An optimal countermeasure policy to mitigate random capacity disruptions in a production system
by Alex A. Savachkin, Niyazi Onur Bakir, Andres Uribe-Sanchez
International Journal of Agile Systems and Management (IJASM), Vol. 3, No. 1/2, 2008

Abstract: In this paper, we investigate a manufacturing system exposed to unpredicted capacity disruptions with exponentially distributed interoccurrence times and uniformly distributed magnitudes of disruptions. Each disruption renders a stepwise partial system capacity loss accumulating over time until the remaining capacity reaches a certain level, upon which the system gradually restores the lost capacity to the target level. We examine implementation of a countermeasure policy, aimed at reducing the disruption rate, for risk-neutral decision maker who seeks to maximise long-run average return. We explore how the policy of maintaining the optimal disruption rate is affected by a number of system parameters.

Online publication date: Thu, 17-Jul-2008

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