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Detecting disturbances in supply chains: the case of capacity constraints

Vinaya Shukla (Department of International Management and Innovation, Middlesex University, London, UK)
Mohamed Naim (Department of Logistics and Operations Management, Cardiff Business School, Cardiff University, Cardiff, UK)

The International Journal of Logistics Management

ISSN: 0957-4093

Article publication date: 8 May 2017

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.

Keywords

Citation

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

Publisher

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Emerald Publishing Limited

Copyright © 2017, Emerald Publishing Limited