Fuzzy Bayesian reliability and availability analysis of production systems

✍ Scribed by Latife Görkemli; Selda Kapan Ulusoy

• Publisher: Elsevier Science
• Year: 2010
• Tongue: English
• Weight: 307 KB
• Volume: 59
• Category: Article
• ISSN: 0360-8352
• DOI: 10.1016/j.cie.2010.07.020

✦ Synopsis

a b s t r a c t

To have effective production planning and control, it is necessary to calculate the reliability and availability of a production system as a whole. Considering only machine reliability in the calculations would most likely result unmet due dates. In this study, a new modelling approach for determining the reliability and availability of a production system is proposed by considering all the components of the system and their hierarchy in the system structure. Components of a production system are defined as production processes; components of the processes are defined as sub-processes. In this hierarchical structure we could model all kinds of failures such as material and supply, management and personnel, and machine and equipment. In the analysis, a fuzzy Bayesian method is used to quantify the uncertainties in the production environment. The suggested modelling approach is illustrated on an example. In the example, also a separate reliability and availability analysis is conducted which only considered machine failures, and the results of both analyses are compared.