IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i19p10700-d643792.html
   My bibliography  Save this article

Optimization of Safety System Structures in Railway Transport

Author

Listed:
  • Adrian Gill

    (Institute of Combustion Engines and Transport, Poznan University of Technology, Pl. Marii Skłodowskiej-Curie 5, 60-965 Poznań, Poland)

  • Piotr Smoczyński

    (Institute of Combustion Engines and Transport, Poznan University of Technology, Pl. Marii Skłodowskiej-Curie 5, 60-965 Poznań, Poland)

Abstract

One of the basic strategies for reacting to unacceptable risk is introducing new elements to the analyzed domain. These elements and the relations between them can be treated as a safety system. Although expanding the safety system usually reduces the risk of specific hazards, it often leads to new problems resulting from its excessive development: the system becomes costly and difficult to understand. One of the methods of avoiding the negative issues is to apply an approach described in this paper, which is based on an optimization method making use of the results of risk analysis. The article contains a detailed mathematical description of an optimal solution search algorithm, enabling the selection of a configuration of safety system components that will be the most appropriate in terms of the degree of risk reduction and the related costs. The theoretical part was supplemented with a working example concerning railway traffic control systems. Using the proposed method, it is possible to obtain an optimal structure of a safety system, ensuring at least a tolerated level of risk, adequate to the identified hazards.

