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Heuristic approaches to production-inventory-distribution problems in supply chains
University of Florida.
Department of Production Engineering and Management, Technical University of Crete.ORCID iD: 0000-0001-8473-3663
Department of Industrial and Systems Engineering, Center for Applied Optimization, University of Florida.
2003 (English)In: Optimization and industry :: new frontiers ; [International Conference Optimization and Industry, held in Australia in 2001] / [ed] Panos M. Pardalos, Dordrecht: Kluwer Academic Publishers, 2003, p. 15-37Conference paper, Published paper (Refereed)
Abstract [en]

In this paper we focus on global optimization issues in supply chains. We propose solution methods for production, inventory and distribution problems with fixed charge costs that arise in a supply chain. The production-inventory-distribution problem with fixed charges falls under the category of minimum concave cost network flow problems which are known to be NP-hard. We present two heuristic approaches; a dynamic slope scaling procedure (DSSP) and a greedy randomized adaptive search procedure (GRASP). DSSP and GRASP both have strong intuitive appeal and are straightforward to implement. We compare the two heuristic approaches by presenting a broad set of computational results.

Place, publisher, year, edition, pages
Dordrecht: Kluwer Academic Publishers, 2003. p. 15-37
Series
Applied Optimization, ISSN 1384-6485 ; 78
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Industrial Logistics
Identifiers
URN: urn:nbn:se:ltu:diva-40591Local ID: fc48910e-0422-4540-bf53-7a2f5e2d3ff5ISBN: 1402011873 (print)OAI: oai:DiVA.org:ltu-40591DiVA, id: diva2:1014113
Conference
International Conference Optimization and Industry : 16/07/2001 - 16/07/2001
Note
Upprättat; 2003; 20141203 (andbra)Available from: 2016-10-03 Created: 2016-10-03 Last updated: 2018-04-11Bibliographically approved

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Migdalas, Athanasios

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  • nn-NB
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  • Other locale
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Output format
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  • asciidoc
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