An Occupatıonal Safety Fuzzy Rısk Analysıs: an Applıcatıon in a Buıldıng Constructıon Sites

Year 2023, Volume: 19 Issue: 2, 159 - 165, 29.06.2023

Orhan Engin , Raife Canlar Durmaz

Abstract

The employers should be creating a safe workplace environment in working life. A safe working environment is one where risks are eliminated or at an acceptable level. Building works is one of the sectors with the highest number of occupational accidents. In this study, fuzzy logic is proposed to determine the risk levels with linguistic words in risk analysis, which is the most important step of the occupational health management system in the building works. In the fuzzy risk assessment, the fuzzy model was first proposed and then the risk numbers were calculated. In the research, a risk assessment was carried out using fuzzy logic method in a construction site consisting of ten blocks and twelve-storey apartments belonging to a building company. In the fuzzy risk assessment, the fuzzification of the input data, the creation of the member functions of the input and output values, and the fuzzification processes were done with the help of the fuzzy logic toolbox of the MATLAB software program. The results showed that fuzzy risk analysis is effective and credible for creating a safe building site.

Keywords

Fuzzy Logic, Occupational Safety, Risk Analysis, Building sector.

References

• Gürcanli G. E., Müngen U.2009. An occupational safety risk analysis method at construction sites using fuzzy sets, International Journal of Industrial Ergonomics; 39:371–387.
• Morote A. N., Vila F. R. 2011. A fuzzy approach to construction project risk assessment. International Journal of Project Management; 29(2) 220- 231.
• .Liu J., Martínez L., Wang H., Rodríguez R. M., Novozhilov V. 2010. Computing with Words in Risk Assessment, International Journal of Computational Intelligence Systems;3(4) 396-419.
• Lin Y.H., Lin C.C., Tyan Y.Y. 2011. An Integrated Quantıtatıve Rısk Analysıs Method for Major Construction Accidents Using Fuzzy Concepts and Influence Diagram, Journal of Marine Science and Technology; 19 (4) 383-391.
• Shiliang S., Min J., Yong L., Runqiu L. 2012. Risk assessment on falling from height based on AHP-fuzzy, Procedia Engineering 45: 112 – 118.
• Zhou J.L., Hua B. Z., Sun Z.Y. 2013. Safety Assessment of High- Risk Operations in Hydroelectric-Project Based on Accidents Analysis, SEM, and ANP, Mathematical Problems in Engineering, Article ID 530198, 12 pages.
• Ardeshir A., Amiri M., Ghasemi Y., Errington M. 2014. Risk assessment of construction projects for water conveyance tunnels using fuzzy fault tree analysis, International Journal of Civil Engineering, Transaction A: Civil Engineering, 12 (4) 396- 412.
• Debnath, J., Biswas, A. Sivan, P., Sen K. N., Sahu S. 2016. Fuzzy inference model for assessing occupational risks in construction Sites; International Journal of Industrial Ergonomics 55, 114- 128.
• Seker S., Zavadskas E. K. 2017. Application of Fuzzy DEMATEL Method for Analyzing Occupational Risks on Construction Sites, Sustainability; 9, 2083.
• Amiri, M., Ardeshir, A., Zarandi, M. H. F.2017. Fuzzy probabilistic expert system for occupational hazard assessment in construction, Safety Science 93, 16–28.
• Biswas T. K. Zaman K.2019. A Fuzzy-Based Risk Assessment Methodology for Construction Projects Under Epistemic Uncertainty, Int. J. Fuzzy Syst. 21(4):1221–1240.
• Sadeghi, H., Mohandes , S. R., Hosseini, M. R., Banihashemi , S. , Mahdiyar A., Abdullah A. 2020. Developing an Ensemble Predictive Safety Risk Assessment Model: Case of Malaysian Construction Projects, Int. J. Environ. Res. Public Health. 17, 8395
• Topal, S., Atasoylu, E. 2022. A Fuzzy Risk Assessment Model for Small Scale Construction Work. Sustainability 2022, 14, 4442.
• Anonymous, 2022. Social Security Institution, http://eski.sgk.gov.tr/wps/portal/sgk/tr/kurumsal/istatistik/sgk_istatisti k_yilliklari.
• Marhavilas P., Koulouriotis D., Mitrakas C. 2014, Fault and Event-Tree Techniques in Occupational Health-Safety Systems – Part I: Integrated Risk-Evaluation Scheme, Environmental Engineering and Management Journal, 13 (8) 2097-2108.
• Hong E. S., Lee I.M., Shin H.S., Nam S. W., Kong J.S. 2009 Quantitative risk evaluation based on event tree analysis technique: Application to the design of shield TBM, Tunnelling and Underground Space Technology 24 : 269–277.
• Anbari S. A., Khalina A., Alnuaimi A., Normariah A.,Yahya A. 2013 Safety and Health Risk Assessment at Oman Building Constructıon Projects, IJRET: International Journal of Research in Engineering and Technology, 02 (02) 571-578.
• Engin, O., Yilmaz, M. K. 2022. A fuzzy logic based methodology for multi-objective hybrid flow shop scheduling with multi-processor tasks problems and solving with an efficient genetic algorithm. Journal of Intelligent & Fuzzy Systems; 42: 451- 463.
• Sarucan, A., Baysal, M. E., Engin, O. 2022. A spherical fuzzy TOPSIS method for solving the physician selection problem. Journal of Intelligent & Fuzzy Systems; 42: 181- 194.
• Kahraman C. Kaya I., Şenvar Ö. 2013. Healthcare Failure Mode and Effects Analysis Under Fuzziness, Human and Ecological Risk Assessment 19, 538- 552.