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Using Fuzzy Approach in Determining Critical Parameters for Optimum Safety Functions in Mega Projects (Case Study: Iran’s Construction Industry)

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Frontiers in Nature-Inspired Industrial Optimization

Part of the book series: Springer Tracts in Nature-Inspired Computing ((STNIC))

Abstract

The construction industry is called a high-risk industry globally, and improving safety in the construction industry has always been a significant concern in any country. A large number of investigators have studied research into the most important parameters affecting safety functions in this area. However, considering the high volume of liquidity and the large volume of mega projects, identifying the factors that affect their safety is considerable. Therefore, the primary purpose of the present research is to identify and prioritize the most important parameters that affect the safety functions of Iran. In the present investigation, various studies were carried out to investigate the effects of different factors. The most important parameters were then selected by the experts by holding an intellectual storm session and using the fuzzy Delphi method. Finally, a fuzzy AHP method has been applied to prioritize it. Weighing the identified factors was performed by distributing and collecting 28 questionnaires. Finally, the workers’ attitudes toward safety and safety equipment were identified as the key factors that affect the safety functions of the mega projects in Iran. Identifying the role and attitude of the active workers in the project as the key parameters in the performance of the safety of mega projects indicates the importance of choosing and selecting workers before entering the workshop.

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Author information

Authors and Affiliations

  1. Construction Management and Engineering, Ferdowsi University of Mashhad, Mashhad, Iran

    Moein Younesi Heravi

  2. Industrial Engineering, Ferdowsi University of Mashhad, Mashhad, Iran

    Ali Yeganeh

  3. Department of Computer Science, University of Jaen, Jaen, Spain

    Seyed Behnam Razavian

Authors
  1. Moein Younesi Heravi
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  2. Ali Yeganeh
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  3. Seyed Behnam Razavian
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Editors and Affiliations

  1. Cross labs, Cross-Compass Ltd, Osaka, Tokyo, Japan

    Mahdi Khosravy

  2. Computer Science and Engineering, Oakland University, Rochester, MI, USA

    Neeraj Gupta

  3. Computer Science and Engineering, Oakland University, Rochester, MI, USA

    Nilesh Patel

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Younesi Heravi, M., Yeganeh, A., Razavian, S.B. (2022). Using Fuzzy Approach in Determining Critical Parameters for Optimum Safety Functions in Mega Projects (Case Study: Iran’s Construction Industry). In: Khosravy, M., Gupta, N., Patel, N. (eds) Frontiers in Nature-Inspired Industrial Optimization. Springer Tracts in Nature-Inspired Computing. Springer, Singapore. https://doi.org/10.1007/978-981-16-3128-3_10

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