Skip to main content
SpringerLink
Log in

A Fuzzy AHP-TOPSIS Approach for Selecting the Multimodal Freight Transportation Routes

  • Conference paper
  • First Online:
Knowledge and Systems Sciences (KSS 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1103))

Included in the following conference series:

Abstract

Multimodal transportation route selection strategy has become an important component in the main logistics and transportation. Route selection relies upon decision-based on real industry data and expert judgments. This paper proposes Fuzzy Analytic Hierarchy Process (AHP) and Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) for prioritizing effectively the multimodal transportation routes to improve logistics system performance by constructing the possible routes considering transport cost, time, risk, and quality factors. Fuzzy AHP is used to determine weights for evaluation criteria and Fuzzy TOPSIS is used to aid the ranking of possible route alternatives. The empirical case study of coal manufacturing is conducted to illustrate a proposed methodology that enables to provide a more accurate, practical, and systematic decision support tool.

Supported by Supported by SIIT-JAIST-NECTEC Dual Doctoral Degree Program Scholarship.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Crainic, T.G.: Handbook of Transportation Science. Kluwer Academic Publishers, Norwell (2003)

    Google Scholar 

  2. SteadieSeifi, M., Dellaert, N.P., Nuijten, W., Van Woensel, T., Raoufi, R.: Multimodal freight transportation planning: a literature review. Eur. J. Oper. Res. 233, 1–15 (2014)

    Article  Google Scholar 

  3. Park, Y.I., Lu, W., Nam, T.H., Yeo, G.T.: Terminal vitalization strategy through optimal route selection adopting CFPR methodology. Asian J. Shipp. Logist. 35, 41–48 (2019)

    Article  Google Scholar 

  4. Huynh, N., Fotuhi, F.: A new planning model to support logistics service providers in selecting mode, route, and terminal location. Pol. Marit. Res. 20, 67–73 (2013)

    Article  Google Scholar 

  5. Banomyong, R., Beresford, A.: Multimodal transport: the case of Laotian garment ex-porters. Int. J. Phys. Distrib. Logist. Manag. 31(9), 663–685 (2001)

    Article  Google Scholar 

  6. Krile, S.: Efficient heuristic for non-linear transportation problem on the route with multiple ports. Pol. Marit. Res. 20(4), 80–86 (2013)

    Article  Google Scholar 

  7. Balakrishnan, A., Karsten, C.V.: Container shipping service selection and cargo routing with transshipment limits. Eur. J. Oper. Res. 263(2), 652–663 (2017)

    Article  MathSciNet  Google Scholar 

  8. Raza, Z.: The commercial potential for LNG shipping between Europe and Asia via the Northern Sea Route. J. Marit. Res. 11(2), 67–79 (2014)

    Google Scholar 

  9. Sheffi, Y., Mahmassani, H., Powell, W.B.: A transportation network evacuation model. Transp. Res. Part A Gen. 16(3), 209–218 (1982)

    Article  Google Scholar 

  10. Qu, L., Chen, Y.: A hybrid MCDM method for route selection of multimodal transportation network. In: Sun, F., Zhang, J., Tan, Y., Cao, J., Yu, W. (eds.) ISNN 2008. LNCS, vol. 5263, pp. 374–383. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-87732-5_42

    Chapter  Google Scholar 

  11. Carbone, V., Martino, M.D.: The changing role of ports in supply-chain management: an empirical analysis. Marit. Policy Manag. 30(4), 305–320 (2003)

    Article  Google Scholar 

  12. Cabral, A.M.R., Ramos, F.S.: Cluster analysis of the competitiveness of container ports in Brazil. Transp. Res. Part A Policy Pract. 69, 423–431 (2014)

    Article  Google Scholar 

  13. Dang, V.L., Yeo, G.T.: A competitive strategic position analysis of major container ports in Southeast Asia. Asian J. Shipp. Logist. 33(1), 19–25 (2017)

    Article  Google Scholar 

  14. Feng, L., Notteboom, T.: Small and medium-sized ports (SMPs) in multi-port gateway regions: the role of Yingkou in the logistics system of the Bohai sea. In: Notteboom, T. (ed.) Current Issues in Shipping, Ports and Logistics, pp. 543–563. University Press Antwerp, Brussels (2011)

