IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i24p16848-d1300287.html
   My bibliography  Save this article

Operational Control Model Based on Integrated Failure Analysis and Risk Assessment in Sustainable Technological Processes

Author

Listed:
  • Tatiana Karkoszka

    (Faculty of Mechanical Engineering, Silesian University of Technology, Konarskiego St. 18a, 44-100 Gliwice, Poland)

Abstract

The simultaneous fulfillment of quality, environmental, and occupational safety requirements is a difficult task. The process flow is influenced by numerous factors, and different operational objectives are pursued in different ways. Methodologies reflecting the use of various models, methods, and tools in the integration and implementation of operational goals dedicated to sustainable operation are becoming increasingly important. The subject of the study is an operational control model considering the integrated risk and the steps taken under the conditions of “supervised risk” ensured by the monitoring of the operational criteria. The method was developed for coherent risk management, covering its identification, analysis, assessment, and acceptability estimation in the technological process. The methodology for the assessment, considering the quality, environmental, and occupational safety criteria, and based on the application of the unit risk ratio, allows for the determination of the key operational features, and the methodology of the identification of the key technological parameters applying the integrated risk ratio ensures that the crucial technological parameters are highlighted. The application of the algorithm in the heat treatment process confirms both the effectiveness of the proposed model and the correctness of the thesis: the different requirements set for the technological processes can be simultaneously fulfilled via the application of integrated operational control.

Suggested Citation

  • Tatiana Karkoszka, 2023. "Operational Control Model Based on Integrated Failure Analysis and Risk Assessment in Sustainable Technological Processes," Sustainability, MDPI, vol. 15(24), pages 1-24, December.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:24:p:16848-:d:1300287
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/24/16848/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/24/16848/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ahsen, Anette von & Petruschke, Lars & Frick, Nicholas, 2022. "Sustainability Failure Mode and Effects Analysis - A systematic literature review," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 132981, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    2. Gianpaolo Di Bona & Alessandro Silvestri & Antonio Forcina & Antonella Petrillo, 2018. "Total efficient risk priority number (TERPN): a new method for risk assessment," Journal of Risk Research, Taylor & Francis Journals, vol. 21(11), pages 1384-1408, November.
    3. Enrico Zio, 2013. "The Monte Carlo Simulation Method for System Reliability and Risk Analysis," Springer Series in Reliability Engineering, Springer, edition 127, number 978-1-4471-4588-2, December.
    4. Ahsen, Anette von & Petruschke, Lars & Frick, Nicholas, 2022. "Sustainability Failure Mode and Effects Analysis - A systematic literature review," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 133275, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    5. Zhemchugova, Oksana & Levshina, Violetta, 2020. "The risk-based approach in organization quality management systems," Revista Galega de Economía, University of Santiago de Compostela. Faculty of Economics and Business., vol. 29(3), pages 1-13.
    6. Lucian Ispas & Costel Mironeasa, 2022. "The Identification of Common Models Applied for the Integration of Management Systems: A Review," Sustainability, MDPI, vol. 14(6), pages 1-16, March.
    7. Aven, Terje & Krohn, Bodil S., 2014. "A new perspective on how to understand, assess and manage risk and the unforeseen," Reliability Engineering and System Safety, Elsevier, vol. 121(C), pages 1-10.
    Full references (including those not matched with items on IDEAS)

