Reliability Evaluation and Improvement Approach of Chemical Production Man - Machine - Environment System

1st International Conference on Frontiers of Materials Synthesis and Processing

材料科学;化学

Miao, Yongchun^1 ; Kang, Rongxue^1 ; Chen, Xuefeng^2

China Academy of Safety Science and Technology, Beijing, China^1

School of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing, China^2

关键词: Calculation results;    Chemical production;    Individual factors;    Integrated systems;    Machinery equipments;    Man-machine environment;    Man-machine-environment systems;    Reliability Evaluation;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/274/1/012004/pdf
DOI  :  10.1088/1757-899X/274/1/012004

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

In recent years, with the gradual extension of reliability research, the study of production system reliability has become the hot topic in various industries. Man-machine-environment system is a complex system composed of human factors, machinery equipment and environment. The reliability of individual factor must be analyzed in order to gradually transit to the research of three-factor reliability. Meanwhile, the dynamic relationship among man-machine-environment should be considered to establish an effective blurry evaluation mechanism to truly and effectively analyze the reliability of such systems. In this paper, based on the system engineering, fuzzy theory, reliability theory, human error, environmental impact and machinery equipment failure theory, the reliabilities of human factor, machinery equipment and environment of some chemical production system were studied by the method of fuzzy evaluation. At last, the reliability of man-machine-environment system was calculated to obtain the weighted result, which indicated that the reliability value of this chemical production system was 86.29. Through the given evaluation domain it can be seen that the reliability of man-machine-environment integrated system is in a good status, and the effective measures for further improvement were proposed according to the fuzzy calculation results.