MIP models for production lot sizing problems with distribution costs and cargo arrangement

Flavio Molina, Reinaldo Morabito () and Silvio Alexandre de Araujo
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Flavio Molina: Universidade Federal do Triângulo Mineiro
Reinaldo Morabito: Universidade Federal de São Carlos
Silvio Alexandre de Araujo: Universidade Estadual Paulista

Journal of the Operational Research Society, 2016, vol. 67, issue 11, 1395-1407

Abstract: Abstract This study presents mixed integer programming (MIP) models for production lot sizing problems with distribution costs using unit load devices such as pallets and containers. Problems that integrate production lot sizing decisions and loading of the products in vehicles (bins) are also modelled, in which constraints such as weight limits, volume restrictions or the value of the cargo loaded in the bins are considered. In general, these problems involve a trade-off between production, inventory and distribution costs. Lot sizing decisions should take into account production capacity and product demand constraints. Distribution decisions are related to the loading and transport of products in unit load devices. The MIP models are solved by the branch-and-cut method of an optimization package and the results show that these approaches have the potential to address different practical situations.

Keywords: lot sizing; distribution costs; cargo unitization; bin packing; integrated problems (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (6)

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DOI: 10.1057/jors.2016.12

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