Integration of ill-known requirements in production planning
Romain Guillaume (),
Caroline Thierry () and
Bernard Grabot
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Romain Guillaume: IRIT-ADRIA - Argumentation, Décision, Raisonnement, Incertitude et Apprentissage - IRIT - Institut de recherche en informatique de Toulouse - UT Capitole - Université Toulouse Capitole - UT - Université de Toulouse - UT2J - Université Toulouse - Jean Jaurès - UT - Université de Toulouse - UT3 - Université Toulouse III - Paul Sabatier - UT - Université de Toulouse - CNRS - Centre National de la Recherche Scientifique - Toulouse INP - Institut National Polytechnique (Toulouse) - UT - Université de Toulouse - TMBI - Toulouse Mind & Brain Institut - UT2J - Université Toulouse - Jean Jaurès - UT - Université de Toulouse - UT3 - Université Toulouse III - Paul Sabatier - UT - Université de Toulouse, LGP - Laboratoire Génie de Production - ENIT - Ecole Nationale d'Ingénieurs de Tarbes - Toulouse INP - Institut National Polytechnique (Toulouse) - UT - Université de Toulouse
Caroline Thierry: IRIT-ADRIA - Argumentation, Décision, Raisonnement, Incertitude et Apprentissage - IRIT - Institut de recherche en informatique de Toulouse - UT Capitole - Université Toulouse Capitole - UT - Université de Toulouse - UT2J - Université Toulouse - Jean Jaurès - UT - Université de Toulouse - UT3 - Université Toulouse III - Paul Sabatier - UT - Université de Toulouse - CNRS - Centre National de la Recherche Scientifique - Toulouse INP - Institut National Polytechnique (Toulouse) - UT - Université de Toulouse - TMBI - Toulouse Mind & Brain Institut - UT2J - Université Toulouse - Jean Jaurès - UT - Université de Toulouse - UT3 - Université Toulouse III - Paul Sabatier - UT - Université de Toulouse, UT2J - Université Toulouse - Jean Jaurès - UT - Université de Toulouse
Bernard Grabot: LGP - Laboratoire Génie de Production - ENIT - Ecole Nationale d'Ingénieurs de Tarbes - Toulouse INP - Institut National Polytechnique (Toulouse) - UT - Université de Toulouse
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Abstract:
This paper addresses the integration of ill-know requirements (imprecision or uncertainty on f quantities or due dates) in a requirement plan (expressed in terms of quantities by periods). Ill-known requirements may come from a customer of the supply chain (forecast orders) or from a make-to-order production release. The types of imperfections on these requirements are analysed and a representation model based on mathematical models of uncertainty is proposed. Moreover, a method is proposed to compute the requirement plan without loss of information. This method is illustrated on an example.
Keywords: Uncertainty; Imprecision; Fuzzy logic; Possibility theory; Production planning; Requirement (search for similar items in EconPapers)
Date: 2009-07-06
Note: View the original document on HAL open archive server: https://hal.science/hal-00965903v1
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Published in International Conference on Computers & Industrial Engineering, 2009. CIE 2009, Jul 2009, Troyes, France. pp. 869-801
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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-00965903
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