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Fuzzy Production Planning Model for Automobile Seat Assembling

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Soft Methods for Integrated Uncertainty Modelling

Part of the book series: Advances in Soft Computing ((AINSC,volume 37))

Abstract

Production planning consists of the simultaneous determination of the production, inventory and capacity levels of a company on a finite planning horizon with the objective of minimizing the total costs generated by production plans. Fuzzy set theory has been used to model systems that are difficult to define accurately (Bellman and Zadeh 1970; Dubois and Prade 1980; Zimmermann 1996). This theory represents an attractive tool to support the production planning research when the dynamics of the manufacturing environment limits the specification of the model objectives, constraints and parameters. Guiffrida and Nagi (1998) provide an exhaustive literature survey on the fuzzy set theory applications in production management research.

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Mula, J., Poler, R., Garcia-Sabater, J. (2006). Fuzzy Production Planning Model for Automobile Seat Assembling. In: Lawry, J., et al. Soft Methods for Integrated Uncertainty Modelling. Advances in Soft Computing, vol 37. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-34777-1_21

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  • DOI: https://doi.org/10.1007/3-540-34777-1_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34776-7

  • Online ISBN: 978-3-540-34777-4

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