Operational Reliability Evaluation Method of Production Systems Based on Multistate Production Network

Author(s):  
Xiao-Dong Wang ◽  
Jin-Cheng Wang ◽  
Tie-Fei Ma ◽  
Han-Xi Wang ◽  
Zhao-Jun Hao
Author(s):  
Shih-Wan Sun ◽  
Ping-Chen Chang ◽  
Yi-Kuei Lin

Effectively assessing and improving production systems in different scenarios are critical for the management of production processes. This paper proposes a new approach that takes process improvement into consideration to evaluate system reliability. The system reliability is defined as the probability that the volume of input processed successfully through the individual workstations within a production system. This system reliability evaluation approach models the production system as a confidence-based multistate production network (CP-MPN). The discrete-time Markov chain is adopted to feature the CP-MPN, and the target success rate (TSR) is set as a reference to achieve the purpose of process improvement of each workstation. Our results indicate that, when the TSR is improved, the CP-MPN can meet both the given demand and confidence level with less input. This curtailed input volume diminishes the loadings of workstations so that the system reliability of the CP-MPN can be enhanced. Two examples (a tile production system and a printed circuit board (PCB) production system) are presented to demonstrate the confidence-based reliability evaluation approach and prove our results. This paper provides not only a practicable method to evaluate system reliability that includes the process improvement perspective but also a workable indicator to guide production managers to improve the quality of workstations.


2013 ◽  
Vol 805-806 ◽  
pp. 725-729
Author(s):  
Zi Xue Guo ◽  
Nan Nan Liu ◽  
Xin Lu

The thermal power units operational reliability is the fundamental guarantee of smooth operation of electricity system. According to the problem of thermal power units operational reliability evaluation, a comprehensive evaluation method is put forward based on grey fuzzy theory. Firstly, this paper establishes an evaluation index system by the analysis of factors affecting the reliability of thermal power units. And then a reliability evaluation model of thermal power units operation is built based on grey fuzzy comprehensive evaluation which combined with the grey cluster theory and the fuzzy algorithm. At last, the numerical example is shown to verify the feasibility of the grey fuzzy comprehensive evaluation method.


Author(s):  
Yasunobu Iwai ◽  
Koichi Shinozaki ◽  
Daiki Tanaka

Abstract Compared with space parts, consumer parts are highly functional, low cost, compact and lightweight. Therefore, their increased usage in space applications is expected. Prior testing and evaluation on space applicability are necessary because consumer parts do not have quality guarantees for space application [1]. However, in the conventional reliability evaluation method, the test takes a long time, and the problem is that the robustness of the target sample can’t be evaluated in a short time. In this report, we apply to the latest TSOP PEM (Thin Small Outline Package Plastic Encapsulated Microcircuit) an evaluation method that combines preconditioning and HALT (Highly Accelerated Limit Test), which is a test method that causes failures in a short time under very severe environmental conditions. We show that this method can evaluate the robustness of TSOP PEMs including solder connections in a short time. In addition, the validity of this evaluation method for TSOP PEM is shown by comparing with the evaluation results of thermal shock test and life test, which are conventional reliability evaluation methods.


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