Citation

Efe B, Kurt M, Efe ÖF. Int. J. Occup. Safety Ergonomics 2018; ePub(ePub): 1-16.

Affiliation

Department of Occupational and Health Safety , Gümüşhane University , Gümüşhane , 29000 , Turkey , E-mail: omerfarukefe86@gmail.com.

Copyright

(Copyright © 2018, Centralny Instytut Ochrony Pracy - Państwowy Instytut Badawczy, Publisher Informa - Taylor and Francis Group)

DOI

10.1080/10803548.2018.1505805

PMID

30149784

Abstract

In order to make the system safer, it is necessary to determine which hazard should be removed by considering the interactions of all hazards in the process. In this study, the influence of the hazards related to the iron works in the construction firm is examined by Bayesian network approach. If only the most important hazard is identified and removed from the work environment, it may be erroneous to comment on the levels of the remaining hazards. Bayesian network is proposed to remove this problem in this paper. If there is more time, budget than planned for a process these capacities will have to go down in other processes. A linear programming is proposed to remove this problem. A strong decision support system has been established by combining Bayesian network and linear programming. A construction firm application has been demonstrated by using the proposed method.

Language: en

Keywords

Bayesian network; construction; hazard analysis; linear programming; occupational health and safety