    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. Martin Folch-Calvo & Francisco Brocal-Fernández & Cristina González-Gaya & Miguel A. Sebastián, 2020. "Analysis and Characterization of Risk Methodologies Applied to Industrial Parks," Sustainability, MDPI, vol. 12(18), pages 1-35, September.
    2. Christian Spreafico & Agung Sutrisno, 2023. "Artificial Intelligence Assisted Social Failure Mode and Effect Analysis (FMEA) for Sustainable Product Design," Sustainability, MDPI, vol. 15(11), pages 1-16, May.
    3. James J. H. Liou & Perry C. Y. Liu & Huai-Wei Lo, 2020. "A Failure Mode Assessment Model Based on Neutrosophic Logic for Switched-Mode Power Supply Risk Analysis," Mathematics, MDPI, vol. 8(12), pages 1-19, December.
    4. Guowang Meng & Hongle Li & Bo Wu & Guangyang Liu & Huazheng Ye & Yiming Zuo, 2023. "Prediction of the Tunnel Collapse Probability Using SVR-Based Monte Carlo Simulation: A Case Study," Sustainability, MDPI, vol. 15(9), pages 1-21, April.
    5. Charles Sabel & Gary Herrigel & Peer Hull Kristensen, 2018. "Regulation under uncertainty: The coevolution of industry and regulation," Regulation & Governance, John Wiley & Sons, vol. 12(3), pages 371-394, September.
    6. Sven Ove Hansson & Terje Aven, 2014. "Is Risk Analysis Scientific?," Risk Analysis, John Wiley & Sons, vol. 34(7), pages 1173-1183, July.
    7. Michael Saidani & Alissa Kendall & Bernard Yannou & Yann Leroy & François Cluzel, 2019. "Closing the loop on platinum from catalytic converters: Contributions from material flow analysis and circularity indicators," Post-Print hal-02094798, HAL.
    8. Wang, Wei & Cammi, Antonio & Di Maio, Francesco & Lorenzi, Stefano & Zio, Enrico, 2018. "A Monte Carlo-based exploration framework for identifying components vulnerable to cyber threats in nuclear power plants," Reliability Engineering and System Safety, Elsevier, vol. 175(C), pages 24-37.
    9. Michele Compare & Francesco Di Maio & Enrico Zio & Fausto Carlevaro & Sara Mattafirri, 2016. "Improving scheduled maintenance by missing data reconstruction: A double-loop Monte Carlo approach," Journal of Risk and Reliability, , vol. 230(5), pages 502-511, October.
    10. Chiacchio, Ferdinando & D’Urso, Diego & Famoso, Fabio & Brusca, Sebastian & Aizpurua, Jose Ignacio & Catterson, Victoria M., 2018. "On the use of dynamic reliability for an accurate modelling of renewable power plants," Energy, Elsevier, vol. 151(C), pages 605-621.
    11. Bjerga, Torbjørn & Aven, Terje, 2015. "Adaptive risk management using new risk perspectives – an example from the oil and gas industry," Reliability Engineering and System Safety, Elsevier, vol. 134(C), pages 75-82.
    12. Terje Aven & Ortwin Renn, 2015. "An Evaluation of the Treatment of Risk and Uncertainties in the IPCC Reports on Climate Change," Risk Analysis, John Wiley & Sons, vol. 35(4), pages 701-712, April.
    13. Salomon, Julian & Winnewisser, Niklas & Wei, Pengfei & Broggi, Matteo & Beer, Michael, 2021. "Efficient reliability analysis of complex systems in consideration of imprecision," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    14. Di Maio, Francesco & Pettorossi, Chiara & Zio, Enrico, 2023. "Entropy-driven Monte Carlo simulation method for approximating the survival signature of complex infrastructures," Reliability Engineering and System Safety, Elsevier, vol. 231(C).
    15. Gianpaolo Di Bona & Antonio Forcina & Domenico Falcone & Luca Silvestri, 2020. "Critical Risks Method (CRM): A New Safety Allocation Approach for a Critical Infrastructure," Sustainability, MDPI, vol. 12(12), pages 1-19, June.
    16. Michael Felix Pacevicius & Marilia Ramos & Davide Roverso & Christian Thun Eriksen & Nicola Paltrinieri, 2022. "Managing Heterogeneous Datasets for Dynamic Risk Analysis of Large-Scale Infrastructures," Energies, MDPI, vol. 15(9), pages 1-40, April.
    17. Zio, Enrico, 2016. "Challenges in the vulnerability and risk analysis of critical infrastructures," Reliability Engineering and System Safety, Elsevier, vol. 152(C), pages 137-150.
    18. Turati, Pietro & Pedroni, Nicola & Zio, Enrico, 2017. "Simulation-based exploration of high-dimensional system models for identifying unexpected events," Reliability Engineering and System Safety, Elsevier, vol. 165(C), pages 317-330.
    19. Wang, Fan & Li, Heng, 2018. "System reliability under prescribed marginals and correlations: Are we correct about the effect of correlations?," Reliability Engineering and System Safety, Elsevier, vol. 173(C), pages 94-104.
    20. Tito G. Amaral & Vitor Fernão Pires & Armando Cordeiro & Daniel Foito & João F. Martins & Julia Yamnenko & Tetyana Tereschenko & Liudmyla Laikova & Ihor Fedin, 2023. "Incipient Fault Diagnosis of a Grid-Connected T-Type Multilevel Inverter Using Multilayer Perceptron and Walsh Transform," Energies, MDPI, vol. 16(6), pages 1-18, March.

    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:gam:jsusta:v:15:y:2023:i:24:p:16848-:d:1300287. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.