Buku PGSD
A control engineering approach to the assessment of supply chain resilience
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.
Keywords: supply chain dynamics; risk management; supply chain resilience; robustness; system dynamics
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