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A Proposal for a Decision-Making Tool in Third-Party Logistics (3PL) Provider Selection Based on Multi-Criteria Analysis and the Fuzzy Approach

Author

Listed:
  • Stefan Jovčić

    (Faculty of Transport Engineering, University of Pardubice, 532 10 Pardubice, Czech Republic)

  • Petr Průša

    (Faculty of Transport Engineering, University of Pardubice, 532 10 Pardubice, Czech Republic)

  • Momčilo Dobrodolac

    (Faculty of Transport and Traffic Engineering, University of Belgrade, 11 000 Belgrade, Serbia)

  • Libor Švadlenka

    (Faculty of Transport Engineering, University of Pardubice, 532 10 Pardubice, Czech Republic)

Abstract

The selection of a third-party logistics (3PL) provider is an important and demanding task for many companies and organizations dealing with distribution activities. To assist in decision making, this paper proposes the implementation of fuzzy logic. To design a fuzzy inference system (FIS), the first prerequisite is to determine a set of evaluation criteria and sub-criteria and to find the relationship between them. This task was solved by an extensive review of the literature and expert opinions on implementing the Fuzzy Analytic Hierarchy Process (AHP) approach. The results obtained in the first part of the research, together with data collected from 20 3PL providers, were further used in the second part, which was related to the implementation of the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method. Finally, a decision-making tool for 3PL provider selection was designed as an FIS structure, where the inputs were the previously defined criteria and the output was a preference for 3PL selection. The fuzzy rules were generated on the basis of the collected empirical data, the preferences obtained by the TOPSIS method, and expert opinion using the Wang–Mendel method. The proposed fuzzy model is particularly suitable when input data are not crisp values but are provided descriptively through linguistic statements.

Suggested Citation

  • Stefan Jovčić & Petr Průša & Momčilo Dobrodolac & Libor Švadlenka, 2019. "A Proposal for a Decision-Making Tool in Third-Party Logistics (3PL) Provider Selection Based on Multi-Criteria Analysis and the Fuzzy Approach," Sustainability, MDPI, vol. 11(15), pages 1-23, August.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:15:p:4236-:d:255009
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    References listed on IDEAS

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    1. Cheng, Ching-Hsue & Yang, Kuo-Lung & Hwang, Chia-Lung, 1999. "Evaluating attack helicopters by AHP based on linguistic variable weight," European Journal of Operational Research, Elsevier, vol. 116(2), pages 423-435, July.
    2. R. E. Bellman & L. A. Zadeh, 1970. "Decision-Making in a Fuzzy Environment," Management Science, INFORMS, vol. 17(4), pages 141-164, December.
    3. Cheng, Ching-Hsue, 1997. "Evaluating naval tactical missile systems by fuzzy AHP based on the grade value of membership function," European Journal of Operational Research, Elsevier, vol. 96(2), pages 343-350, January.
    4. W C Tsai, 2009. "Fuzzy measures of supplier evaluation under lean concepts," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(7), pages 1005-1011, July.
    5. Korpela, Jukka & Tuominen, Markku, 1996. "A decision aid in warehouse site selection," International Journal of Production Economics, Elsevier, vol. 45(1-3), pages 169-180, August.
    6. S Yahya & B Kingsman, 1999. "Vendor rating for an entrepreneur development programme: a case study using the analytic hierarchy process method," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 50(9), pages 916-930, September.
    7. Weber, Charles A. & Current, John R. & Benton, W. C., 1991. "Vendor selection criteria and methods," European Journal of Operational Research, Elsevier, vol. 50(1), pages 2-18, January.
    8. Aguezzoul, Aicha, 2014. "Third-party logistics selection problem: A literature review on criteria and methods," Omega, Elsevier, vol. 49(C), pages 69-78.
    9. Ho, William & Ma, Xin, 2018. "The state-of-the-art integrations and applications of the analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 267(2), pages 399-414.
    10. Y H Yang & Y V Hui & L C Leung & G Chen, 2010. "An analytic network process approach to the selection of logistics service providers for air cargo," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(9), pages 1365-1376, September.
    11. Liu, Fuh-Hwa Franklin & Hai, Hui Lin, 2005. "The voting analytic hierarchy process method for selecting supplier," International Journal of Production Economics, Elsevier, vol. 97(3), pages 308-317, September.
    12. Kannan Govindan & Vernika Agarwal & Jyoti Dhingra Darbari & P. C. Jha, 2019. "An integrated decision making model for the selection of sustainable forward and reverse logistic providers," Annals of Operations Research, Springer, vol. 273(1), pages 607-650, February.
    13. Berna Bulgurcu, 2018. "An extent analysis of 3PL provider selection criteria: A case on Turkey cement sector," Cogent Business & Management, Taylor & Francis Journals, vol. 5(1), pages 1469183-146, January.
    14. Rajesh Kr. Singh & Angappa Gunasekaran & Pravin Kumar, 2018. "Third party logistics (3PL) selection for cold chain management: a fuzzy AHP and fuzzy TOPSIS approach," Annals of Operations Research, Springer, vol. 267(1), pages 531-553, August.
    15. Edmundas Kazimieras Zavadskas & Abbas Mardani & Zenonas Turskis & Ahmad Jusoh & Khalil MD Nor, 2016. "Development of TOPSIS Method to Solve Complicated Decision-Making Problems — An Overview on Developments from 2000 to 2015," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 15(03), pages 645-682, May.
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    6. Stefan Jovčić & Petr Průša, 2021. "A Hybrid MCDM Approach in Third-Party Logistics (3PL) Provider Selection," Mathematics, MDPI, vol. 9(21), pages 1-19, October.

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