Selection of Logistics Service Provider for E-Commerce by using Fuzzy Grey Relational Analysis

Sirang Klankamsorn

Authors

Sirang Klankamsorn Department of Industrial Engineering, Faculty of Engineering, Kasetsart University, Sriracha Campus, Chonburi, Thailand

Keywords:

E-Commerce, Logistics Service Provider, Grey Relational Analysis, Triangular Fuzzy Number

Abstract

E-commerce is a business that sells goods and services via computer networks and electronic media, which requires efficient logistics and operational technology. For this reason, many logistics service providers have developed technology to link with electronic commerce management systems. This research presents the selection of logistics service providers for entrepreneurs in E-commerce businesses using fuzzy grey relational analysis. The results of the study revealed that entrepreneurs in the E-commerce business would select logistics service providers with the highest grey relationship grade. The main factors in selecting logistics service providers consist of transportation, data management capabilities, service level and warehouse management.

References

Adiguzel, Z., 2020, Tools and Techniques for Implementing International E-Trading Tactics for Competitive Advantage, IGI Global Publisher, Pennsylvania, 395 p.

Farahani, R., Rezapour, S. and Kardar, L., 2011, Logistics Operations and Management: Concepts and Models, Elsevier Publisher, Texas, 486 p.

Delfmann, W., Albers, S. and Gehring, M., 2002, “The Impact of Electronic Commerce on Logistics Service Providers,” International Journal of Physical Distribution & Logistics Management, 32 (3), pp. 203–222.

Frimpong, N.K., 2019, Customer Satisfaction in E-Commerce: The Role of Logistics Service Providers and E-Commerce Companies, Master of ScienceThesis, Supply Chain Engineering and Management, Graduate Program Constructor University, Germany.

Majchrzak-Lepczyk, J. and Blašková, M., 2019, Value for the Customer in the Logistics Service of E-commerce, Chapter in Smart Supply Network, Springer, New York, pp. 223-239.

Yu, Y., Wang, X., Zhong, R.Y. and Huang, G.Q., 2016. “E-commerce Logistics in Supply Chain Management: Practice Perspective,” Procedia CIRP, 52, pp. 179-185.

Farahani, R., Rezapour, S. and Kardar, L., 2018, “Design of an Enhanced Logistics Service Provider Selection Model for e-Commerce Application,” The 2018 Portland International Conference on Management of Engineering and Technology, August 2018, Hawaii, USA, pp. 1-7.

Upadhyay, A., Shukla, A.C. and Shukla, T., 2019, “E-Commerce Logistics Service Quality Analysis: A Case Study,” Industrial Engineering Journal, 12 (9), pp. 1-13.

Naseem, M.H., Yang, J. and Xiang, Z., 2021, “Selection of Logistics Service Provider for the E-Commerce Companies in Pakistan Based on Integrated GRA-TOPSIS Approach,” Axioms, 10 (3), pp. 1-17.

Nuengphasuk, M. and Samanchuen, T., 2019, “Selection of Logistics Service Provider for e-Commerce Using AHP and TOPSIS: A Case Study of SMEs in Thailand,” The 2019 Technology Innovation Management and Engineering Science International Conference, December 2019, Bangkok, Thailand, pp. 1-5.

Kayikci, Y., 2019, “E-Commerce in Logistics and Supply Chain Management,” Chapter in Advanced Methodologies and Technologies in Business Operations and Management, IGI Global Publisher, Pennsylvania, pp. 1015-1026.

Xianglian, C. and Hua, L., 2013, “Research on E-Commerce Logistics System Informationization in China,” Procedia-Social and Behavioral Sciences, 96, pp. 838-843.

Julong, D., 1989, “Introduction to Grey System Theory,” The Journal of Grey System, 1, pp. 1-24.

Liu, S., Forrest, J. and Yang, Y., 2012, “A Brief Introduction to Grey Systems Theory,” Grey Systems: Theory and Applications, 2 (2), pp. 89–104.

Zhang, H., Zhang, G. and Zhou, B., 2007, “Integration and Innovation Orient to E-Society Volume l,” pp. 211-221, in W. Wang (Ed.) IFIP International Federation for Information Processing, Vol. 251, Springer, Boston.

Ebrahimi, S. and Golkar, B., 2020, “A Hybrid Framework to Select Logistics Service Providers,” Proceedings of the 5th NA International Conference on Industrial Engineering and Operations Management, August 2020, Michigan, USA, pp. 3384-3395.

Cheng, C.B., 2004, “Group opinion Aggregation based on a Grading Process: A Method for Constructing triangular Fuzzy Numbers,” Computers and Mathematics with Applications, 48 (10-11), pp. 1619-1632.

Anand, C.J. and Bharatraj, J., 2017, “Theory of Triangular Fuzzy Number,” Proceedings of the 4th Advances in Technology & Management, March 2017, Vellore, India, pp. 80-83.

Deng, J., 1982, “Control Problems of Grey Systems,” Systems and Control Letters, 1 (5), pp. 288-294.

Karimi, A., Ahmadpour, B. and Marjani, M.R., 2018, “Using the Fuzzy Grey Relational Analysis Method in Wastewater Treatment Process Selection,” Iranian Journal of Health, Safety & Environment, 5 (3), pp. 1041-1050.

Ertugrul, I., Oztas, T., Ozcil, A. and Oztas, G.Z., 2016, “Grey Relational Analysis Approach in Academic Performance Comparison of University: A Case Study of Turkish Universities,” European Scientific Journal, Special Edition, pp. 128-139.