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リ カセイ
Ri Kasei 李 嘉誠 所属 神奈川大学 情報学部 システム数理学科 職種 助教 |
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言語種別 | 英語 |
発行・発表の年月 | 2022/03 |
形態種別 | 学術雑誌 |
査読 | 査読あり |
標題 | Research on Delivery Network Optimization Based on Crowdsourcing Theory |
執筆形態 | 共著 |
掲載誌名 | Journal of Advanced Computational Intelligence and Intelligent Informatics |
掲載区分 | 国内 |
出版社・発行元 | JACIII |
巻・号・頁 | 26(2),pp.147-159 |
著者・共著者 | J. Li, M. Noto, Y. Zhang |
概要 | 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. |