Research on Crowd-Sourcing Distribution Path Considering Real-Time Customer Demand

DOI

10.2991/aebmr.k.201211.091How to use a DOI?

Keywords

Crowd-sourcing distribution, path optimization, real-time customer demand, differential evolution algorithm

Abstract

With the rapid development of crowd-sourcing distribution, most of the existing researches focus on the path optimization of single distribution, and few consider the dynamic customer demand. Based on this, under certain assumptions, fuzzy time window is introduced to express customer satisfaction, which is constrained by achieving the expected customer satisfaction of the platform. On the basis of static model, considering the characteristics of real-time order generation, the dynamic model is built by delay processing. Through the example analysis, the dynamic model uses the way of delay processing and inserting orders to carry out the order integration distribution, solves some problems in the distribution network under the crowd-sourcing mode, effectively reduces the number of crowd-sourcing distributors, and reduces the overall distribution cost. The validity of the model is verified.

Copyright

© 2020, 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/).

Download article (PDF)

TY  - CONF
AU  - Jing Wang
AU  - Zhuzhi Shen
PY  - 2020
DA  - 2020/12/14
TI  - Research on Crowd-Sourcing Distribution Path Considering Real-Time Customer Demand
BT  - Proceedings of the Fifth International Conference on Economic and Business Management (FEBM 2020)
PB  - Atlantis Press
SP  - 537
EP  - 541
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.201211.091
DO  - 10.2991/aebmr.k.201211.091
ID  - Wang2020
ER  -