Development of a stochastic optimisation tool for solving the multiple container packing problems

Peeraya Thapatsuwan, Pupong Pongcharoen, Chris Hicks and Warattapop Chainate

International Journal of Production Economics, 2012, vol. 140, issue 2, 737-748

Abstract: Marine logistics has become increasingly important as the amount of global trade has increased. Products are usually packed in various sizes of boxes, which are then arranged into containers before shipping. Shipping companies aim to optimise the use of space when packing heterogeneous boxes into containers. The container packing problem (CPP) aims to optimise the packing of a number of rectangular boxes into a set of containers. The problems may be classified as being homogeneous (identical boxes), weakly heterogeneous (a few different sizes) or strongly heterogeneous (many different boxes). The CPP is categorised as an NP hard problem, which means that the amount of computation required to find solutions increases exponentially with problem size.

Keywords: Container packing; Artificial Immune System; Genetic Algorithm; Particle Swarm Optimisation; Parameter setting; Experimental design and analysis (search for similar items in EconPapers)
Date: 2012
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:proeco:v:140:y:2012:i:2:p:737-748

DOI: 10.1016/j.ijpe.2011.05.012

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