavas et al [23] proposed optimal policies for the BAP under a stochastic nature. Dulebenets [24] used a novel memetic algorithm with a deterministic parameter control for efficient berth scheduling at marine container terminals.…”
Section: Berth Allocation Problem (Bap)-only Studiesmentioning
confidence: 99%
“…Inequalities (41) have the same meaning but for the last time period. Inequalities (42) and (43) enforce γ j k to zero if either β j k = 0 or β j+1 k = 1. Constraints (44) ensure that there must exist a final operating period assigned to each vessel.…”
Section: Additional Tightening With New Variablesmentioning
confidence: 99%
“…As the integrated problem is very complex many approaches consider the two problems separately. For the BAP see, for instance, [16,18,19,27,30,42,46,47]. For the QCASP see [4,13,14,15,25,28,29,32,35,38,40].…”
mentioning
confidence: 99%