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A control engineering approach to the assessment of supply chain resilience

Spiegler, V.L.M., Naim, M.M., Wikner, J. (2012) A control engineering approach to the assessment of supply chain resilience. International Journal of Production Research, 50 (21). pp. 6162-6187. ISSN 0020-7543. E-ISSN 1366-588X. (doi:10.1080/00207543.2012.710764) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:56716)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
http://dx.doi.org/10.1080/00207543.2012.710764

Abstract

There is no consensus on the supply chain management definition of resilience. To aid in evaluating the dynamic behaviour of such systems we need to establish clearly elucidated performance criteria that encapsulate the attributes of resilience. A literature review establishes the latter as readiness, responsiveness and recovery. We also identify robustness as a necessary condition that would complement resilience. We find that the Integral of the Time Absolute Error (ITAE) is an appropriate control engineering measure of resilience when it is applied to inventory levels and shipment rates. We use the ITAE to evaluate an often used benchmark model of make-to-stock supply chains consisting of three decision parameters. We use both linear and nonlinear forms of the model in our evaluation. Our findings suggest that optimum solutions for resilience do not yield a system that is robust to uncertainties in lead-time. Hence supply chains will experience drastic changes in their resilience performance when lead-time changes. © 2012 Copyright Taylor and Francis Group, LLC.

Item Type: Article
DOI/Identification number: 10.1080/00207543.2012.710764
Uncontrolled keywords: Risk management, Robustness, supply chain dynamics, Supply chain resilience, System dynamics, Absolute error, Benchmark models, Control engineering, Decision parameters, Dynamic behaviours, Inventory levels, Leadtime, Literature reviews, Make-to-stock, Optimum solution, Performance criterion, Shipment rate, Supply chain dynamics, System Dynamics, Risk management, Robustness (control systems), Supply chain management, Production control
Subjects: H Social Sciences
Divisions: Faculties > Social Sciences > Kent Business School > Management Science
Faculties > Social Sciences > Kent Business School > Centre for Logistics and Heuristic Organisation (CLHO)
Depositing User: Virginia Spiegler
Date Deposited: 02 Aug 2016 09:19 UTC
Last Modified: 01 Aug 2019 10:40 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/56716 (The current URI for this page, for reference purposes)
Spiegler, V.L.M.: https://orcid.org/0000-0002-7130-3151
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