An optimization model for container inventory management

Mark Ching-Pong Poo () and Tsz Leung Yip ()
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Mark Ching-Pong Poo: Liverpool John Moores University
Tsz Leung Yip: The Hong Kong Polytechnic University

Annals of Operations Research, 2019, vol. 273, issue 1, No 15, 433-453

Abstract: Abstract This paper formulates the empty container repositioning (ECR) problem, which is one of the most important issues in the container shipping industry, by running a model to generate the service route of feeder shipping in a dynamic environment. The objective is to reduce the disequilibrium of laden and empty containers. This paper first provides a literature review with the emphasis on the shipping scheduling and modelling of ECR. Second, a network model has been designed to find the optimum size of ship servicing a particular region. A simply ECR policy is tested to demonstrate an essential impact on the profit of a container transport system. With the aid of this heuristic shipping model, ECR is integrated with the tramp ship routing problem under dynamic condition.

Keywords: Empty container repositioning; Container inventory management; Artificial bee colony algorithm (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (4)

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DOI: 10.1007/s10479-017-2708-8

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