Detecting disturbances in supply chains - the case of capacity constraints

Shukla, V. and Naim, Mohamed Mohamed ORCID: https://orcid.org/0000-0003-3361-9400 2017. Detecting disturbances in supply chains - the case of capacity constraints. International Journal of Logistics Management 28 (2) , pp. 398-416. 10.1108/IJLM-12-2015-0223

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Abstract

Purpose 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. Design/methodology/approach 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. Findings 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. Originality/value 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.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Business (Including Economics) Centre for Advanced Manufacturing Systems At Cardiff (CAMSAC)
Subjects:	H Social Sciences > HD Industries. Land use. Labor
Uncontrolled Keywords:	Supply chain risk, Clustering, Disturbance detection, Capacity constraint
Publisher:	Emerald Group Publishing Limited
ISSN:	0957-4093
Date of First Compliant Deposit:	25 April 2016
Date of Acceptance:	17 April 2016
Last Modified:	07 Nov 2023 20:03
URI:	https://orca.cardiff.ac.uk/id/eprint/89945

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