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.

Complexity measurement in two supply chains with different competitive priorities / Sellitto, M. A.; Lolli, F.; Rimini, B.; Balugani, E.. - 52:13(2019), pp. 1699-1704. ((Intervento presentato al convegno 9th IFAC Conference on Manufacturing Modelling, Management and Control, MIM 2019 tenutosi a Berlin nel 28-30 August 2019 [10.1016/j.ifacol.2019.11.445].

Complexity measurement in two supply chains with different competitive priorities

Lolli F.;Rimini B.;Balugani E.
2019

Abstract

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.
9th IFAC Conference on Manufacturing Modelling, Management and Control, MIM 2019
Berlin
28-30 August 2019
52
1699
1704
Sellitto, M. A.; Lolli, F.; Rimini, B.; Balugani, E.
Complexity measurement in two supply chains with different competitive priorities / Sellitto, M. A.; Lolli, F.; Rimini, B.; Balugani, E.. - 52:13(2019), pp. 1699-1704. ((Intervento presentato al convegno 9th IFAC Conference on Manufacturing Modelling, Management and Control, MIM 2019 tenutosi a Berlin nel 28-30 August 2019 [10.1016/j.ifacol.2019.11.445].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1199367
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