The Effects of Renewal Processes upon Stochastic Reliability Models.
Abstract
Maintenance policies for stochastically failing equipment determine the timing and extent of component replacement. The reliability of the assembly and the demands for assemblies are affected by the replacement of components. Policies may include preventive or opportunistic maintenance. A discrete-event stochastic simulation model is used to determine time related reliability and demand patterns. The model utilizes the Simscript II.5 language. The emphasis of this study is upon the transition period to include the introduction phase of new assemblies until steady state to examine aggregate mean time between failures and demands for assemblies. The assemblies modeled consisted of components with increasing, decreasing, and constant failure rates. Combinatorial assemblies employing various component failure rates are also modeled to examine the bathtub failure distribution. The data for the combination of five policies and nine type of assemblies are graphically displayed. It was discovered that certain combinations of policies and unit types produced unexpected peaks in aggregated assembly failure rates and demands. (Author)
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 01, 1976
- Accession Number
- ADA030297
Entities
People
- David H. Hartmann
- Louis A. Dugas Jr.
Organizations
- Air Force Institute of Technology