IDEAS home Printed from https://ideas.repec.org/a/spr/grdene/v30y2021i1d10.1007_s10726-020-09706-x.html
   My bibliography  Save this article

Using a FMEA–TIFIAD Approach to Identify the Risk of Railway Dangerous Goods Transportation System

Author

Listed:
  • Wencheng Huang

    (Southwest Jiaotong University
    Southwest Jiaotong University
    Southwest Jiaotong University
    Southwest Jiaotong University)

  • Yueyang Li

    (Southwest Jiaotong University
    Southwest Jiaotong University)

  • Xingyi Kou

    (Southwest Jiaotong University
    Southwest Jiaotong University)

  • Wenzhe Wang

    (Southwest Jiaotong University
    Southwest Jiaotong University)

  • Yifei Xu

    (Southwest Jiaotong University
    Southwest Jiaotong University)

Abstract

In this paper a systemic approach that combines Failure Mode and Effect Analysis (FMEA) and trapezoidal intuitionistic fuzzy information axiomatic design (TIFIAD) is proposed to identify the risk of railway dangerous goods transportation system (RDNGTS), which has seven steps: (1) identify potential risk factors and risk sub-indicators of RDNGTS; (2) define the failure criterion of severity of failures (S), portability of occurrence (O) and possibility of detection (D) of FMEA based on trapezoidal intuitionistic fuzzy numbers (TrIFNs); (3) invite experts to score the TrIFNs of S, O and D for each risk sub-indicator; (4) aggregate the TrIFNs of S, O and D for each risk sub-indicator; (5) calculate the TIFIAD of each risk sub-indicator; (6) calculate the total TIFIAD of each risk sub-indicator; (7) calculate the total TIFIAD of each risk factor. Compared with FMEA, FMEA–TIFIAD has the following improvements: (1) The TrIFNs are applied to score the S, O and D of each risk sub-indicator of RDNGTS; (2) The TIFIAD of the S, O and D are calculated for each risk sub-indicator, the product of the S, O and D could replace the Risk Priority Number (RPN) of FMEA; (3) The Entropy Weight Method is used to calculate the weight of each risk sub-indicator. The calculation results show that the potential human risk should be paid more attentions; the FMEA–TIFIAD is more reliable and accurate than FMEA. Finally the improvement suggestions for managers and operators of RDNGTS are given.

