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Advanced Decision‐Making Technique for Fire Suppression System Selection: A Case Study in the Plastic Manufacturing Industry.

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Title: Advanced Decision‐Making Technique for Fire Suppression System Selection: A Case Study in the Plastic Manufacturing Industry.
Authors: Ayyildiz, Ertugrul, Yildirim, Betul, Aydin, Nezir
Source: Fire & Materials; Aug2026, Vol. 50 Issue 5, p511-527, 17p
Subject Terms: Decision making, Multiple criteria decision making, Plastics industries, Firefighting, Firefighting equipment, Fire prevention
Abstract: Industrial facilities are environments with a high fire risk, where fires can rapidly escalate and cause significant damage if appropriate fire protection systems are not implemented. This study focuses on the critical task of selecting the most suitable fire suppression system for industrial facilities. To achieve this, we identify three main criteria—effectiveness, safety, and operational considerations—along with thirteen subcriteria to guide the selection process. The Spherical Fuzzy Analytic Hierarchic Process (SF‐AHP) method is employed to determine the weights of these criteria through expert evaluations, followed by the Spherical Fuzzy Evaluation based on Distance from Average Solution (SF‐EDAS) method to rank various fire suppression alternatives. A case study is conducted in a facility dedicated to producing plastic animal cages as a practical application of this methodology. This is a high‐risk environment due to the explosive nature of the materials used. The results highlight Reaction Time as the most critical factor, followed by Impact on Operations, Flexibility, and Personnel Protection. In this case study, the clean agent system ranked highest, demonstrating its effectiveness in meeting the facility's specific needs. The proposed approach provides valuable insights for industrial plant managers aiming to enhance fire safety and protect personnel and assets in high‐risk environments. [ABSTRACT FROM AUTHOR]
Copyright of Fire & Materials is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Complementary Index
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  Data: Advanced Decision‐Making Technique for Fire Suppression System Selection: A Case Study in the Plastic Manufacturing Industry.
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  Data: Fire & Materials; Aug2026, Vol. 50 Issue 5, p511-527, 17p
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  Data: <searchLink fieldCode="DE" term="%22Decision+making%22">Decision making</searchLink><br /><searchLink fieldCode="DE" term="%22Multiple+criteria+decision+making%22">Multiple criteria decision making</searchLink><br /><searchLink fieldCode="DE" term="%22Plastics+industries%22">Plastics industries</searchLink><br /><searchLink fieldCode="DE" term="%22Firefighting%22">Firefighting</searchLink><br /><searchLink fieldCode="DE" term="%22Firefighting+equipment%22">Firefighting equipment</searchLink><br /><searchLink fieldCode="DE" term="%22Fire+prevention%22">Fire prevention</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Industrial facilities are environments with a high fire risk, where fires can rapidly escalate and cause significant damage if appropriate fire protection systems are not implemented. This study focuses on the critical task of selecting the most suitable fire suppression system for industrial facilities. To achieve this, we identify three main criteria—effectiveness, safety, and operational considerations—along with thirteen subcriteria to guide the selection process. The Spherical Fuzzy Analytic Hierarchic Process (SF‐AHP) method is employed to determine the weights of these criteria through expert evaluations, followed by the Spherical Fuzzy Evaluation based on Distance from Average Solution (SF‐EDAS) method to rank various fire suppression alternatives. A case study is conducted in a facility dedicated to producing plastic animal cages as a practical application of this methodology. This is a high‐risk environment due to the explosive nature of the materials used. The results highlight Reaction Time as the most critical factor, followed by Impact on Operations, Flexibility, and Personnel Protection. In this case study, the clean agent system ranked highest, demonstrating its effectiveness in meeting the facility's specific needs. The proposed approach provides valuable insights for industrial plant managers aiming to enhance fire safety and protect personnel and assets in high‐risk environments. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Fire & Materials is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1002/fam.70070
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 17
        StartPage: 511
    Subjects:
      – SubjectFull: Decision making
        Type: general
      – SubjectFull: Multiple criteria decision making
        Type: general
      – SubjectFull: Plastics industries
        Type: general
      – SubjectFull: Firefighting
        Type: general
      – SubjectFull: Firefighting equipment
        Type: general
      – SubjectFull: Fire prevention
        Type: general
    Titles:
      – TitleFull: Advanced Decision‐Making Technique for Fire Suppression System Selection: A Case Study in the Plastic Manufacturing Industry.
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            – D: 01
              M: 08
              Text: Aug2026
              Type: published
              Y: 2026
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