    Google Scholar 

  15. Feng, L., Notteboom, T.: Peripheral challenge by small and medium sized ports (SMPs) in multi-port gateway regions: the case study of northeast of China. Pol. Marit. Res. 20, 55–66 (2013)

    Article  Google Scholar 

  16. Vujić, M., Skorput, P., Mandžuka, B.: Multimodal route planners in maritime environment. Pomorstvo 29(1), 1–7 (2015)

    Google Scholar 

  17. Rostamzadeh, R., Sofian, S.: Prioritizing effective 7Ms to improve production systems performance using fuzzy AHP and fuzzy TOPSIS (case study). Expert Syst. Appl. 38, 5166–5177 (2011)

    Article  Google Scholar 

  18. Rahman, M.A., et al.: Selection of the best inland waterway structure: a multicriteria decision analysis approach. Water Resour. Manag. 29, 2733–2749 (2015)

    Article  Google Scholar 

  19. Saaty, T.L.: The Analytic Hierarchy Process: Planning, Priority Setting, Resources Allocation. McGraw, New York (1980)

    MATH  Google Scholar 

  20. Ammarapala, V., Chinda, T., Pongsayaporn, P., Ratanachot, W., Punthutaecha, K., Janmonta, K.: Cross-border shipment route selection utilizing analytic hierarchy process (AHP) method, p. 7 (2018)

    Google Scholar 

  21. Angelo, P.M., Furuichi, T., Ishii, N.: A fuzzy analytic network process for multi-criteria evaluation of contaminated site remedial countermeasures. J. Environ. Manag. 88, 479–495 (2008)

    Article  Google Scholar 

  22. Bottani, E., Rizzi, A.: A fuzzy multi-attribute framework for supplier selection in an e-procurement environment. Int. J. Logist. Res. Appl. 8(3), 249–266 (2005)

    Article  Google Scholar 

  23. Chan, F.T.S., Kumar, N., Tiwari, M.K., Lau, H.C.W., Choy, K.L.: Global supplier selection: a fuzzy-AHP approach. Int. J. Prod. Res. 46(14), 3825–3857 (2008)

    Article  Google Scholar 

  24. Mikhailov, L.: Fuzzy analytical approach to partnership selection in formation of virtual enterprises. Omega 30(5), 393–401 (2002)

    Article  Google Scholar 

  25. Hwang, C.L., Yoon, K.: Multiple Attribute Decision Making: Methods and Applications. Springer, Heidelberg (1981). https://doi.org/10.1007/978-3-642-48318-9

    Book  MATH  Google Scholar 

  26. Sun, C.-C.: A performance evaluation model by integrating fuzzy AHP and fuzzy TOPSIS methods. Expert Syst. Appl. 37, 7745–7754 (2010)

    Article  Google Scholar 

  27. Mandic, K., Delibasic, B., Knezevic, S., Benkovic, S.: Analysis of the financial parameters of Serbian banks through the application of the fuzzy AHP and TOPSIS methods. Econ. Model. 43, 30–37 (2014)

    Article  Google Scholar 

  28. Patil, S.K., Kant, R.: A fuzzy AHP-TOPSIS framework for ranking the solutions of Knowledge Management adoption in Supply Chain to overcome its barriers. Expert. Syst. Appl. 41, 679–693 (2014)

    Article  Google Scholar 

  29. Taylan, O., Bafail, A.O., Abdulaal, R.M.S., Kabli, M.R.: Construction projects selection and risk assessment by fuzzy AHP and fuzzy TOPSIS methodologies. Appl. Soft Comput. 17, 105–116 (2014)

    Article  Google Scholar 

  30. Zhang, Z., Guo, C.: Deriving priority weights from intuitionistic multiplicative preference relations under group decision-making settings. J. Oper. Res. Soc. 68, 1582–1599 (2018)

    Article  Google Scholar 

  31. Zhang, Z., Kou, X., Yu, W., Guo, C.: On priority weights and consistency for incomplete hesitant fuzzy preference relations. Knowl. Based Syst. 143, 115–126 (2017)