Suggested Citation

  • Wencheng Huang & Yueyang Li & Xingyi Kou & Wenzhe Wang & Yifei Xu, 2021. "Using a FMEA–TIFIAD Approach to Identify the Risk of Railway Dangerous Goods Transportation System," Group Decision and Negotiation, Springer, vol. 30(1), pages 63-95, February.
    • Handle: RePEc:spr:grdene:v:30:y:2021:i:1:d:10.1007_s10726-020-09706-x
    DOI: 10.1007/s10726-020-09706-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10726-020-09706-x
    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/s10726-020-09706-x?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. Govindan, Kannan & Chaudhuri, Atanu, 2016. "Interrelationships of risks faced by third party logistics service providers: A DEMATEL based approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 90(C), pages 177-195.
    2. Wencheng Huang & Bin Shuai, 2017. "Using Improved Entropy-Cloud Model to Select High-Speed Railway Express Freight Train Service Sites," Mathematical Problems in Engineering, Hindawi, vol. 2017, pages 1-13, November.
    3. Jagtman, H.M. & Hale, A.R. & Heijer, T., 2006. "Ex ante assessment of safety issues of new technologies in transport," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(6), pages 459-474, July.
    4. Arindam Garai & Palash Mandal & Tapan Kumar Roy, 2016. "Intuitionistic fuzzy T-sets based optimization technique for production-distribution planning in supply chain management," OPSEARCH, Springer;Operational Research Society of India, vol. 53(4), pages 950-975, December.
    5. Yip, Tsz Leung, 2008. "Port traffic risks - A study of accidents in Hong Kong waters," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 44(5), pages 921-931, September.
    6. Powell, J.H. & Mustafee, N. & Chen, A.S. & Hammond, M., 2016. "System-focused risk identification and assessment for disaster preparedness: Dynamic threat analysis," European Journal of Operational Research, Elsevier, vol. 254(2), pages 550-564.
    7. Jun Li & Hong Zhang & Yinshan Han & Baodong Wang, 2016. "Study on Failure of Third-Party Damage for Urban Gas Pipeline Based on Fuzzy Comprehensive Evaluation," PLOS ONE, Public Library of Science, vol. 11(11), pages 1-15, November.
    8. Bendul, Julia C. & Skorna, Alexander C.H., 2016. "Exploring impact factors of shippers’ risk prevention activities: A European survey in transportation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 90(C), pages 206-223.
    9. Karel De Bakker & Albert Boonstra & Hans Wortmann, 2014. "The communicative effect of risk identification on project success," International Journal of Project Organisation and Management, Inderscience Enterprises Ltd, vol. 6(1/2), pages 138-156.
    10. Peeters, J.F.W. & Basten, R.J.I. & Tinga, T., 2018. "Improving failure analysis efficiency by combining FTA and FMEA in a recursive manner," Reliability Engineering and System Safety, Elsevier, vol. 172(C), pages 36-44.
    11. Yang, Zhisen & Yang, Zaili & Yin, Jingbo, 2018. "Realising advanced risk-based port state control inspection using data-driven Bayesian networks," Transportation Research Part A: Policy and Practice, Elsevier, vol. 110(C), pages 38-56.
    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. Huang, Wencheng & Zhang, Yue & Yu, Yaocheng & Xu, Yifei & Xu, Minhao & Zhang, Rui & De Dieu, Gatesi Jean & Yin, Dezhi & Liu, Zhanru, 2021. "Historical data-driven risk assessment of railway dangerous goods transportation system: Comparisons between Entropy Weight Method and Scatter Degree Method," Reliability Engineering and System Safety, Elsevier, vol. 205(C).
    2. Zhou, Kaiwen & Xing, Wenbin & Wang, Jingbo & Li, Huanhuan & Yang, Zaili, 2024. "A data-driven risk model for maritime casualty analysis: A global perspective," Reliability Engineering and System Safety, Elsevier, vol. 244(C).
    3. Jiang, Dan & Wu, Bing & Cheng, Zhiyou & Xue, Jie & van Gelder, P.H.A.J.M., 2021. "Towards a probabilistic model for estimation of grounding accidents in fluctuating backwater zone of the Three Gorges Reservoir," Reliability Engineering and System Safety, Elsevier, vol. 205(C).
    4. Tian, Xuecheng & Yan, Ran & Liu, Yannick & Wang, Shuaian, 2023. "A smart predict-then-optimize method for targeted and cost-effective maritime transportation," Transportation Research Part B: Methodological, Elsevier, vol. 172(C), pages 32-52.
    5. Tim Gruchmann & Nadine Pratt & Jan Eiten & Ani Melkonyan, 2020. "4PL Digital Business Models in Sea Freight Logistics: The Case of FreightHub," Logistics, MDPI, vol. 4(2), pages 1-14, May.
    6. Zhou, Jing & Liu, Yu & Liang, Decui & Tang, Maochun, 2023. "A new risk analysis approach to seek best production action during new product introduction," International Journal of Production Economics, Elsevier, vol. 262(C).
    7. Junjie Fu & Xinqiang Chen & Shubo Wu & Chaojian Shi & Huafeng Wu & Jiansen Zhao & Pengwen Xiong, 2020. "Mining ship deficiency correlations from historical port state control (PSC) inspection data," PLOS ONE, Public Library of Science, vol. 15(2), pages 1-19, February.
    8. Antão, P. & Sun, S. & Teixeira, A.P. & Guedes Soares, C., 2023. "Quantitative assessment of ship collision risk influencing factors from worldwide accident and fleet data," Reliability Engineering and System Safety, Elsevier, vol. 234(C).
    9. Junwei Gan & Li Luo, 2017. "Using DEMATEL and Intuitionistic Fuzzy Sets to Identify Critical Factors Influencing the Recycling Rate of End-Of-Life Vehicles in China," Sustainability, MDPI, vol. 9(10), pages 1-22, October.
    10. Li Yang & Yue Xu & Junqi Zhu & Keyu Sun, 2024. "Research on Water Ecological Resilience Measurement and Influencing Factors: A Case Study of the Yangtze River Economic Belt, China," Sustainability, MDPI, vol. 16(16), pages 1-23, August.
    11. Shen, Bin & Xu, Xiaoyan & Guo, Shu, 2019. "The impacts of logistics services on short life cycle products in a global supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 131(C), pages 153-167.
    12. Nwokedi Theophilus C. & Eko-Rapheals Melvin Urhoromu & Obasi Catherine & Okechkwu Anyanwu Julius, 2022. "Performance of Abuja MOU on Port State Control in Enforcement of IMO Regulations on Maritime Safety," LOGI – Scientific Journal on Transport and Logistics, Sciendo, vol. 13(1), pages 233-244, January.
    13. Pani, Agnivesh & Mishra, Sabya & Sahu, Prasanta, 2022. "Developing multi-vehicle freight trip generation models quantifying the relationship between logistics outsourcing and insourcing decisions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 159(C).
    14. Wang, Shuaian & Yan, Ran & Qu, Xiaobo, 2019. "Development of a non-parametric classifier: Effective identification, algorithm, and applications in port state control for maritime transportation," Transportation Research Part B: Methodological, Elsevier, vol. 128(C), pages 129-157.
    15. Lo, Huai-Wei & Liou, James J.H. & Huang, Chun-Nen & Chuang, Yen-Ching & Tzeng, Gwo-Hshiung, 2020. "A new soft computing approach for analyzing the influential relationships of critical infrastructures," International Journal of Critical Infrastructure Protection, Elsevier, vol. 28(C).
    16. Wang, Likun & Yang, Zaili, 2018. "Bayesian network modelling and analysis of accident severity in waterborne transportation: A case study in China," Reliability Engineering and System Safety, Elsevier, vol. 180(C), pages 277-289.
    17. Li, Ying & Shou, Yongyi & Ding, Ronggui & Sun, Tao & Zhou, Qing, 2019. "Governing local sourcing practices of overseas projects for the Belt and Road Initiative: A framework and evaluation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 126(C), pages 212-226.
    18. Venkatesh, V.G. & Zhang, Abraham & Deakins, Eric & Mani, Venkatesh, 2021. "Antecedents of social sustainability noncompliance in the Indian apparel sector," International Journal of Production Economics, Elsevier, vol. 234(C).
    19. Shafiee, Mohammad & Zare-Mehrjerdi, Yahia & Govindan, Kannan & Dastgoshade, Sohaib, 2022. "A causality analysis of risks to perishable product supply chain networks during the COVID-19 outbreak era: An extended DEMATEL method under Pythagorean fuzzy environment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 163(C).
    20. Pei-Hsuan Tsai & Chih-Jou Chen & Ho-Chin Yang, 2021. "Using Porter’s Diamond Model to Assess the Competitiveness of Taiwan’s Solar Photovoltaic Industry," SAGE Open, , vol. 11(1), pages 21582440209, January.

    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:grdene:v:30:y:2021:i:1:d:10.1007_s10726-020-09706-x. 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.