Reliability of manufacturing equipment in complex environments

We present two stochastic failure models for the reliability evaluation of manufacturing equipment that degrades due to its complex operating environment. The first model examines the case when the environment is a temporally nonhomogeneous continuous-time Markov chain, and the second assumes the en...

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Veröffentlicht in:	Annals of operations research 2013-10, Vol.209 (1), p.231-254
Hauptverfasser:	Kharoufeh, Jeffrey P., Cox, Steven M., Oxley, Mark E.
Format:	Artikel
Sprache:	eng
Schlagworte:	Business and Management Combinatorics Degradation Failure Failure mode and effects analysis Industrial equipment Laplace transforms Manufacturing Manufacturing processes Markov analysis Markov chains Mathematical analysis Operations research Operations Research/Decision Theory Partial differential equations Production management Random variables Reliability Reliability (Engineering) Stochastic analysis Stochastic models Stochasticity Studies Theory of Computation Transforms
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Beschreibung
Zusammenfassung:	We present two stochastic failure models for the reliability evaluation of manufacturing equipment that degrades due to its complex operating environment. The first model examines the case when the environment is a temporally nonhomogeneous continuous-time Markov chain, and the second assumes the environment is a temporally homogeneous semi-Markov process on a finite space. Derived are transform expressions for the lifetime distributions. A few examples are provided to illustrate the main results.
ISSN:	0254-5330 1572-9338
DOI:	10.1007/s10479-011-0839-x