System Reliability Analysis with Stochastic Models

Creative Commons License

Işık K., Kapan Ulusoy S.

International Congress on Multidisciplinary Natural Sciences and Engineering, Ankara, Turkey, 1 - 02 December 2021, pp.72

  • Publication Type: Conference Paper / Summary Text
  • City: Ankara
  • Country: Turkey
  • Page Numbers: pp.72
  • Abdullah Gül University Affiliated: Yes


In today's competitive manufacturing environment, there are many factors that businesses should consider in order to maintain their position in the market. One of these is system reliability. System reliability is the possibility of systems or system components to fulfill the desired function in specified conditions within a certain time interval. A reliable manufacturing system will assure the product throughput. With system reliability analysis, it is ensured that the manufacturing machine lines stay in satisfactorily performing conditions.

Reliability is the probability that a system fulfills its intended functions under operating conditions for specified time period. To perform a system reliability analysis it is important to understand the behavior of the failure process of the system and build a stochastic model to represent this behavior. System reliability metrics such as the average time between failures, the average number of failures that occur in a certain time period, and the system availability can be estimated utilizing the stochastic model.

In this study, a stochastic model is built for a several similar machine lines by analyzing the maintenance data of them and system reliability metrics have been estimated. It has been investigated whether the current periodic maintenance plan of the company is sufficient or not, and suggestions will be given on improvement activities.

Keywords: System reliability, Reliability analysis, Stochastic models, Parametric models, Nonparametric models