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A Control Engineering Approach To The Assessment Of Supply Chain Resilience

Marques, V.L., Naim, M.M. (2011) A Control Engineering Approach To The Assessment Of Supply Chain Resilience. In: 21st International Conference on Production Research. . (Unpublished) (The full text of this publication is not currently available from this repository.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:57245)

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.
Official URL:
http://toc.proceedings.com/25078webtoc.pdf

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.

Item Type: Conference or workshop item (Paper)
Uncontrolled keywords: supply chain dynamics, risk management, supply chain resilience, robustness, system dynamics
Subjects: H Social Sciences
Divisions: Divisions > Kent Business School - Division > Kent Business School (do not use)
Depositing User: Tracey Pemble
Date Deposited: 12 Sep 2016 15:22 UTC
Last Modified: 16 Nov 2021 10:23 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/57245 (The current URI for this page, for reference purposes)

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