Suggested Citation

  • Adrian Gill & Piotr Smoczyński, 2021. "Optimization of Safety System Structures in Railway Transport," Sustainability, MDPI, vol. 13(19), pages 1-15, September.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:19:p:10700-:d:643792
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/19/10700/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/13/19/10700/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mauring, Eeva, 2016. "A two-agent model of sequential search and choice," Journal of Economic Behavior & Organization, Elsevier, vol. 123(C), pages 122-137.
    2. Li Wang & Yong Qin & Jie Xu & Limin Jia, 2012. "A Fuzzy Optimization Model for High-Speed Railway Timetable Rescheduling," Discrete Dynamics in Nature and Society, Hindawi, vol. 2012, pages 1-22, December.
    3. Bearden, J. Neil & Connolly, Terry, 2007. "Multi-attribute sequential search," Organizational Behavior and Human Decision Processes, Elsevier, vol. 103(1), pages 147-158, May.
    4. Podofillini, Luca & Zio, Enrico & Vatn, Jørn, 2006. "Risk-informed optimisation of railway tracks inspection and maintenance procedures," Reliability Engineering and System Safety, Elsevier, vol. 91(1), pages 20-35.
    5. Vatn, Jørn & Aven, Terje, 2010. "An approach to maintenance optimization where safety issues are important," Reliability Engineering and System Safety, Elsevier, vol. 95(1), pages 58-63.
    6. Mak, Vincent & Rapoport, Amnon & Seale, Darryl A., 2014. "Sequential search by groups with rank-dependent payoffs: An experimental study," Organizational Behavior and Human Decision Processes, Elsevier, vol. 124(2), pages 256-267.
    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. Macchi, Marco & Garetti, Marco & Centrone, Domenico & Fumagalli, Luca & Piero Pavirani, Gian, 2012. "Maintenance management of railway infrastructures based on reliability analysis," Reliability Engineering and System Safety, Elsevier, vol. 104(C), pages 71-83.
    2. Rhayma, N. & Bressolette, Ph. & Breul, P. & Fogli, M. & Saussine, G., 2013. "Reliability analysis of maintenance operations for railway tracks," Reliability Engineering and System Safety, Elsevier, vol. 114(C), pages 12-25.
    3. Tine Bertoncel & Ivan Erenda & Maja Meško, 2018. "Best Practices. Managerial Early Warning System as Best Practice for Project Selection at a Smart Factory," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 20(49), pages 805-805, August.
    4. Yang, Li & Ma, Xiaobing & Peng, Rui & Zhai, Qingqing & Zhao, Yu, 2017. "A preventive maintenance policy based on dependent two-stage deterioration and external shocks," Reliability Engineering and System Safety, Elsevier, vol. 160(C), pages 201-211.
    5. Pantelis P. Analytis & Amit Kothiyal & Konstantinos Katsikopoulos, 2014. "Multi-attribute utility models as cognitive search engines," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 9(5), pages 403-419, September.
    6. Francisco J. Santos-Arteaga & Debora Di Caprio & Madjid Tavana & Aidan O'Connor, 2017. "Formalising The Demand For Technological Innovations: Rational Herds, Market Frictions And Network Effects," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 21(02), pages 1-43, February.
    7. Simeu-Abazi, Zineb & Ahmad, Alali Alhouaij, 2011. "Optimisation of distributed maintenance: Modelling and application to the multi-factory production," Reliability Engineering and System Safety, Elsevier, vol. 96(11), pages 1564-1575.
    8. Flage, Roger, 2014. "A delay time model with imperfect and failure-inducing inspections," Reliability Engineering and System Safety, Elsevier, vol. 124(C), pages 1-12.
    9. E Zio & M Librizzi & G Sansavini, 2008. "A combined Monte Carlo and cellular automata approach to the unreliability analysis of binary network systems," Journal of Risk and Reliability, , vol. 222(1), pages 31-38, March.
    10. Odolinski, Kristofer, 2019. "The impact of cumulative tonnes on track failures: An empirical approach," Papers 2019:1, Research Programme in Transport Economics.
    11. Carlson, Kurt A. & Guha, Abhijit, 2011. "Leader-focused search: The impact of an emerging preference on information search," Organizational Behavior and Human Decision Processes, Elsevier, vol. 115(1), pages 133-141, May.
    12. repec:cup:judgdm:v:9:y:2014:i:5:p:403-419 is not listed on IDEAS
    13. Ernan Haruvy & Peter T. L. Popkowski Leszczyc, 2015. "The Loser’s Bliss in Auctions with Price Externality," Games, MDPI, vol. 6(3), pages 1-23, July.
    14. repec:aud:audfin:v:20:y:2018:i:49:p:805 is not listed on IDEAS
    15. Simeu-Abazi, Zineb & Lefebvre, Arnaud & Derain, Jean-Pierre, 2011. "A methodology of alarm filtering using dynamic fault tree," Reliability Engineering and System Safety, Elsevier, vol. 96(2), pages 257-266.
    16. Saleh, Ali & Remenyte-Prescott, Rasa & Prescott, Darren & Chiachío, Manuel, 2024. "Intelligent and adaptive asset management model for railway sections using the iPN method," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    17. Nilsson, Jan-Eric & Odolinski, Kristofer, 2020. "When should infrastructure assets be renewed?: the economic impact of cumulative tonnes on railway infrastructure," Papers 2020:4, Research Programme in Transport Economics.
    18. Wang, Wenbin, 2012. "An overview of the recent advances in delay-time-based maintenance modelling," Reliability Engineering and System Safety, Elsevier, vol. 106(C), pages 165-178.
    19. Darren Prescott & John Andrews, 2013. "A track ballast maintenance and inspection model for a rail network," Journal of Risk and Reliability, , vol. 227(3), pages 251-266, June.
    20. Gedik, Ridvan & Medal, Hugh & Rainwater, Chase & Pohl, Ed A. & Mason, Scott J., 2014. "Vulnerability assessment and re-routing of freight trains under disruptions: A coal supply chain network application," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 71(C), pages 45-57.
    21. Li Yang & Yu Zhao & Xiaobing Ma & Qingan Qiu, 2018. "An optimal inspection and replacement policy for a two-unit system," Journal of Risk and Reliability, , vol. 232(6), pages 766-776, December.
    22. Sinisterra, Wilfrido Quiñones & Lima, Victor Hugo Resende & Cavalcante, Cristiano Alexandre Virginio & Aribisala, Adetoye Ayokunle, 2023. "A delay-time model to integrate the sequence of resumable jobs, inspection policy, and quality for a single-component system," Reliability Engineering and System Safety, Elsevier, vol. 230(C).

    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:13:y:2021:i:19:p:10700-:d:643792. 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.