JACIII Vol.26 No.2 pp. 147-159
doi: 10.20965/jaciii.2022.p0147


Research on Delivery Network Optimization Based on Crowdsourcing Theory

Jiacheng Li*, Masato Noto*, and Yang Zhang**

*Department of Electrical, Electronics and Information Engineering, Kanagawa University
3-27-1 Rokkakubashi, Kanagawa-ku, Yokohama, Kanagawa 221-8686, Japan

**Graduate School of Science and Engineering, Hosei University
3-7-2 Kajino-cho, Koganei, Tokyo 184-8584, Japan

May 20, 2021
December 27, 2021
March 20, 2022
takeaway fast food, crowdsourcing distribution, order allocation, path optimization

Under a new wave of technological revolution and industrial change, Internet plus has penetrated into every aspect of production and life. For the traditional takeout industry, the new crowdsourcing distribution mode based on o2o (online to offline) provides new ideas for distribution but also leads to great challenges. In view of the existing development problems and transformation needs of the delivery network, this paper explores the delivery mechanism of delivery orders in crowdsourcing mode, focusing on the delivery path and work efficiency. To optimize the delivery network, taking the shortest delivery path and the least time delay as objectives, this paper establishes a crowdsourcing delivery path optimization model with a time window and includes an example application model. The results show that the model can solve the delivery problem in crowdsourcing mode.

Distribution routes of crowdsourcing workers (a)-(j)

Distribution routes of crowdsourcing workers (a)-(j)

Cite this article as:
J. Li, M. Noto, and Y. Zhang, “Research on Delivery Network Optimization Based on Crowdsourcing Theory,” J. Adv. Comput. Intell. Intell. Inform., Vol.26 No.2, pp. 147-159, 2022.
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Last updated on Jun. 19, 2024