PMID- 28256928
OWN - NLM
STAT- MEDLINE
DCOM- 20171002
LR  - 20171116
IS  - 0952-6862 (Print)
IS  - 0952-6862 (Linking)
VI  - 30
IP  - 2
DP  - 2017 Mar 13
TI  - Performance assessment of human resource by integration of HSE and ergonomics and 
      EFQM management system.
PG  - 160-174
LID - 10.1108/IJHCQA-06-2016-0089 [doi]
AB  - 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.
FAU - Sadegh Amalnick, Mohsen
AU  - Sadegh Amalnick M
AD  - Department of Industrial Engineering, College of Engineering, University of 
      Tehran , Tehran, Iran.
FAU - Zarrin, Mansour
AU  - Zarrin M
AD  - Department of Industrial Engineering, College of Engineering, University of 
      Tehran , Tehran, Iran.
LA  - eng
PT  - Journal Article
PL  - England
TA  - Int J Health Care Qual Assur
JT  - International journal of health care quality assurance
JID - 8916799
MH  - *Algorithms
MH  - Ergonomics/*methods/*standards
MH  - Fuzzy Logic
MH  - Humans
MH  - Iran
MH  - Leadership
MH  - Occupational Health/*standards
MH  - Personnel Management/standards
MH  - Policy
MH  - Quality Improvement/organization & administration
MH  - Reproducibility of Results
MH  - Total Quality Management/*organization & administration/standards
OTO - NOTNLM
OT  - ANFIS
OT  - Adaptive neuro-fuzzy inference system
OT  - Aviation industry
OT  - EFQM
OT  - European federation for quality management
OT  - FDEA
OT  - Fuzzy data-envelopment analysis
OT  - HSEE
OT  - Health
OT  - Performance-assessment and analysis
OT  - environment and ergonomics
OT  - safety
EDAT- 2017/03/04 06:00
MHDA- 2017/10/03 06:00
CRDT- 2017/03/04 06:00
PHST- 2017/03/04 06:00 [entrez]
PHST- 2017/03/04 06:00 [pubmed]
PHST- 2017/10/03 06:00 [medline]
AID - 10.1108/IJHCQA-06-2016-0089 [doi]
PST - ppublish
SO  - Int J Health Care Qual Assur. 2017 Mar 13;30(2):160-174. doi: 
      10.1108/IJHCQA-06-2016-0089.