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Risks assessment in thermal power plants using ISM methodology

Author

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  • Yongbo Li

    (China University of Petroleum(East China))

  • Bathrinath Sankaranarayanan

    (Kalasalingam University)

  • D. Thresh Kumar

    (PTR Engineering College)

  • Ali Diabat

    (New York University Abu Dhabi, Saadiyat Island
    New York University)

Abstract

This paper assesses the interrelationships between hazards/risks (considered as barriers) for the effective implementation of Occupational Health and Safety (OHS) measures using Interpretive Structural Modeling (ISM). We investigate within and among hazard/risk classes and formulate a structural model that identifies and prioritizes their levels. Mitigation strategies for the identified barriers make the research outcome more useful and applicable. Results reveal that insulation failure, barrier (B7), is the most influential hazard; hence, it must be addressed first for the effective implementation of OHS measures in coal-fired thermal power plants. The second barrier in the ISM hierarchy, (B6) fire (mill/pool/jet), and additional hazards and risks require further assessment.

Suggested Citation

  • Yongbo Li & Bathrinath Sankaranarayanan & D. Thresh Kumar & Ali Diabat, 2019. "Risks assessment in thermal power plants using ISM methodology," Annals of Operations Research, Springer, vol. 279(1), pages 89-113, August.
  • Handle: RePEc:spr:annopr:v:279:y:2019:i:1:d:10.1007_s10479-018-3121-7
    DOI: 10.1007/s10479-018-3121-7
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    References listed on IDEAS

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    1. Anne-Marie Makin & Chris Winder, 2009. "Managing hazards in the workplace using organisational safety management systems: a safe place, safe person, safe systems approach," Journal of Risk Research, Taylor & Francis Journals, vol. 12(3-4), pages 329-343, June.
    2. Yi Lixin & Ge Lingling & Zhao Dong & Zhou Junxue & Gao Zhanwu, 2012. "An analysis on disasters management system in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 60(2), pages 295-309, January.
    3. Kannan, Devika, 2018. "Role of multiple stakeholders and the critical success factor theory for the sustainable supplier selection process," International Journal of Production Economics, Elsevier, vol. 195(C), pages 391-418.
    4. Madlool, N.A. & Saidur, R. & Rahim, N.A. & Kamalisarvestani, M., 2013. "An overview of energy savings measures for cement industries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 19(C), pages 18-29.
    5. Govindan, Kannan & Palaniappan, Murugesan & Zhu, Qinghua & Kannan, Devika, 2012. "Analysis of third party reverse logistics provider using interpretive structural modeling," International Journal of Production Economics, Elsevier, vol. 140(1), pages 204-211.
    6. Wu, Wei-Shing & Yang, Chen-Feng & Chang, Jung-Chuan & Château, Pierre-Alexandre & Chang, Yang-Chi, 2015. "Risk assessment by integrating interpretive structural modeling and Bayesian network, case of offshore pipeline project," Reliability Engineering and System Safety, Elsevier, vol. 142(C), pages 515-524.
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    Cited by:

    1. T. Sivageerthi & Bathrinath Sankaranarayanan & Syed Mithun Ali & Ali AlArjani & Koppiahraj Karuppiah, 2022. "Modeling Challenges for Improving the Heat Rate Performance in a Thermal Power Plant: Implications for SDGs in Energy Supply Chains," Sustainability, MDPI, vol. 14(8), pages 1-19, April.
    2. Xiaoyan Jiang & Kun Lu & Bo Xia & Yong Liu & Caiyun Cui, 2019. "Identifying Significant Risks and Analyzing Risk Relationship for Construction PPP Projects in China Using Integrated FISM-MICMAC Approach," Sustainability, MDPI, vol. 11(19), pages 1-31, September.
    3. Tino Riedel, 2024. "Addressing Challenges: Adopting Blockchain Technology in the Pharmaceutical Industry for Enhanced Sustainability," Sustainability, MDPI, vol. 16(8), pages 1-29, April.
    4. Ayushi Srivastava & Kavya Dashora, 2022. "A Fuzzy ISM approach for modeling electronic traceability in agri-food supply chain in India," Annals of Operations Research, Springer, vol. 315(2), pages 2115-2133, August.

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