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Integration of uncertain and imprecise orders in the MRP method

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Abstract

Nowadays, one of the main difficulties of Production Management is to take into account the increasing uncertainty of the customer demand. In an MRP system, this uncertainty is mainly managed at middle term and through successive actualizations of the planning. We suggest in this paper a way to explicitly model the uncertainty and imprecision of the demand allowing to pass through all the MRPII steps (Material Requirement Planning, Load Planning, Scheduling). This method, named Fuzzy-MRP (F-MRP) allows to visualize at each step a much more rich information for the decision makers, taking into account not only the certain data but also a quantification of the various eventualities that may arise. Decisions requiring a long preparation (sub-contracting, order of components, increase of capacity, etc.) can so be considered earlier, on the base of quantified data.

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Authors and Affiliations

  1. Ecole Nationale d’Ingénieurs de Tarbes 47, avenue Azereix, BP 1629, F-65016, Tarbes cedex, France

    Bernard Grabot, Laurent Geneste, Gabriel Reynoso-Castillo & Sophie Vérot

  2. Department of Applied Engineering, Panamerican University Augusto Rodin # 498 Col, Insurgentes Mixcoac C.P. 03920, México D. F, México

    Gabriel Reynoso-Castillo

Authors
  1. Bernard Grabot
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  2. Laurent Geneste
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  3. Gabriel Reynoso-Castillo
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  4. Sophie Vérot
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Correspondence to Bernard Grabot.

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Grabot, B., Geneste, L., Reynoso-Castillo, G. et al. Integration of uncertain and imprecise orders in the MRP method. J Intell Manuf 16, 215–234 (2005). https://doi.org/10.1007/s10845-004-5890-x

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  • DOI: https://doi.org/10.1007/s10845-004-5890-x

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