PMID- 26106505
OWN - NLM
STAT- PubMed-not-MEDLINE
DCOM- 20150624
LR  - 20200930
IS  - 2093-7911 (Print)
IS  - 2093-7997 (Electronic)
IS  - 2093-7911 (Linking)
VI  - 6
IP  - 2
DP  - 2015 Jun
TI  - An Efficient Taguchi Approach for the Performance Optimization of Health, Safety, 
      Environment and Ergonomics in Generation Companies.
PG  - 77-84
LID - 10.1016/j.shaw.2014.11.001 [doi]
AB  - BACKGROUND: A unique framework for performance optimization of generation 
      companies (GENCOs) based on health, safety, environment, and ergonomics (HSEE) 
      indicators is presented. METHODS: To rank this sector of industry, the 
      combination of data envelopment analysis (DEA), principal component analysis 
      (PCA), and Taguchi are used for all branches of GENCOs. These methods are applied 
      in an integrated manner to measure the performance of GENCO. The preferred model 
      between DEA, PCA, and Taguchi is selected based on sensitivity analysis and 
      maximum correlation between rankings. To achieve the stated objectives, noise is 
      introduced into input data. RESULTS: The results show that Taguchi outperforms 
      other methods. Moreover, a comprehensive experiment is carried out to identify 
      the most influential factor for ranking GENCOs. CONCLUSION: The approach 
      developed in this study could be used for continuous assessment and improvement 
      of GENCO's performance in supplying energy with respect to HSEE factors. The 
      results of such studies would help managers to have better understanding of weak 
      and strong points in terms of HSEE factors.
FAU - Azadeh, Ali
AU  - Azadeh A
AD  - School of Industrial and Systems Engineering and Center of Excellence for 
      Intelligent Based Experimental Mechanics, College of Engineering, University of 
      Tehran, Iran.
FAU - Sheikhalishahi, Mohammad
AU  - Sheikhalishahi M
AD  - Centre for Industrial Management/Traffic and Infrastructure, KU Leuven, Heverlee, 
      Belgium ; School of Industrial and Systems Engineering and Center of Excellence 
      for Intelligent Based Experimental Mechanics, College of Engineering, University 
      of Tehran, Iran.
LA  - eng
PT  - Journal Article
DEP - 20141218
PL  - Korea (South)
TA  - Saf Health Work
JT  - Safety and health at work
JID - 101542940
PMC - PMC4476202
OTO - NOTNLM
OT  - Taguchi methods
OT  - data envelopment analysis
OT  - generation companies
OT  - health, safety, environment, and ergonomics
OT  - performance optimization
EDAT- 2015/06/25 06:00
MHDA- 2015/06/25 06:01
PMCR- 2014/12/18
CRDT- 2015/06/25 06:00
PHST- 2014/07/24 00:00 [received]
PHST- 2014/11/08 00:00 [revised]
PHST- 2014/11/29 00:00 [accepted]
PHST- 2015/06/25 06:00 [entrez]
PHST- 2015/06/25 06:00 [pubmed]
PHST- 2015/06/25 06:01 [medline]
PHST- 2014/12/18 00:00 [pmc-release]
AID - S2093-7911(14)00094-8 [pii]
AID - 10.1016/j.shaw.2014.11.001 [doi]
PST - ppublish
SO  - Saf Health Work. 2015 Jun;6(2):77-84. doi: 10.1016/j.shaw.2014.11.001. Epub 2014 
      Dec 18.