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Implementing a Supply Chain Management Policy System Based on Rough Set Theory

  • Conference paper
Artificial Intelligence and Soft Computing (ICAISC 2014)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8468))

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Abstract

This paper presents a new method for raw material classification based on rough set theory. The classification method is used within the distribution network of a supply chain management system. An expert system is developed based a set of decision rules. The purpose of the expert system is to configure the distribution policies in order to reduce the transportation and storage costs as well as downtime risks.

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© 2014 Springer International Publishing Switzerland

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Piech, H., Ptak, A., Jannatpour, A. (2014). Implementing a Supply Chain Management Policy System Based on Rough Set Theory. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2014. Lecture Notes in Computer Science(), vol 8468. Springer, Cham. https://doi.org/10.1007/978-3-319-07176-3_48

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  • DOI: https://doi.org/10.1007/978-3-319-07176-3_48

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-07175-6

  • Online ISBN: 978-3-319-07176-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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