Application of Structural Equation Modeling (SEM) and an Adaptive Neuro-Fuzzy Inference System (ANFIS) for Assessment of Safety Culture: An Integrated Modeling Approach

Safety

卷:6

Waldemar Karwowski¹  Erman Çakıt²  Atsuo Murata³  Andrzej Jan Olak⁴ 

[1] Department of Industrial Engineering and Management Systems, University of Central Florida, Orlando, FL 32816-2993, USA;

[2] Department of Industrial Engineering, Gazi University, 06570 Ankara, Turkey;

[3] Department of Intelligent Mechanical Systems, Graduate School of Natural Science and Technology, Okayama University, Okayama 700-8530, Japan;

[4] The Bronisław Markiewicz State Higher School of Technology and Economics in Jarosław, 37-500 Jarosław, Poland;

关键词: modeling;    safety culture;    integrated approach;    structural equation modeling (sem);    adaptive neuro-fuzzy inference system (anfis);    hybrid approach;    japan;    petrochemical industry;   

DOI  :  10.3390/safety6010014

来源: DOAJ

【 摘 要 】

The primary purpose of this study was to apply structural equation modeling (SEM) integrated with an adaptive neuro-fuzzy inference system (ANFIS) approach to model the safety culture of the petrochemical industry of Japan. Workers from five companies located in the Chugoku region of Japan completed a paper-based survey distributed by email. SEM and ANFIS methods were integrated in order to identify and model the important factors of the safety culture. The results of SEM indicate that employee attitudes toward safety, coworker’s support, work pressure, and plant safety management systems were significant factors influencing violation behavior, personnel safety motivation, and personnel error behavior. Furthermore, the application of the ANFIS modeling approach showed that employees’ attitude was the most critical predictor of violation behavior and personnel error behavior, while coworkers support was the most critical predictor in modeling personnel safety motivation.

【 授权许可】

Unknown