Optimal control policy for a tool-wear process subject to shocks and random failures
Article Abstract:
An optimal control policy is determined for a tool-wear process subject to random shocks and time-dependent deterioration. The process is examined after a part is produced and the accumulated wear is observed. The optimal control policy includes minimization of the long-run expected average cost, and the structure of the policy is determined by applying results from the optimal stopping theory. The optimal policy is shown to be of a control-limit type in the homogeneous case, while for the progressive wear failure the optimal control variables are determined by solving two nonlinear equations.
Publication Name: International Journal of Production Economics
Subject: Engineering and manufacturing industries
ISSN: 0925-5273
Year: 1999
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A Bayesian approach to prediction of system failure rates by criticalities under event trees
Article Abstract:
The rates of system failures in different levels of criticality are predicted using a Bayesian approach based on a binary multi-stage event tree. The proposed approach integrates failure data in one criticality level into analyzing system failure rates in any other levels. Criticality probabilities are determined using the Beta priors and the Gamma prior distribution for the initial failure rate. The Bayesian approach is shown to be capable of updating distributions of system failure rates in various levels of criticality.
Publication Name: International Journal of Production Economics
Subject: Engineering and manufacturing industries
ISSN: 0925-5273
Year: 1999
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