Performance assessment and optimization of HSE management systems with human error and ambiguity by an integrated fuzzy multivariate approach in a large conventional power plant manufacturer

This study presents an integrated approach performance assessment and optimization of integrated health safety environment (HSE) management system-based on fuzzy data envelopment analysis (FDEA) considering the possible human error and data vagueness in a conventional power plant manufacturer. In doing so, it corresponds and integrates its registered HSE-MS with OHSAS 18001:2007 and ISO 14001:2004 to evaluate multiple inputs and outputs of over 35 subsidiary HSE divisions with parallel mission and objectives simultaneously. The HSE divisions of each subsidiary are considered as decision making units (DMUs). Not only doing this refutable method rank their relevant performance efficiencies in certain and uncertain conditions, but also it determines efficient target indices for each DMU, and could assure continuous improvement in the organization. This would help managers to identify the areas of strengths and weaknesses in their HSE management system and set improvement target plan for the related HSE management system. In this model based on Deming’s continuous improvement cycle, managers are also able to evaluate the prevailing strengths and weaknesses and target their improvement strategies at the relevant stages of the cycle.

► This study presents an integrated approach for performance optimization of HSE-MS with human error and ambiguity.
► It uses both DEA and FDEA in a conventional power plant manufacturer.
► This would help managers to identify the areas of strengths and weaknesses.
► Based on Deming’s continuous improvement cycle, managers are also able to target their improvement strategies at the relevant stages of the cycle.
► This study for the first time presents an integrated approach for performance assessment of integrated HSE-MS.