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Bag rationalisation for a food manufacturer

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  • C A Glass

    (City University)

Abstract

A food manufacturer has decided to rationalise the types of bags used to pack their products with a view to achieving economies of scale and improved efficiency. Under the new regime, the name and characteristics of the product are to be printed on the bag during packaging, with the bag colour as a secondary distinctive feature. There are several ways of describing the director's conflicting objectives of minimising both cost and customer colour conflicts. We model the problem in two ways: as a Zero-One Integer Programme, and as a variant of a classical Graph Colouring Problem. Problem-specific observations, and data pre-processing, enable us to decompose the originally intractable problem, and to solve it using commercial integer programming software. Our solution compares favourably with that from a heuristic for graph colouring and our recommended allocation of eight colours was accepted for implementation.

Suggested Citation

  • C A Glass, 2002. "Bag rationalisation for a food manufacturer," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 53(5), pages 544-551, May.
  • Handle: RePEc:pal:jorsoc:v:53:y:2002:i:5:d:10.1057_palgrave.jors.2601316
    DOI: 10.1057/palgrave.jors.2601316
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    Citations

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    Cited by:

    1. M Plumettaz & D Schindl & N Zufferey, 2010. "Ant Local Search and its efficient adaptation to graph colouring," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(5), pages 819-826, May.
    2. Severino F. Galán, 2017. "Simple decentralized graph coloring," Computational Optimization and Applications, Springer, vol. 66(1), pages 163-185, January.
    3. Nicolas Zufferey & Olivier Labarthe & David Schindl, 2012. "Heuristics for a project management problem with incompatibility and assignment costs," Computational Optimization and Applications, Springer, vol. 51(3), pages 1231-1252, April.
    4. Lü, Zhipeng & Hao, Jin-Kao, 2010. "A memetic algorithm for graph coloring," European Journal of Operational Research, Elsevier, vol. 203(1), pages 241-250, May.

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