The ability to detect disturbances quickly as they arise in a supply chain helps to manage them efficiently and effectively. The purpose of this paper is to demonstrate the feasibility of automatically and therefore quickly detecting a specific disturbance, which is constrained capacity at a supply chain echelon.
Different supply chain echelons of a simulated four echelon supply chain were individually capacity constrained to assess their impacts on the profiles of system variables, and to develop a signature that related the profiles to the echelon location of the capacity constraint. A review of disturbance detection techniques across various domains formed the basis for considering the signature-based technique.
The signature for detecting a capacity constrained echelon was found to be based on cluster profiles of shipping and net inventory variables for that echelon as well as other echelons in a supply chain, where the variables are represented as spectra.
Detection of disturbances in a supply chain including that of constrained capacity at an echelon has seen limited research where this study makes a contribution.
Shukla, V. and Naim, M. (2017), "Detecting disturbances in supply chains: the case of capacity constraints", The International Journal of Logistics Management, Vol. 28 No. 2, pp. 398-416. https://doi.org/10.1108/IJLM-12-2015-0223
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