Research Article

Third-Party Logistics (3PL) Provider Selection Using Hybrid Model of SWARA and WASPAS

Volume: 7 Number: 3 December 31, 2021
TR EN

Third-Party Logistics (3PL) Provider Selection Using Hybrid Model of SWARA and WASPAS

Abstract

Increasing competition as a result of globalization forces companies to focus on the core activities they are specialized in and to use outsourcing in areas other than these core activities. Companies seek to outsource their logistics functions partially or completely since this is not in their main field of activity. Thus, companies are faced with the problem of choosing a Third Party Logistics (3PL) service provider that can contribute to their sustainable development and perfectly perform the logistics activities. In this study, the 3PL selection problem of a cable manufacturing company is discussed. The study aims to solve the business problem and to show the applicability of Multi-Criteria Decision-Making (MCDM) methods in the most appropriate 3PL selection problems. The 3PL selection was made in line with the criteria and alternatives determined by a team of decision-makers working in the relevant department of the company. First of all, the weight value of each criterion was determined by using the SWARA method based on the MCDM method. This method was chosen because it takes group decisions into account and is easy to implement. Afterward, calculations were made according to the criteria levels of each alternative service provider with the WASPAS method. In the study, 12 criteria were determined by the decision-makers. Besides, 5 different 3PL companies were taken into account. According to the results of the study, it was the third 3PL that met the criteria at the most appropriate level.

Keywords

References

  1. Alnahhal, Mohammed, Mosab I. Tabash, and Diane Ahrens. 2021. “Optimal Selection of Third-Party Logistics Providers Using Integer Programming: A Case Study of a Furniture Company Storage and Distribution.” Annals of Operations Research.
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  3. Chakraborty, Shankar, and Edmundas Kazimieras Zavadskas. 2014. “Applications of WASPAS Method in Manufacturing Decision Making.” Informatica (Netherlands).
  4. Chima, Christopher M. 2011. “Supply-Chain Management Issues In The Oil And Gas Industry.” Journal of Business & Economics Research (JBER).
  5. Coyle, J. J., C. J. Langley, R. A. Novack, and B. Gibson. 2012. “Supply Chain Network Analysis and Design.” in Supply Chain Management: A Logistics Perspective.
  6. Davoudabadi, Reza, S. Meysam Mousavi, and Ebrahim Sharifi. 2020. “An Integrated Weighting and Ranking Model Based on Entropy, DEA and PCA Considering Two Aggregation Approaches for Resilient Supplier Selection Problem.” Journal of Computational Science.
  7. Deng, Fumin, Lin Xu, Yuan Fang, Qunxi Gong, and Zhi Li. 2020. “PCA-DEA-Tobit Regression Assessment with Carbon Emission Constraints of China’s Logistics Industry.” Journal of Cleaner Production.
  8. Fan, Jianping, Runan Guan, and Meiqin Wu. 2020. “Z-MABAC Method for the Selection of Third-Party Logistics Suppliers in Fuzzy Environment.” IEEE Access.

Details

Primary Language

English

Subjects

Engineering

Journal Section

Research Article

Publication Date

December 31, 2021

Submission Date

July 18, 2021

Acceptance Date

September 12, 2021

Published in Issue

Year 2021 Volume: 7 Number: 3

APA
Akpınar, M. E. (2021). Third-Party Logistics (3PL) Provider Selection Using Hybrid Model of SWARA and WASPAS. International Journal of Pure and Applied Sciences, 7(3), 371-382. https://doi.org/10.29132/ijpas.972885
AMA
1.Akpınar ME. Third-Party Logistics (3PL) Provider Selection Using Hybrid Model of SWARA and WASPAS. International Journal of Pure and Applied Sciences. 2021;7(3):371-382. doi:10.29132/ijpas.972885
Chicago
Akpınar, Muhammet Enes. 2021. “Third-Party Logistics (3PL) Provider Selection Using Hybrid Model of SWARA and WASPAS”. International Journal of Pure and Applied Sciences 7 (3): 371-82. https://doi.org/10.29132/ijpas.972885.
EndNote
Akpınar ME (December 1, 2021) Third-Party Logistics (3PL) Provider Selection Using Hybrid Model of SWARA and WASPAS. International Journal of Pure and Applied Sciences 7 3 371–382.
IEEE
[1]M. E. Akpınar, “Third-Party Logistics (3PL) Provider Selection Using Hybrid Model of SWARA and WASPAS”, International Journal of Pure and Applied Sciences, vol. 7, no. 3, pp. 371–382, Dec. 2021, doi: 10.29132/ijpas.972885.
ISNAD
Akpınar, Muhammet Enes. “Third-Party Logistics (3PL) Provider Selection Using Hybrid Model of SWARA and WASPAS”. International Journal of Pure and Applied Sciences 7/3 (December 1, 2021): 371-382. https://doi.org/10.29132/ijpas.972885.
JAMA
1.Akpınar ME. Third-Party Logistics (3PL) Provider Selection Using Hybrid Model of SWARA and WASPAS. International Journal of Pure and Applied Sciences. 2021;7:371–382.
MLA
Akpınar, Muhammet Enes. “Third-Party Logistics (3PL) Provider Selection Using Hybrid Model of SWARA and WASPAS”. International Journal of Pure and Applied Sciences, vol. 7, no. 3, Dec. 2021, pp. 371-82, doi:10.29132/ijpas.972885.
Vancouver
1.Muhammet Enes Akpınar. Third-Party Logistics (3PL) Provider Selection Using Hybrid Model of SWARA and WASPAS. International Journal of Pure and Applied Sciences. 2021 Dec. 1;7(3):371-82. doi:10.29132/ijpas.972885

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