A bivariate process model for maintenance and inspection planning

• Published in: International journal of pressure vessels and piping 2006-04, Vol.83 (4), p.270-275
• Main Authors: Newby, M.J., Barker, C.T.
• Format: Article
• Language: English
• Subjects: Applied sciences; Bessel process; Bivariate process; Decision theory. Utility theory; Exact sciences and technology; Fredholm equation; Industrial metrology. Testing; Mechanical engineering. Machine design; Operational research and scientific management; Operational research. Management science; Reliability theory. Replacement problems; Renewal-reward
• ISSN: 0308-0161; 1879-3541
• DOI: 10.1016/j.ijpvp.2006.02.009

The paper describes decision making about monitoring and maintenance of systems described by a general stochastic process. The system is monitored and preventive and corrective maintenance actions are carried out in response to the observed system state. The decision process is simplified by using an associated process as well as the underlying state as decision variables. The bivariate approach allows a wide class of models to be considered including long term memory within a simple probability structure. Both average cost and life-cycle cost models are used as the basis for decision making. The models generalize age replacement and other simple maintenance strategies. The approach can deal with failures that prevent the system functioning further, failures defined by regulation, or by economic considerations. The unified framework developed allows the inclusion of covariates and imperfect inspection or repair.