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Failure modes and effects analysis for CO2 transmission pipelines using a hesitant fuzzy VIKOR method

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Abstract

Carbon capture, utilization, and storage (CCUS) is now considered to be one of the main technological options to reduce greenhouse gas emissions. It seems that pipeline transmission is an effective way to transport the large amount of CO2 from the capture site to the storage site over long distance for most CCUS projects. Therefore, risk assessment of CO2 transmission pipelines has been an important aspect for successful development of the CCUS industry in the future. Failure mode and effects analysis (FMEA) is a group-based activity to prioritize risk. A group multi-criteria decision-making approach based on combined weights and the hesitant fuzzy VIKOR (vlsekriterijumska optimizacija i kompromisno resenje in Serbian, meaning “multi-criteria optimization and compromise solution”) method is proposed to evaluate the risk of CO2 transmission pipelines. First, a pair-wise comparison matrix for risk factors is constructed according to the evaluation information given by the FMEA team members, and a fuzzy analytic hierarchy process is used to determine the subjective weight vector of these risk factors. The maximizing deviation method is used to determine the objective weights of risk factors. Then, to select the most serious failure modes for CO2 transmission pipelines, the hesitant fuzzy VIKOR method is used to prioritize the potential failure modes that have been identified by the FMEA team members. Finally, a numerical example for risk assessment is given to illustrate the effectiveness and rationality of the proposed method.

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References

  • Benayoun R, Roy B, Sussman B (1966) ELECTRE: Une méthode pour guider le choix en presence de points de vue multiples, Note de travail 49. SEMA-METRA International, Direction Scientifique, Paris

    Google Scholar 

  • Bowles JB, Peláez CE (1995) Fuzzy logic prioritization of failures in a system failure mode, effects and criticality analysis. Reliab Eng Syst Saf 50:203–213

    Article  Google Scholar 

  • Braglia M, Frosolini M, Montanari R (2003a) Fuzzy criticality assessment model for failure modes and effects analysis. Int J Qual Reliab Manag 20:503–524

    Article  Google Scholar 

  • Braglia M, Frosolini M, Montanari R (2003b) Fuzzy TOPSIS approach for failure mode, effects and criticality analysis. Qual Reliab Eng Int 19:425–443

    Article  Google Scholar 

  • Brans JP, Mareschal V (1984) PROMETHEE: a new family of outranking methods in multicriteria analysis. In: Brans JP (ed) Operational research’ 84. North-Holland, New York, pp 477–490

    Google Scholar 

  • Chai JY, Ngai EWT (2015) Multi-perspective strategic supplier selection in uncertain environments. Int J Prod Econ 166:215–225

    Article  Google Scholar 

  • Chang DY (1996) Applications of the extent analysis method on fuzzy AHP. Eur J Oper Res 95:649–655

    Article  MATH  Google Scholar 

  • Chang KH (2009) Evaluate the orderings of risk for failure problems using a more general RPN methodology. Microelectron Reliab 49:1586–1596

    Article  Google Scholar 

  • Chang KH, Cheng CH (2010) A risk assessment methodology using intuitionistic fuzzy set in FMEA. Int J Syst Sci 41:1457–1471

    Article  MathSciNet  Google Scholar 

  • Chang CL, Hsu CH (2009) Multi-criteria analysis via the VIKOR method for prioritizing land-use restraint strategies in the Tseng-Wen reservoir watershed. J Environ Manag 90:3226–3230

    Article  Google Scholar 

  • Chang KH, Cheng CH, Chang YC (2010) Reprioritization of failures in a silane supply system using an intuitionistic fuzzy set ranking technique. Soft Comput 14:285–298

    Article  Google Scholar 

  • Chao CH (2012) Construct factor evaluation model of Health Management Center selected by customers with fuzzy analytic hierarchy process. Exp Syst Appl 39:954–959

    Article  Google Scholar 

  • Chin KS, Wang YM, Poon GKK, Yang JB (2009) Failure mode and effects analysis using a group-based evidential reasoning approach. Comput Oper Res 36:1768–1779

    Article  MATH  Google Scholar 

  • Duncan I, Wang H (2014) Evaluating the likelihood of pipeline failures for future offshore CO2 sequestration projects. Int J Greenh Gas Control 24:124–138

    Article  Google Scholar 

  • Ebrahimnejad S, Mousavi SM, Tavakkoli-Moghaddam R, Hashemi H, Vahdani B (2012) A novel two-phase group decision making approach for construction project selection in a fuzzy environment. Appl Math Model 36:4197–4217

    Article  MathSciNet  MATH  Google Scholar 

  • Engebo A, Ahmed N, Garstad JJ, Holt H (2013) Risk assessment and management for CO2 capture and transport facilities. Energy Procedia 37:783–2793

    Article  Google Scholar 

  • Farhadinia B (2014) Distance and similarity measures for higher order hesitant fuzzy sets. Knowl Based Syst 55:43–48

    Article  MATH  Google Scholar 

  • Gale J, Davison J (2004) Transmission of CO2—safety and economic considerations. Energy 29:1319–1328

    Article  Google Scholar 

  • Gough C, O’Keefe L, Mander S (2014) Public perception of CO2 transportation in pipelines. Energy Policy 70:106–114

    Article  Google Scholar 

  • Hwang CL, Yoon K (1981) Multiple attribute decision making. In: Beckmann M, Künzi HP (eds) Lecture notes in economics and mathematical systems. Springer, Berlin

    Google Scholar 

  • International Energy Agency World Energy Outlook (2013) IEA, France, 2013. http://www.worldenergyoutlook.org/publications/weo-2013/

  • Kaya T, Kahraman C (2010) Multicriteria renewable energy planning using an integrated fuzzy VIKOR & AHP methodology: the case of Istanbul. Energy 35:2517–2527

    Article  Google Scholar 

  • Koornneef J, Spruijt M, Molag M, Ramirez A, Turkenburg W, Faaij A (2010) Quantitative risk assessment of CO2 transport by pipelines—a review of uncertainties and their impacts. J Hazard Mater 177:12–27

    Article  Google Scholar 

  • Kruse H, Tekiela M (1996) Calculating the consequences of a CO2-pipeline rupture. Energy Convers Manag 37:1013–1018

    Article  Google Scholar 

  • Kutlu AC (2012) Fuzzy failure modes and effects analysis by using fuzzy TOPSIS-based fuzzy AHP. Expert Syst Appl 39:61–67

    Article  Google Scholar 

  • Liao HC, Xu ZS (2013) A VIKOR-based method for hesitant fuzzy multi-criteria decision making. Fuzzy Optim Decis Mak 12:373–392

    Article  MathSciNet  MATH  Google Scholar 

  • Liao HC, Xu ZS (2015) Approaches to manage hesitant fuzzy linguistic information based on the cosine distance and similarity measures for HFLTSs and their application in qualitative decision making. Expert Syst Appl 42:5328–5336

    Article  Google Scholar 

  • Liao HC, Xu ZS, Zeng XJ (2014) Distance and similarity measures for hesitant fuzzy linguistic term sets and their application in multi-criteria decision making. Inf Sci 271:125–142

    Article  MathSciNet  MATH  Google Scholar 

  • Liou J, Tsai CY, Lin RH, Tzeng GH (2011) A modified VIKOR multiplecriteria decision method for improving domestic airlines service quality. J Air Transp Manag 17:57–61

    Article  Google Scholar 

  • Liu HC, Liu L, Liu N, Mao LX (2012) Risk evaluation in failure mode and effects analysis with extended VIKOR method under fuzzy environment. Expert Syst Appl 39:12926–12934

    Article  Google Scholar 

  • Liu HC, Liu L, Liu N (2013a) Risk evaluation approaches in failure mode and effects analysis: a literature review. Expert Syst Appl 40:828–838

    Article  Google Scholar 

  • Liu HC, Long Liu, Ping Li (2013b) Failure mode and effects analysis using intuitionistic fuzzy hybrid weighted Euclidean distance operator. Int J Syst Sci 38:4403–4415

    Google Scholar 

  • Liu HC, You JX, You XY, Shan MM (2015) A novel approach for failure mode and effects analysis using combination weighting and fuzzy VIKOR method. Appl Soft Comput 28:579–588

    Article  Google Scholar 

  • McGillivray A, Wilday J (2009) Comparison of risks from carbon dioxide and natural gas pipelines. Health and Safety Executive research report 749. http://www.hse.gov.uk/research/rrpdf/rr749.pdf

  • McGillivray A, Saw JL, Lisbona D, Wardman M, Bilio M (2014) A risk assessment methodology for high pressure CO2 pipelines using integral consequence modeling. Process Saf Environ 92:17–26

    Article  Google Scholar 

  • Meng FY, Chen XH, Zhang Q (2015) Induced generalized hesitant fuzzy Shapley hybrid operators and their application in multi-attribute decision making. Appl Soft Comput 28:599–607

    Article  Google Scholar 

  • Montes R, Sánchez AM, Villar P, Herrera F (2015) A web tool to support decision making in the housing market using hesitant fuzzy linguistic term sets. Appl Soft Comput 35:949–957

    Article  Google Scholar 

  • Opricovic S (1998) Multicriteria optimization of civil engineering systems (in Serbian, Visekriterijumska optimizacija sistema u gradjevinarstvu). Faculty of Civil Engineering, Belgrade

    Google Scholar 

  • Opricovic S, Tzeng GH (2004) Compromise solution by MCDM methods: a comparative analysis of VIKOR and TOPSIS. Eur J Oper Res 156:445–455

    Article  MATH  Google Scholar 

  • Pillay A, Wang J (2003) Modified failure mode and effects analysis using approximate reasoning. Reliab Eng Syst Saf 79:69–85

    Article  Google Scholar 

  • Pushpinder S (2017) Distance and similarity measures for multiple-attribute decision making with dual hesitant fuzzy sets. Comput Appl Math 36:111–126

    Article  MathSciNet  MATH  Google Scholar 

  • Ren ZL, Xu ZS, Wang H (2017) Dual hesitant fuzzy VIKOR method for multi-criteria group decision making based on fuzzy measure and new comparison method. Inf Sci 388–389:1–16

    Article  Google Scholar 

  • Rodríguez RM, Martínez L, Herrera F (2012) Hesitant fuzzy linguistic terms sets for decision making. IEEE Trans Fuzzy Syst 20:109–119

    Article  Google Scholar 

  • Saaty TL (1980) The Analytic Hierarchy Process. McGraw-Hill, New York

    MATH  Google Scholar 

  • Sayadi MK, Heydari M, Shahanaghi K (2009) Extension of VIKOR method for decision making problem with interval numbers. Appl Math Model 33:2257–2262

    Article  MathSciNet  MATH  Google Scholar 

  • Sinopec Petroleum Engineering Corporation (2014) Technical progress and operation challenges of 1 million ton CO2 transportation pipelines of Shengli coal-fired power plant. In: Proceedings of workshop on pre-feasibility study of CCUS demonstration projects in China, Beijing, China

  • Stamatis DH (2003) Failure mode and effect analysis: FMEA from theory to execution, 2nd edn. ASQC Press, New York

    Google Scholar 

  • Svensson R, Odenberger M, Johnsson F, Strömberg L (2004) Transportation systems for CO2—application to carbon capture and storage. Energy Convers Manag 45:2343–2353

    Article  Google Scholar 

  • Tan CQ, Yi WT, Chen XH (2015) Hesitant fuzzy Hamacher aggregation operators for multicriteria decision making. Appl Soft Comput 26:325–349

    Article  Google Scholar 

  • Torra V (2010) Hesitant fuzzy sets. Int J Intell Syst 25:529–539

    MATH  Google Scholar 

  • Torra V, Narukawa Y (2009) On hesitant fuzzy sets and decision. In: The 18th IEEE international conference on fuzzy systems, Jeju Island, Korea, pp 1378–1382

  • Wang HJ, Zhao XF, Wei GW (2014a) Dual hesitant fuzzy aggregation operators in multiple attribute decision making. J Intell Fuzzy Syst 26:2281–2290

    MathSciNet  MATH  Google Scholar 

  • Wang JQ, Wang J, Chen QH, Zhang HY, Chen XH (2014b) An outranking approach for multi-criteria decision-making with hesitant fuzzy linguistic term sets. Inf Sci 280:338–351

    Article  MathSciNet  MATH  Google Scholar 

  • Wang L, Shen Q, Zhu L (2016) Dual hesitant fuzzy power aggregation operators based on Archimedean t-conorm and t-norm and their application to multiple attribute group decision making. Appl Soft Comput 38:23–50

