2020
DOI: 10.1016/j.ejor.2019.11.067
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Optimizing pre-processing and relocation moves in the Stochastic Container Relocation Problem

Abstract: In container terminals, containers are often moved to other stacks in order to access containers that need to leave the terminal earlier. We propose a new optimization model in which the containers can be moved in two different phases: a pre-processing and a relocation phase. To solve this problem, we develop an optimal branch-and-bound algorithm. Furthermore, we develop a local search heuristic because the problem is NP-hard. Besides that, we give a rule-based method to estimate the number of relocation moves… Show more

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Cited by 16 publications
(16 citation statements)
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References 31 publications
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“…In this heuristic, we need a method to estimate the number of relocation moves for a given bay. We use the rule-based method presented in Zweers et al (2020) to obtain the estimation. The idea behind this estimation method is to use three rules to estimate the expected number of relocation moves for a single container.…”
Section: Solution Methodsmentioning
confidence: 99%
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“…In this heuristic, we need a method to estimate the number of relocation moves for a given bay. We use the rule-based method presented in Zweers et al (2020) to obtain the estimation. The idea behind this estimation method is to use three rules to estimate the expected number of relocation moves for a single container.…”
Section: Solution Methodsmentioning
confidence: 99%
“…The concept of pre-processing a container bay to reduce the number of relocation moves was first introduced by Zweers et al (2020). In this paper, the weighted sum of pre-processing moves and expected relocation moves is minimized and with that it generalizes both the SCRP and the CPMP:…”
Section: Literature Reviewmentioning
confidence: 99%
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