Return
One-batch preempt deterioration-effect multi-state multi-rework network reliability problem and algorithms
DOI:10.1016/j.ress.2021.107883.png)
Abstract
En 中文
A rework network is a distinct multi-state network that exists in many real-life industrial manufacturing systems for fixing defective products using rework processes to improve the utility and productivity of the systems. To provide a more general model of rework networks, a novel one-batch preempt multi-state multi-rework network is proposed to achieve real-life applications without numerous impractical and unreasonable limitations. Accordingly, a new algorithm based on two different multi-state types of binary addition tree algorithms (BATs) is proposed to calculate the reliability of the proposed rework. Furthermore, the proposed BAT-based algorithm is applied to four rework problems to validate its effectiveness and performance for the rework reliability problem. An novel one-batch preempt multi-state multi-rework network model Based on the novel binary addition tree algorithms (BATs) the novel top-down deterioration-effect multi-state BAT the novel nested multi-state BAT s Helps decision makers make better decisions regarding the rework process
Keywords:
Analytical results
Discrete-event simulation
System reliability
Rework
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
R
IF:
11
Papers:
9.0K
Citations:
4.2W

