Hazard analysis using a Bayesian network and linear programming

Küçük Resim Yok

Tarih

2020

Dergi Başlığı

Dergi ISSN

Cilt Başlığı

Yayıncı

Taylor & Francis Ltd

Erişim Hakkı

info:eu-repo/semantics/closedAccess

Özet

In order to make a 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 iron works in a 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. A Bayesian network is proposed to remove this problem. If there is more time and budget than planned for a process, these capacities will have to be reduced in other processes. Linear programming is proposed to remove this problem. A strong decision support system has been established by combining a Bayesian network and linear programming. A construction firm application has been demonstrated using the proposed method.

Açıklama

Anahtar Kelimeler

Bayesian Network, Linear Programming, Hazard Analysis, Construction, Occupational Health And Safety

Kaynak

International Journal Of Occupational Safety And Ergonomics

WoS Q Değeri

Q3

Scopus Q Değeri

Q2

Cilt

26

Sayı

3

Künye