文章基本信息

标题：Complexity Measurement in Two Supply Chains with Different Competitive Priorities
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作者：Miguel A. Sellitto ; Francesco Lolli ; Bianca Rimini 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2019
卷号：52
期号：13
页码：1699-1704
DOI：10.1016/j.ifacol.2019.11.445
语种：English
出版社：Elsevier
摘要：Complexity measurement based on the Shannon information entropy is widely used to evaluate variety and uncertainty in supply chains. However, how to use a complexity measurement to support control actions is still an open issue. This article presents a method to calculate the relative complexity, i.e., the relationship between the current and the maximum possible complexity in a Supply Chain. The method relies on unexpected information requirements to mitigate uncertainty. The article studies two real-world Supply Chains of the footwear industry, one competing by cost and quality, the other by flexibility, dependability, and innovation. The second is twice as complex as the first, showing that competitive priorities influence the complexity of the system and that lower complexity does not ensure competitivity.
关键词：KeywordsSupply ChainsComplexityComplex Adaptive SystemsDependabilityReliabilityFlexibilityInnovationVarietyUncertaintyFootwear Industry