An integrated intuitionistic fuzzy set and mathematical programming approach for an occupational health and safety policy


Efe B., KURT M., EFE Ö. F.

GAZI UNIVERSITY JOURNAL OF SCIENCE, cilt.30, sa.2, ss.73-95, 2017 (ESCI) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 30 Sayı: 2
  • Basım Tarihi: 2017
  • Dergi Adı: GAZI UNIVERSITY JOURNAL OF SCIENCE
  • Derginin Tarandığı İndeksler: Emerging Sources Citation Index (ESCI), Scopus
  • Sayfa Sayıları: ss.73-95
  • Anahtar Kelimeler: Risk evaluation, intuitionistic fuzzy multi-criteria group decision making, intuitionistic fuzzy set, mathematical programming, FMEA, EXTENDED VIKOR METHOD, SYSTEM FAILURE MODE, RISK-EVALUATION, DECISION-MAKING, TOPSIS, FMEA
  • Gazi Üniversitesi Adresli: Evet

Özet

This paper aims to establish an occupational health and safety policy for three firms. This paper provides to overcome the drawbacks of traditional FMEA (failure mode and effects analysis) by using an integrated intuitionistic fuzzy multi-criteria decision making method and a linear programming. Priority value of criteria has been defined by utilizing intuitionistic fuzzy analytic hierarchy process method and the highest risky failure mode among failure modes has been found by utilizing intuitionistic fuzzy VIKOR (VIsekriterijumska optimizacija i KOm-promisno Resenje). The application of risk evaluation is conducted to show the effectiveness of the proposed method in three firms. The reliability of the risk ranking is verified by helping of a sensitivity analysis and the advantages of the proposed approach are shown by comparing with the other methods. The managers of the firm present some limitations for the occupational health and safety policy so that these constraints are solved by helping of a linear programming. The results show that destroying of the existing steel ropes during production of plaster, risks that caused from work equipment and electric shock during cutting were determined the highest risky failure modes for construction, textile and metal firms, respectively.