QRAM a Qualitative Occupational Safety Risk Assessment Model for the construction industry that incorporate uncertainties by the use of fuzzy sets

被引:89
|
作者
Pinto, Abel [1 ]
机构
[1] Independent Safety Res Grp, Safe Work, P-2825476 Costa Da Caparica, Portugal
关键词
Qualitative risk assessment; Construction industry; Occupational safety; Fuzzy sets; Qualitative model; ACCIDENTS; BARRIERS; SYSTEMS; CLIMATE; HAZOP;
D O I
10.1016/j.ssci.2013.10.019
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Occupational safety risk assessment is the core of safety practices. Is a complex process that requires the consideration of sundry parameters, which are often difficult to quantify. This paper presents the new developed fuzzy QRAM model, which intends to support construction companies in carrying out their responsibilities to reduce occupational safety risks. The innovative aspects of QRAM model is to embody assess of the safety climate and the safety barriers effectiveness as assessment dimensions and the use of fuzzy sets theory to enhance the use of imprecise and incomplete information, elicited by linguistic variables. The QRAM model was designed based on the best academic and empirical knowledge about safety risks on construction industry, biomechanical data and laws of physics, chemistry and engineering. The lack of credible and accurate data, resulting from the in-depth investigation of work accidents in construction industry was the greatest difficulty in carry-out this work. QRAM was, firstly evaluated by "peer" review, with 12 safety experts from Brazil (2), Bulgaria (1), Greece (3), Turkey (3) and Portugal (3) and, then, appraised by comparing QRAM with 2 other occupational safety risk assessment techniques. The safety experts evaluators concluded that: (a) QRAM is a versatile tool to assess occupational safety risk assessment on construction sites; (b) the specific checklists for knowledge elicitation are a good aid and enhance the process objectivity, and (c) the use of linguistic variables is a better way to rate the risk factors thus to render the risk assessment process more objective and reliable. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:57 / 76
页数:20
相关论文
共 50 条
  • [1] Qualitative Model for Risk Assessment in Construction Industry: A Fuzzy Logic Approach
    Pinto, Abel
    Nunes, Isabel L.
    Ribeiro, Rita A.
    [J]. EMERGING TRENDS IN TECHNOLOGICAL INNOVATION, 2010, 314 : 105 - +
  • [2] A fuzzy risk assessment approach for occupational hazards in the construction industry
    Liu, Hao-Tien
    Tsai, Yieh-Iin
    [J]. SAFETY SCIENCE, 2012, 50 (04) : 1067 - 1078
  • [3] An occupational safety risk analysis method at construction sites using fuzzy sets
    Gurcanli, G. Emre
    Mungen, Ugur
    [J]. INTERNATIONAL JOURNAL OF INDUSTRIAL ERGONOMICS, 2009, 39 (02) : 371 - 387
  • [4] A Fuzzy Model for Assessing Risk of Occupational Safety in the Processing Industry
    Tadic, Danijela
    Djapan, Marko
    Misita, Mirjana
    Stefanovic, Miladin
    Milanovic, Dragan D.
    [J]. INTERNATIONAL JOURNAL OF OCCUPATIONAL SAFETY AND ERGONOMICS, 2012, 18 (02) : 115 - 126
  • [5] New model for occupational health and safety risk assessment based on Fermatean fuzzy linguistic sets and CoCoSo approach
    Chen, Qin-Yu
    Liu, Hu-Chen
    Wang, Jing-Hui
    Shi, Hua
    [J]. APPLIED SOFT COMPUTING, 2022, 126
  • [6] Occupational risk assessment in the construction industry in Iran
    Mard, Hamid Reza Seifi Azad
    Estiri, Ali
    Hadadi, Parinaz
    Mard, Mahshid Seifi Azad
    [J]. INTERNATIONAL JOURNAL OF OCCUPATIONAL SAFETY AND ERGONOMICS, 2017, 23 (04) : 570 - 577
  • [7] A model proposal for occupational health and safety risk assessment based on multi-criteria hesitant fuzzy linguistic term sets: An application in plastics industry
    Boyaci, Asli Calis
    Solmaz, Muhsin Burak
    Kabak, Mehmet
    [J]. JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY, 2021, 36 (02): : 1041 - 1053
  • [8] Occupational Safety And Risk Assessment In The Mining Industry
    Radosavljevic, Slobodan
    [J]. INTERNATIONAL JOURNAL FOR QUALITY RESEARCH, 2008, 2 (04) : 277 - 284
  • [9] Development and application of a fuzzy occupational health risk assessment model in the healthcare industry
    Chalak, Mohammad Hossein
    Kahani, A. M. I. N.
    Bahramiazar, G. H. A. S. E. M.
    Marashi, Z. O. H. R. E. H.
    Popov, Tsvetan Ivanov
    Dadipoor, S. A. R. A.
    Ahmadi, O. M. R. A. N.
    [J]. MEDICINA DEL LAVORO, 2022, 113 (04):
  • [10] Occupational risk assessment in construction industry - Overview and reflection
    Pinto, Abel
    Nunes, Isabel L.
    Ribeiro, Rita A.
    [J]. SAFETY SCIENCE, 2011, 49 (05) : 616 - 624