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2014 | OriginalPaper | Buchkapitel

Optimization Models for Supply Chain Production Planning Under Fuzziness

verfasst von : Josefa Mula, David Peidro, Raúl Poler

Erschienen in: Supply Chain Management Under Fuzziness

Verlag: Springer Berlin Heidelberg

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Abstract

The aim of this chapter is to propose diverse fuzzy mathematical programming models based on the fuzzy set theory for supply chain production planning in a multi-product, multi-plant environment with fuzziness and capacity constraints. The proposed models consider fuzziness in demand and at the aspiration level of total costs. The main contribution of this chapter to the field of fuzzy sets is a practical application of flexible programming approaches (or fuzzy constraints) in linear programming with diverse aggregation schemes to the model originally proposed by McDonald and Karimi (1997)for supply chain production planning.

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Titel: Optimization Models for Supply Chain Production Planning Under Fuzziness
verfasst von: Josefa Mula
David Peidro
Raúl Poler
Verlag: Springer Berlin Heidelberg
Buch: Supply Chain Management Under Fuzziness
Print ISBN: 978-3-642-53938-1

Electronic ISBN: 978-3-642-53939-8

Copyright-Jahr: 2014
DOI: https://doi.org/10.1007/978-3-642-53939-8_17

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