title: Performance assessment of human resource by integration of HSE and ergonomics and EFQM management system.
abstract: Purpose The purpose of this paper is to present an integrated framework for performance evaluation and analysis of human resource (HR) with respect to the factors of health, safety, environment and ergonomics (HSEE) management system, and also the criteria of European federation for quality management (EFQM) as one of the well-known business excellence models. Design/methodology/approach In this study, an intelligent algorithm based on adaptive neuro-fuzzy inference system (ANFIS) along with fuzzy data envelopment analysis (FDEA) are developed and employed to assess the performance of the company. Furthermore, the impact of the factors on the company's performance as well as their strengths and weaknesses are identified by conducting a sensitivity analysis on the results. Similarly, a design of experiment is performed to prioritize the factors in the order of importance. Findings The results show that EFQM model has a far greater impact upon the company's performance than HSEE management system. According to the obtained results, it can be argued that integration of HSEE and EFQM leads to the performance improvement in the company. Practical implications In current study, the required data for executing the proposed framework are collected via valid questionnaires which are filled in by the staff of an aviation industry located in Tehran, Iran. Originality/value Managing HR performance results in improving usability, maintainability and reliability and finally in a significant reduction in the commercial aviation accident rate. Also, study of factors affecting HR performance authorities participate in developing systems in order to help operators better manage human error. This paper for the first time presents an intelligent framework based on ANFIS, FDEA and statistical tests for HR performance assessment and analysis with the ability of handling uncertainty and vagueness existing in real world environment.
authors.affiliation: Department of Industrial Engineering, College of Engineering, University of Tehran , Tehran, Iran.
authors.forename: Mohsen
authors.initials: M
authors.lastname: Sadegh Amalnick
authors.affiliation: Department of Industrial Engineering, College of Engineering, University of Tehran , Tehran, Iran.
authors.forename: Mansour
authors.initials: M
authors.lastname: Zarrin
mesh_terms: D000465:Algorithms; D006804:Ergonomics / Q000379:methods* / Q000592:standards*; D017143:Fuzzy Logic; D006801:Humans; D007492:Iran; D007857:Leadership; D016272:Occupational Health / Q000592:standards*; D010559:Personnel Management / Q000592:standards; D057766:Policy; D058996:Quality Improvement / Q000458:organization & administration; D015203:Reproducibility of Results; D017749:Total Quality Management / Q000458:organization & administration* / Q000592:standards
keywords: ANFIS; Adaptive neuro-fuzzy inference system; Aviation industry; EFQM; European federation for quality management; FDEA; Fuzzy data-envelopment analysis; HSEE; Health; Performance-assessment and analysis; environment and ergonomics; safety