Detecting disturbances in supply chains: the case of capacity constraints

Shukla, Vinaya and Naim, Mohamed M. (2017) Detecting disturbances in supply chains: the case of capacity constraints. International Journal of Logistics Management, 28 (2). pp. 398-416. ISSN 0957-4093

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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. This paper is aimed at demonstrating 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
Research Areas: A. > Business School > International Management and Innovation
Item ID: 19398
Useful Links:
Depositing User: Vinaya Shukla
Date Deposited: 19 Apr 2016 16:15
Last Modified: 26 Sep 2017 13:57
URI: http://eprints.mdx.ac.uk/id/eprint/19398

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