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A TOC-based heuristic algorithm for solving a two-row pattern container loading problem

A TOC-based heuristic algorithm for solving a two-row pattern container loading problem The container loading problem, a real hard problem, is usually difficult to obtain even a suboptimal solution because of not only multiple complicated restrictions but also of multiple objectives. In this paper, a heuristic algorithm is proposed for solving the two-row pattern of the container loading problem in real-world. The algorithm is based on Drum-Buffer-Rope (DBR) presented in the Theory of Constraints (TOC) and the multiagent cooperative negotiation model. A particular attention is focused on improving the constrained agent by striving for the trade-off of restrictions and cooperative negotiations, so that the final solution can arrive its biggest profit. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Services Operations and Informatics Inderscience Publishers

A TOC-based heuristic algorithm for solving a two-row pattern container loading problem

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd. All rights reserved
ISSN
1741-539X
eISSN
1741-5403
Publisher site
See Article on Publisher Site

Abstract

The container loading problem, a real hard problem, is usually difficult to obtain even a suboptimal solution because of not only multiple complicated restrictions but also of multiple objectives. In this paper, a heuristic algorithm is proposed for solving the two-row pattern of the container loading problem in real-world. The algorithm is based on Drum-Buffer-Rope (DBR) presented in the Theory of Constraints (TOC) and the multiagent cooperative negotiation model. A particular attention is focused on improving the constrained agent by striving for the trade-off of restrictions and cooperative negotiations, so that the final solution can arrive its biggest profit.

Journal

International Journal of Services Operations and InformaticsInderscience Publishers

Published: Jan 1, 2007

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