A decision support tool for procurement planning process under uncertainty

Romain Guillaume (), Caroline Thierry () and Bernard Grabot
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Romain Guillaume: LGP - Laboratoire Génie de Production - ENIT - Ecole Nationale d'Ingénieurs de Tarbes - Toulouse INP - Institut National Polytechnique (Toulouse) - UT - Université de Toulouse, 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
Caroline Thierry: LGP - Laboratoire Génie de Production - ENIT - Ecole Nationale d'Ingénieurs de Tarbes - Toulouse INP - Institut National Polytechnique (Toulouse) - UT - Université de Toulouse
Bernard Grabot: 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

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Abstract: This communication presents a method to support the customer in the choice of a procurement plan when the gross requirements are ill-known, in a context of collaboration with the supplier. A general model of imperfect parameter representation is suggested, imperfection gathering uncertainty (through various scenarios) and imprecision (through quantities and dates expressed by possibility distribution). A method to compute the possible quantities required to satisfy the gross requirements under the supplier delivering constraints is proposed. From this value, a set of possible supplied quantities is computed to support the decision making of the customer. The decision maker then evaluates the procurement plan with the possible evolution of the inventory.

Keywords: Supply chain; Uncertainty; Collaboration; Theory of possibility (search for similar items in EconPapers)
Date: 2011-08-28
Note: View the original document on HAL open archive server: https://hal.science/hal-00952731v1
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Published in IFAC World Congress 2011, Aug 2011, Milano, Italy

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-00952731

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