    Article  Google Scholar 

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

    Article  Google Scholar 

  33. Gumus, A.-T.: Evaluation of hazardous waste transportation firms by using a two step fuzzy-AHP and TOPSIS methodology. Expert. Syst. Appl. 36(2), 4067–4074 (2009)

    Article  MathSciNet  Google Scholar 

  34. Jaiswal, R., Ghosh, N.C., Lohani, A., Thomas, T.: Fuzzy AHP based multi crteria decision support for watershed prioritization. Water Resour. Manag. 29, 4205–4227 (2015)

    Article  Google Scholar 

  35. Rodrigue, J.P., Comtois, C., Slack, B.: The Geography of Transport Systems. Routledge, New York (2008)

    Google Scholar 

  36. Novák, P., Popesko, B.: Cost variability and cost behaviour in manufacturing enterprises. Econ. Sociol. 7(4), 89–103 (2014)

    Article  Google Scholar 

  37. Andersson, M., Berglund, M., Flodén, J., Persson, C., Waidringer, J.: A method for measuring and valuing transport time variability in logistics and cost benefit analysis. Res. Transp. Econ. 66, 59–69 (2017)

    Article  Google Scholar 

  38. Kengpol, A., Tuammee, S.: The development of a decision support framework for a qualitative risk assessment in multimodal green logistics: an empirical study. Int. J. Prod. Res. 54, 1020–1038 (2016)

    Article  Google Scholar 

  39. Kengpol, A., Tuammee, S., Tuominen, M.: The development of a framework for route selection in multimodal transportation. Int. J. Logist. Manag. 25(3), 581–610 (2014)

    Article  Google Scholar 

  40. Kiba-Janiak, M.: Opportunities and threats for city logistics development from a local authority perspective. J. Econ. Manag. 28(2), 23–39 (2017)

    Article  Google Scholar 

  41. Ibrahimovic, S., Franke, U.: A probabilistic approach to IT risk management in the Basel regulatory framework: a case study. J. Financ. Regul. Compliance 25(2), 176–195 (2017)

    Article  Google Scholar 

  42. Trond, S.N., Fallah, Z.: Risk perceptions, fatalism and driver behaviors in Turkey and Iran. Saf. Sci. 59, 187–192 (2013)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Knowledge Science, Japan Advanced Institute of Science and Technology, Ishikawa, 923-121, Japan

    Kwanjira Kaewfak & Van-Nam Huynh

  2. School of Management Technology, Sirindhorn International Institute of Technology, Thammasat University, Pathumthani, 12000, Thailand

    Kwanjira Kaewfak & Veeris Ammarapala

  3. NECTEC, National Science and Technology Development Agency, Pathumthani, 12120, Thailand

    Chayakrit Charoensiriwath

Authors
  1. Kwanjira Kaewfak
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Van-Nam Huynh
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Veeris Ammarapala
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Chayakrit Charoensiriwath
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Kwanjira Kaewfak .

Editor information

Editors and Affiliations

  1. Tsinghua University, Beijing, China

    Jian Chen

  2. Japan Advanced Institute of Science and Technology, Nomi, Japan

    Van Nam Huynh

  3. Duy Tan University, Da Nang, Vietnam

    Gia-Nhu Nguyen

  4. CAS Academy of Mathematics and Systems Sciences, Beijing, China

    Xijin Tang

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Kaewfak, K., Huynh, VN., Ammarapala, V., Charoensiriwath, C. (2019). A Fuzzy AHP-TOPSIS Approach for Selecting the Multimodal Freight Transportation Routes. In: Chen, J., Huynh, V., Nguyen, GN., Tang, X. (eds) Knowledge and Systems Sciences. KSS 2019. Communications in Computer and Information Science, vol 1103. Springer, Singapore. https://doi.org/10.1007/978-981-15-1209-4_3

Download citation

  • DOI: https://doi.org/10.1007/978-981-15-1209-4_3

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-1208-7

  • Online ISBN: 978-981-15-1209-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation