IDEAS home Printed from https://ideas.repec.org/a/spr/ijsaem/v10y2019i2d10.1007_s13198-019-00774-0.html
   My bibliography  Save this article

An algorithm for performance evaluation of resilience engineering culture based on graph theory and matrix approach

Author

Listed:
  • Masoud Rabbani

    (University of Tehran)

  • Reza Yazdanparast

    (University of Tehran)

  • Mahdi Mobini

    (The University of British Columbia)

Abstract

While strengths can be improved, when weaknesses are not addressed, the desired improvements are not achievable. Determining weaknesses and strengths is much more important when it comes to safety issues in critical industrial units. Oil, gas and petrochemical industry is the main pillar of the economy in Iran. Not only most of the oil, gas and petrochemical infrastructure in Iran are old and worn-out, but also the safety management practices are not adequate. Resilience engineering is a growing concept toward proactive and preventive safety and performance improvement in critical industrial units. This study presents a new algorithm for performance evaluation of resilience engineering culture in critical industrial units. A petrochemical plant is considered as a real-life case study to demonstrate the application of the proposed methodology. The presented algorithm is based on graph theory, statistical methods, and matrix algebra which offer some desirable properties for modeling and solving complex decision-making problems and considers the interactions between factors. To the best of our knowledge, this is the first study that proposes a performance evaluation algorithm based on graph theory and matrix approach.

