Journal of Loss Prevention in The Process Industries, Vol.27, 32-41, 2014
Continuous performance assessment and improvement of integrated HSE and maintenance systems by multivariate analysis in gas transmission units
In this study, an integrated "Health, Safety, and Environment (HSE)" and maintenance systems are presented. Multivariate analysis is used for continuous performance assessment and improvement of these systems. The two subjects of "Maintenance System" and "HSE" have been individually investigated several times in different studies. However, few studies have been done to integrate these two systems and provide an integrated system for their implementation. This study evaluates current maintenance and HSE systems of a Gas Transmission Unit by Data Envelopment Analysis (DEA) and Principal Component Analysis (PCA). Moreover, decision making units (DMUs) are examined and ranked. Employees are considered as DMUs. This is done through investigating and measuring their efficiencies and identifying the inefficient and less-efficient units. Since an increase in the number of inputs does not lead to an increase in the number of outputs with the same scale, an output-oriented DEA with a Variable Returns to Scale (VRS) is used. The Fuzzy DEA (FDEA) is also used in this research to decrease uncertainty existing in qualitative indicators and human error. Finally, suggestions are given to improve those DMUs. The managers and employees of the gas transmission unit constitute the statistical population of the study. To achieve the objectives of this study, standard questionnaires with respect to HSE and Maintenance system are completed by operators. The proposed approach would help policy makers and top managers of Gas Transmission Company to have a more comprehensive and thorough understanding the working conditions with respect to the maintenance and HSE features. (C) 2013 Elsevier Ltd. All rights reserved.
Keywords:Maintenance system;Health;Safety;Environment (HSE);Performance assessment;Data Envelopment Analysis (DEA);Principal Component Analysis (PCA);Fuzzy data envelopment analysis (FDEA)