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A computational analysis of lower bounds for big bucket production planning problems

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  • Kerem Akartunalı

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  • Andrew Miller

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Abstract

In this paper, we analyze a variety of approaches to obtain lower bounds for multi-level production planning problems with big bucket capacities, i.e., problems in which multiple items compete for the same resources. We give an extensive survey of both known and new methods, and also establish relationships between some of these methods that, to our knowledge, have not been presented before. As will be highlighted, understanding the substructures of difficult problems provide crucial insights on why these problems are hard to solve, and this is addressed by a thorough analysis in the paper. We conclude with computational results on a variety of widely used test sets, and a discussion of future research. Copyright Springer Science+Business Media, LLC 2012

Suggested Citation

  • Kerem Akartunalı & Andrew Miller, 2012. "A computational analysis of lower bounds for big bucket production planning problems," Computational Optimization and Applications, Springer, vol. 53(3), pages 729-753, December.
  • Handle: RePEc:spr:coopap:v:53:y:2012:i:3:p:729-753
    DOI: 10.1007/s10589-012-9465-z
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    References listed on IDEAS

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    Cited by:

    1. Chen, Haoxun, 2015. "Fix-and-optimize and variable neighborhood search approaches for multi-level capacitated lot sizing problems," Omega, Elsevier, vol. 56(C), pages 25-36.

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