Suggested Citation

  • Masoud Rabbani & Reza Yazdanparast & Mahdi Mobini, 2019. "An algorithm for performance evaluation of resilience engineering culture based on graph theory and matrix approach," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 10(2), pages 228-241, April.
  • Handle: RePEc:spr:ijsaem:v:10:y:2019:i:2:d:10.1007_s13198-019-00774-0
    DOI: 10.1007/s13198-019-00774-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13198-019-00774-0
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s13198-019-00774-0?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Azadeh, A. & Ghaderi, S.F. & Anvari, M. & Saberi, M., 2007. "Performance assessment of electric power generations using an adaptive neural network algorithm," Energy Policy, Elsevier, vol. 35(6), pages 3155-3166, June.
    2. Yacov Y. Haimes, 2009. "On the Complex Definition of Risk: A Systems‐Based Approach," Risk Analysis, John Wiley & Sons, vol. 29(12), pages 1647-1654, December.
    3. Adil Baykasoglu & Erdogan Ozbay & M. Tolga Gogus & Ahmet Oztas, 2009. "Contractor selection with Multi Criteria Decision Support tools," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 4(2), pages 174-197.
    4. Domínguez-García, Alejandro D. & Kassakian, John G. & Schindall, Joel E. & Zinchuk, Jeffrey J., 2008. "An integrated methodology for the dynamic performance and reliability evaluation of fault-tolerant systems," Reliability Engineering and System Safety, Elsevier, vol. 93(11), pages 1628-1649.
    5. Shirali, Gh.A. & Mohammadfam, I. & Ebrahimipour, V., 2013. "A new method for quantitative assessment of resilience engineering by PCA and NT approach: A case study in a process industry," Reliability Engineering and System Safety, Elsevier, vol. 119(C), pages 88-94.
    6. Zhong, Wei & Yuan, Wei & Li, Susan X. & Huang, Zhimin, 2011. "The performance evaluation of regional R&D investments in China: An application of DEA based on the first official China economic census data," Omega, Elsevier, vol. 39(4), pages 447-455, August.
    7. Zhongbao Zhou & Mei Wang & Hui Ding & Chaoqun Ma & Wenbin Liu, 2013. "Further study of production possibility set and performance evaluation model in supply chain DEA," Annals of Operations Research, Springer, vol. 206(1), pages 585-592, July.
    8. Ahmad Dehghan Nejad & Reza Gholamnia & Ahmad Alibabaee, 2017. "A new framework to model and analyze organizational aspect of safety control structure," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(2), pages 1008-1025, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kenneth Martínez & David Claudio, 2023. "Expanding Fundamental Boundaries between Resilience and Survivability in Systems Engineering: A Literature Review," Sustainability, MDPI, vol. 15(6), pages 1-27, March.
    2. Seyed Mohammad Asadzadeh & Hadi Maleki & Mehrab Tanhaeean, 0. "A resilience engineering-based approach to improving service reliability in maintenance organizations," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 0, pages 1-14.
    3. Seyed Mohammad Asadzadeh & Hadi Maleki & Mehrab Tanhaeean, 2020. "A resilience engineering-based approach to improving service reliability in maintenance organizations," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(5), pages 909-922, October.
    4. Sungheon Lee & Jaehyun Kim & Awwal M. Arigi & Jonghyun Kim, 2022. "Identification of Contributing Factors to Organizational Resilience in the Emergency Response Organization for Nuclear Power Plants," Energies, MDPI, vol. 15(20), pages 1-24, October.
    5. Muruvvet Deniz Sezer & Melisa Ozbiltekin-Pala & Yigit Kazancoglu & Jose Arturo Garza-Reyes & Anil Kumar & Vikas Kumar, 2023. "Investigating the role of knowledge-based supply chains for supply chain resilience by graph theory matrix approach," Operations Management Research, Springer, vol. 16(3), pages 1220-1230, September.
    6. Yigit Kazancoglu & Muruvvet Deniz Sezer & Melisa Ozbiltekin-Pala & Murat Kucukvar, 2022. "Investigating the role of stakeholder engagement for more resilient vaccine supply chains during COVID-19," Operations Management Research, Springer, vol. 15(1), pages 428-439, June.
    7. Samieinasab, Mina & Hamid, Mahdi & Rabbani, Masoud, 2022. "An integrated resilience engineering-lean management approach to performance assessment and improvement of clinical departments," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Karlaftis, Matthew G. & Tsamboulas, Dimitrios, 2012. "Efficiency measurement in public transport: Are findings specification sensitive?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(2), pages 392-402.
    2. Xianmei Wang & Hanhui Hu, 2017. "Sustainable Evaluation of Social Science Research in Higher Education Institutions Based on Data Envelopment Analysis," Sustainability, MDPI, vol. 9(4), pages 1-17, April.
    3. Sarah Maslen & Jan Hayes & Janice Wong & Christina Scott-Young, 2020. "Witch hunts and scapegoats: an investigation into the impact of personal liability concerns on engineers’ reporting of risks," Environment Systems and Decisions, Springer, vol. 40(3), pages 413-426, September.
    4. Francis, Royce & Bekera, Behailu, 2014. "A metric and frameworks for resilience analysis of engineered and infrastructure systems," Reliability Engineering and System Safety, Elsevier, vol. 121(C), pages 90-103.
    5. Samoilenko, Sergey & Osei-Bryson, Kweku-Muata, 2013. "Using Data Envelopment Analysis (DEA) for monitoring efficiency-based performance of productivity-driven organizations: Design and implementation of a decision support system," Omega, Elsevier, vol. 41(1), pages 131-142.
    6. Kangjuan Lv & Yu Cheng & Yousen Wang, 2021. "Does regional innovation system efficiency facilitate energy-related carbon dioxide intensity reduction in China?," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(1), pages 789-813, January.
    7. Lai, Kee-hung & Wong, Christina W.Y., 2012. "Green logistics management and performance: Some empirical evidence from Chinese manufacturing exporters," Omega, Elsevier, vol. 40(3), pages 267-282.
    8. Alizadeh, Reza & Gharizadeh Beiragh, Ramin & Soltanisehat, Leili & Soltanzadeh, Elham & Lund, Peter D., 2020. "Performance evaluation of complex electricity generation systems: A dynamic network-based data envelopment analysis approach," Energy Economics, Elsevier, vol. 91(C).
    9. Azadeh, A. & Ghaderi, S.F. & Nasrollahi, M.R., 2011. "Location optimization of wind plants in Iran by an integrated hierarchical Data Envelopment Analysis," Renewable Energy, Elsevier, vol. 36(5), pages 1621-1631.
    10. Jaeho Shin & Changhee Kim & Hongsuk Yang, 2019. "Does Reduction of Material and Energy Consumption Affect to Innovation Efficiency? The Case of Manufacturing Industry in South Korea," Energies, MDPI, vol. 12(6), pages 1-14, March.
    11. Li, Yongjun & Chen, Yao & Liang, Liang & Xie, Jianhui, 2012. "DEA models for extended two-stage network structures," Omega, Elsevier, vol. 40(5), pages 611-618.
    12. Luca Allodi & Fabio Massacci, 2017. "Security Events and Vulnerability Data for Cybersecurity Risk Estimation," Risk Analysis, John Wiley & Sons, vol. 37(8), pages 1606-1627, August.
    13. Carmen De-Pablos-Heredero & Carlos Fernández-Renedo & Jose-Amelio Medina-Merodio, 2015. "Technical Efficiency and Organ Transplant Performance: A Mixed-Method Approach," IJERPH, MDPI, vol. 12(5), pages 1-20, May.
    14. Ma, Li-Ching, 2012. "Screening alternatives graphically by an extended case-based distance approach," Omega, Elsevier, vol. 40(1), pages 96-103, January.
    15. Yacov Y. Haimes, 2011. "Responses to Terje Aven's Paper: On Some Recent Definitions and Analysis Frameworks for Risk, Vulnerability, and Resilience," Risk Analysis, John Wiley & Sons, vol. 31(5), pages 689-692, May.
    16. Arabi, Behrouz & Munisamy, Susila & Emrouznejad, Ali & Shadman, Foroogh, 2014. "Power industry restructuring and eco-efficiency changes: A new slacks-based model in Malmquist–Luenberger Index measurement," Energy Policy, Elsevier, vol. 68(C), pages 132-145.
    17. Jian-Wen Fang & Yung-ho Chiu, 2017. "Research on Innovation Efficiency and Technology Gap in China Economic Development," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 34(02), pages 1-22, April.
    18. Patriarca, Riccardo & Bergström, Johan & Di Gravio, Giulio, 2017. "Defining the functional resonance analysis space: Combining Abstraction Hierarchy and FRAM," Reliability Engineering and System Safety, Elsevier, vol. 165(C), pages 34-46.
    19. Labaka, Leire & Hernantes, Josune & Sarriegi, Jose M., 2015. "Resilience framework for critical infrastructures: An empirical study in a nuclear plant," Reliability Engineering and System Safety, Elsevier, vol. 141(C), pages 92-105.
    20. Zhang, Linyan & Chen, Kun, 2019. "Hierarchical network systems: An application to high-technology industry in China," Omega, Elsevier, vol. 82(C), pages 118-131.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:ijsaem:v:10:y:2019:i:2:d:10.1007_s13198-019-00774-0. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.