    Article  Google Scholar 

  • Wei GW (2012) Hesitant fuzzy prioritized operators and their application to multiple attribute group decision making. Knowl Based Syst 31:176–182

    Article  Google Scholar 

  • Wei GW, Zhang N (2014) A multiple criteria hesitant fuzzy decision making with Shapley value-based VIKOR method. J Intell Fuzzy Syst 26:1065–1075

    MathSciNet  MATH  Google Scholar 

  • Wei CP, Zhao N, Tang XJ (2014) Comparisons and operators of hesitant fuzzy linguistic term sets. IEEE Trans Fuzzy Syst 22:575–585

    Article  Google Scholar 

  • Xia MM, Xu ZS (2011) Hesitant fuzzy information aggregation in decision making. Int J Approx Reason 52:395–407

    Article  MathSciNet  MATH  Google Scholar 

  • Xu ZS, Xia MM (2011a) Distance and similarity measures for hesitant fuzzy sets. Inf Sci 181:2128–2138

    Article  MathSciNet  MATH  Google Scholar 

  • Xu ZS, Xia MM (2011b) On distance and correlation measures of hesitant fuzzy information. Int J Intell Syst 26:410–425

    Article  MATH  Google Scholar 

  • Xu ZS, Zhang XL (2013) Hesitant fuzzy multi-attribute decision making based on TOPSIS with incomplete weight information. Knowl Based Syst 52:53–64

    Article  Google Scholar 

  • Yang JP, Huang HZ, He LP, Zhu SP, Wen DW (2011) Risk evaluation in failure mode and effects analysis of aircraft turbine rotor blades using Dempster–Shafer evidence theory under uncertainty. Eng Fail Anal 18:2084–2092

    Article  Google Scholar 

  • Yavuz M, Oztaysi B, Onar SC, Kahraman C (2015) Multi-criteria evaluation of alternative-fuel vehicles via a hierarchical hesitant fuzzy linguistic model. Expert Syst Appl 42:2835–2848

    Article  Google Scholar 

  • Zeleny M (1982) Multiple criteria decision making, vol 25. McGrawHill, New York

    MATH  Google Scholar 

  • Zhang N, Wei GW (2013) Extension of VIKOR method for decision making problem based on hesitant fuzzy set. Appl Math Model 37:4938–4947

    Article  MathSciNet  MATH  Google Scholar 

  • Zhang X, Fan JL, Wei YM (2013) Technology roadmap study on carbon capture, utilization and storage in China. Energy Policy 59:536–550

    Article  Google Scholar 

  • Zhang X, Wang XW, Chen JJ, Xie X, Wang K, Wei YM (2014) A novel modeling based real option approach for CCS investment evaluation under multiple uncertainties. Appl Energy 113:1059–1067

    Article  Google Scholar 

  • Zhang HD, Shu L, Liao S, Xiawu CR (2017) Dual hesitant fuzzy rough set and its application. Soft Comput 21:3287–3305

    Article  MATH  Google Scholar 

  • Zhu B, Xu ZS, Xia MM (2012a) Hesitant fuzzy geometric Bonferroni means. Inf Sci 205:72–85

    Article  MathSciNet  MATH  Google Scholar 

  • Zhu B, Xu ZS, Xia MM (2012b) Dual hesitant fuzzy sets. J Appl Math 22:1–13

    MathSciNet  MATH  Google Scholar 

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Acknowledgements

The authors are highly grateful to the anonymous referees for their valuable comments and suggestions. This research was supported by grants from the Ministry of Education of Humanities and Social Science Foundation in China (Grant No. 14YJCZH041) and Program for Innovation Research in Central University of Finance and Economics.

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Authors and Affiliations

  1. School of Management Science and Engineering, Central University of Finance and Economics, Beijing, 100081, China

    Jian Guo, Zefu Lin, Lei Zu & Junlin Chen

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  1. Jian Guo
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  2. Zefu Lin
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Correspondence to Jian Guo.

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All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards. This article does not contain any studies with animals performed by any of the authors. Informed consent was obtained from all individual participants included in the study.

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Guo, J., Lin, Z., Zu, L. et al. Failure modes and effects analysis for CO2 transmission pipelines using a hesitant fuzzy VIKOR method. Soft Comput 23, 10321–10338 (2019). https://doi.org/10.1007/s00500-018-3583-1

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