HSE units’ performance measurement: a hybrid model of decision making and data envelopment analysis approach

Health, safety and environment (HSE) performance measurement is one of the most important subjects in organizations. While it is commonplace to evaluate HSE performance on a personal manner which merely relies on the personal judgements, this research in contrary, aims to establish a systematic approach to address this problem. In other words, to effectively manage HSE units a proper mathematical analysis is adopted to measure the operational properties of HSE units. To do so, a three stage mathematical model is proposed in this paper (1): to identify the which factors to consider in both inputs and outputs of the HSE units (2): a grey relational analysis (GRA) - backed intuitionistic fuzzy multi criteria group decision making model (GFM) as a means to prioritize and select the most important and effective factors contributing to HSE units’ performance and (3) a data envelopment analysis (DEA) approach to assess the performance of the HSE units accordingly. Finally, a case study is considered as a real-world application and model validation. The results showed that the 13 units were performing efficiently despite the remaining 10 which demonstrated a poor operation.

Keywords:

performance assessment , data envelopment analysis , grey relational analysis , intuitionistic fuzzy multi criteria group decision making , HSE