Reliability modeling and optimization of a two-dimensional sliding window system

Existing research on the reliability of multi-state systems concentrated on one-dimensional systems. However, many two-dimensional systems widely exist in real-world applications such as collaborative robot supported matrix production systems and touch panel systems. Motivated by these practical systems, this research studies a two-dimensional sliding window system consisting of multi-state components which fails if the cumulative performance of any sliding window cannot meet a predetermined demand. The system reliability is evaluated by extending the universal generating function technique. In order to improve the system availability, the joint optimization problem of component maintenance and allocation is further studied. A case study on a collaborative robots supported matrix automotive assembly system is presented to illustrate the proposed model and algorithm.

Automated summary

The study focuses on a two-dimensional sliding window system consisting of multi-state components, evaluating system reliability through extending the universal generating function technique. Further optimization of component maintenance and allocation is explored to enhance system availability. The proposed model and algorithm are illustrated through a case study on a collaborative robot supported matrix automotive assembly system.