A matheuristic for aggregate production-distribution planning with shared resources

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

This paper discusses the aggregate production-distribution problem for a manufacturer of plastic products that are produced using injection moulding. For each product, only a single mould is available, but by exchanging moulds between plants, it is possible to produce any product at any plant. This mould sharing offers opportunities for cost savings but complicates the aggregate production-distribution planning. We present mixed integer linear programming formulations for this planning problem, and a matheuristic solution approach based on these models. The main goal of this aggregate planning tool is to quantify the opportunities that mould sharing offers to the plastics manufacturer. Computational experiments based on a real-life dataset confirm that mould sharing can reduce the production-distribution total cost with about 10%, and that the suggested matheuristic is capable of generating solutions that capture most of this significant savings potential. © 2013 Elsevier B.V.
LanguageEnglish
Pages29-37
JournalInternational Journal of Production Economics
Volume145
Issue number1
DOIs
Publication statusPublished - 2013

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Planning
Plastic products
Injection molding
Linear programming
Costs
Plastics
Shared resources
Experiments
Experiment
Injection
Aggregate planning
Savings
Mixed integer linear programming
Cost savings

Cite this

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title = "A matheuristic for aggregate production-distribution planning with shared resources",
abstract = "This paper discusses the aggregate production-distribution problem for a manufacturer of plastic products that are produced using injection moulding. For each product, only a single mould is available, but by exchanging moulds between plants, it is possible to produce any product at any plant. This mould sharing offers opportunities for cost savings but complicates the aggregate production-distribution planning. We present mixed integer linear programming formulations for this planning problem, and a matheuristic solution approach based on these models. The main goal of this aggregate planning tool is to quantify the opportunities that mould sharing offers to the plastics manufacturer. Computational experiments based on a real-life dataset confirm that mould sharing can reduce the production-distribution total cost with about 10{\%}, and that the suggested matheuristic is capable of generating solutions that capture most of this significant savings potential. {\circledC} 2013 Elsevier B.V.",
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A matheuristic for aggregate production-distribution planning with shared resources. / Raa, B; Dullaert, W.E.H.

In: International Journal of Production Economics, Vol. 145, No. 1, 2013, p. 29-37.

Research output: Contribution to JournalArticleAcademicpeer-review

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