Research on Evaluation of Logistics Distribution Mode of Take-out Platform
- DOI
- 10.2991/edmi-19.2019.120How to use a DOI?
- Keywords
- O2O e-commerce; take-out platform; MeiTuan take-out; AHP; fuzzy comprehensive evaluation.
- Abstract
Under the current background of rapid economic and technological development and government and various departments' policy support, the Internet has developed rapidly, which has also promoted the establishment of the take-out platform and accelerated the development of the traditional catering industry. The take-out platform has broad prospects in China, but it is still in the development stage, and there are still many problems in the establishment of the distribution system. The key to optimizing the distribution system is to have a certain understanding of the distribution mode of the platform and to choose a reasonable distribution mode according to the actual situation. This paper firstly expounds the distribution characteristics of the external sales platform, establishes the evaluation index system of the take-out platform, and then starts from the current situation and problems of the export group of Nantong City, the design of the questionnaire to collect data, and the distribution of the MeiTuan through the AHP method and the fuzzy comprehensive evaluation method. The model is analyzed and evaluated to select a more appropriate distribution model for Nantong City.
- Copyright
- © 2019, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Zhitan Feng AU - Minxin Ji AU - Hui Shen PY - 2019/08 DA - 2019/08 TI - Research on Evaluation of Logistics Distribution Mode of Take-out Platform BT - Proceedings of the 1st International Symposium on Economic Development and Management Innovation (EDMI 2019) PB - Atlantis Press SP - 694 EP - 702 SN - 2352-5428 UR - https://doi.org/10.2991/edmi-19.2019.120 DO - 10.2991/edmi-19.2019.120 ID - Feng2019/08 ER -