頁籤選單縮合
題名 | AP Clustering Algorithm for Analysis of the Impact of Cold Chain Distribution Center Location on Logistics Costs |
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作者姓名(外文) | He, Kun; | 書刊名 | 工業工程學刊 |
卷期 | 40:8 2023.12[民112.12] |
頁次 | 頁661-676 |
分類號 | 496.8 |
關鍵詞 | AP clustering algorithm; Cost; Distribution center; Cold chain logistics; Site selection; |
語文 | 英文(English) |
DOI引用網址 | 10.1080/21681015.2023.2257211 |
英文摘要 | The distribution center is a transit place for goods in the logistics network, used to achieve the distribution of goods. Compared with ordinary logistics, cold chain logistics has higher requirements for timeliness due to the low temperature or ultra-low temperature requirements of transport objects. Aiming at the problems of high cost and low efficiency of cold chain distribution center location, a new location model of cold chain distribution center is developed. The Affinity Propagation (AP) clustering algorithm is used to simplify location selection. And combine the binary semantics with entropy to reduce the subjectivity of the binary semantics in the process of experiment. The results show that the location selection using the research method is optimal, and the problem that multiple secondary distribution centers are the same retailer will not appear. The research method is more objective and scientific for the location of cold chain distribution centers. Compared with ordinary logistics, cold chain logistics has higher requirements for timeliness. Distribution center is the transfer place of goods in the logistics network, which plays an important role in the logistics supply chain system. A new location model of cold chain distribution center is developed. Using Affinity Propagation (AP) clustering algorithm to simplify location selection and combining binary semantics with entropy method can further improve the objectivity of influencing factor index weights. The results show that the problem of multiple secondary distribution centers providing logistics services for the same retailer will not occur in the research method, and the location selection results are optimal. And the logistics cost can be reduced by 0.042%. This study improves the distribution efficiency, enhances the customer experience of cold chain logistics distribution, and provides certain technology and reference value for the development of cold chain logistics distribution. |
本系統之摘要資訊系依該期刊論文摘要之資訊為主。