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Optimization models for supply chain production planning under fuzziness

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Optimization models for supply chain production planning under fuzziness

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Mula, J.; Peidro Payá, D.; Poler, R. (2014). Optimization models for supply chain production planning under fuzziness. Studies in Fuzziness and Soft Computing. 313:397-422. doi:10.1007/978-3-642-53939-8_17

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/60011

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Title: Optimization models for supply chain production planning under fuzziness
Author:
UPV Unit: Universitat Politècnica de València. Centro de Investigación de Gestión e Ingeniería de la Producción - Centre d'Investigació de Gestió i Enginyeria de la Producció
Universitat Politècnica de València. Departamento de Organización de Empresas - Departament d'Organització d'Empreses
Issued date:
Abstract:
[EN] 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 ...[+]
Subjects: Supply chain , Production planning , Optimization , Uncertainty , Fuzziness
Copyrigths: Cerrado
Source:
Studies in Fuzziness and Soft Computing. (issn: 1434-9922 )
DOI: 10.1007/978-3-642-53939-8_17
Publisher:
Springer Verlag
Publisher version: http://dx.doi.org/10.1007/978-3-642-53939-8_17
Thanks:
This work has been funded by the Universitat Politècnica de València projects: ‘Material Requirement Planning Fourth Generation (MRPIV)’ (Ref. PAID-05-12) and ‘Quantitative Models for the Design of Socially Responsible ...[+]
Type: Artículo

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