Risk Assessment Using Fuzzy TOPSIS and PRAT for Sustainable Engineering Projects

In this study, we propose a safety risk assessment process using the fuzzy extension of the technique for order of preference by similarity to ideal solution (TOPSIS) for assigning priorities to risks in worksites, in order to promote the health, safety and well-being of workers, issues that are embedded within the concept of sustainability, specifically belonging to the social sphere of sustainability. The multicriteria method works in cooperation with a simple quantitative risk analysis and assessment process, the proportional risk assessment technique (PRAT), the functionality of which is based on real data. The efficiency of this approach is validated through treating a construction project example in Greece, and the results are compared with real fatal and non-fatal accidents data for the years 2014–2016. This integrated multicriteria approach can be used by risk managers as a tool for assessing safety risks and making informed decisions about the manner that a constraint budget would be spent in order to maximize health and safety in workplace.

[1]  Floris Goerlandt,et al.  Validity and validation of safety-related quantitative risk analysis , 2016 .

[2]  S A Jozi,et al.  Health, safety, and environmental risk assessment of steel production complex in central Iran using TOPSIS , 2014, Environmental Monitoring and Assessment.

[3]  P. K. Marhavilas,et al.  Risk analysis and assessment in the worksites using the fuzzy-analytical hierarchy process and a quantitative technique – A case study for the Greek construction sector , 2019, Safety Science.

[4]  Dimitrios E. Koulouriotis,et al.  A risk-estimation methodological framework using quantitative assessment techniques and real accidents' data : Application in an aluminum extrusion industry , 2008 .

[5]  Beatrice Lazzerini,et al.  A semi-supervised learning-aided evolutionary approach to occupational safety improvement , 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

[6]  Seyed Ali Jozi,et al.  Environmental Risk Assessment of Dams in Construction Phase Using a Multi-Criteria Decision-Making (MCDM) Method , 2015 .

[7]  Yacov Y Haimes,et al.  Risk Assessment of Infrastructure System of Systems with Precursor Analysis , 2016, Risk analysis : an official publication of the Society for Risk Analysis.

[8]  Murat Gunduz,et al.  Safety risk assessment using analytic hierarchy process (AHP) during planning and budgeting of construction projects. , 2013, Journal of safety research.

[9]  Akbar Esfahanipour,et al.  Human health and safety risks management in underground coal mines using fuzzy TOPSIS. , 2014, The Science of the total environment.

[10]  Abdelwaheb Rebai,et al.  BBTOPSIS: a bag based technique for order preference by similarity to ideal solution , 1993 .

[11]  Vitor Sousa,et al.  Risk-based management of occupational safety and health in the construction industry – Part 1: Background knowledge , 2014 .

[12]  Byung-Wan Jo,et al.  Trend Analysis of Construction Industrial Accidents in Korea from 2011 to 2015 , 2017 .

[13]  Dimitrios E. Koulouriotis,et al.  International Occupational Health and Safety Management-Systems Standards as a Frame for the Sustainability: Mapping the Territory , 2018, Sustainability.

[14]  Chen-Tung Chen,et al.  Extensions of the TOPSIS for group decision-making under fuzzy environment , 2000, Fuzzy Sets Syst..

[15]  Matt Anderson Corporate social responsibility: a business contribution to sustainable development. , 2014 .

[16]  Mamata Jenamani,et al.  Risk assessment of outsourcing e-procurement services: integrating SWOT analysis with a modified ANP-based fuzzy inference system , 2016 .

[17]  Mu’azu Mohammed Abdullahi,et al.  DEMATEL-ANP Risk Assessment in Oil and Gas Construction Projects , 2017 .

[18]  Dimitris E. Koulouriotis,et al.  Harmonic analysis of occupational-accident time-series as a part of the quantified risk evaluation in worksites: Application on electric power industry and construction sector , 2013, Reliab. Eng. Syst. Saf..

[19]  Olga N. Aneziris,et al.  Occupational risk of building construction , 2012, Reliab. Eng. Syst. Saf..

[20]  M. Ramkumar,et al.  A modified ANP and fuzzy inference system based approach for risk assessment of in-house and third party e-procurement systems , 2016 .

[21]  Vitor Sousa,et al.  Risk-based management of occupational safety and health in the construction industry – Part 2: Quantitative model , 2015 .

[22]  Ching-Lai Hwang,et al.  A new approach for multiple objective decision making , 1993, Comput. Oper. Res..

[23]  Guiwu Wei,et al.  Research on Construction Engineering Project Risk Assessment with Some 2-Tuple Linguistic Neutrosophic Hamy Mean Operators , 2018 .

[24]  P. K. Marhavilas,et al.  Developing a new alternative risk assessment framework in the work sites by including a stochastic and a deterministic process: A case study for the Greek Public Electric Power Provider , 2012 .

[25]  T. Yiu,et al.  A new approach to predict safety outcomes in the construction industry , 2018, Safety Science.