Supply Chain Complexity Measures Using Information Theory

Abstract:

One of the complexity metrics that contribute towards determination of the overall complexity of supply chains is based on so called static complexity. In this article, we firstly present an architectural framework for supply chain networks. Subsequently, selected complexity indicators based on Axiomatic Design theory and Boltzmann entropy are applied. The indicators used are benchmarked based on computational experiments. Finally, relevant conclusions are formulated.

• Periodical: Applied Mechanics and Materials (Volume 795)
• Pages: 149-156
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.795.149
• Online since: October 2015
• Authors: Vladimir Modrak*, Slavomir Bednar
• Keywords: Axiomatic Design, Boltzmann`s Entropy, Networks, Static Complexity

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