Abstract
In this paper, we mainly discuss the convenience of incorporating fuzziness into material requirement planning (MRP) systems. Then, we formulate a MRP model in fuzziness environments. Customer demands and capacity data are assumed to be fuzzy, which is more appropriate in this model. Then we use a fuzzy method to solve a linear model by converting the constraints into their crisp equivalents. Finally, the proposed models are summarised and compared by highlighting the main scientific characteristics and those of the ideal application setting.
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Mula, J., Poler, R. (2010). Fuzzy Material Requirement Planning. In: Kahraman, C., Yavuz, M. (eds) Production Engineering and Management under Fuzziness. Studies in Fuzziness and Soft Computing, vol 252. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12052-7_3
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DOI: https://doi.org/10.1007/978-3-642-12052-7_3
Publisher Name: Springer, Berlin, Heidelberg
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