Intelligent Logistics Supplier Selection Based On Improved Agglomerative Hierarchical Clustering Algorithm

Most enterprises concentrate on their own core industries and cannot independently complete non-core business logistics activities. One way to solve this problem is logistics outsourcing. Therefore, how to select suitable logistics suppliers has become the key to meet the logistics needs of enterpri...

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Vydáno v:IEEE International Conference on Industrial Informatics (INDIN) Ročník 1; s. 1309 - 1314
Hlavní autoři: ZHANG, Yajie, LV, Yaqiong, TU, Lei, HOU, Yueqiu
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.07.2019
Témata:
Analytic hierarchy process
Classification algorithms
Clustering algorithms
Clustering Analysis
Clustering methods
Diversity reception
Hierarchical Clustering
Indexes
Industries
Informatics
Logistics
Logistics Demand
Outsourcing
Supplier Selection
ISSN:2378-363X
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Shrnutí:Most enterprises concentrate on their own core industries and cannot independently complete non-core business logistics activities. One way to solve this problem is logistics outsourcing. Therefore, how to select suitable logistics suppliers has become the key to meet the logistics needs of enterprises. Combining with the existing supplier selection index system and the logistics demand of enterprises, this paper chooses four aspects which can reflect the comprehensive strength of suppliers according to the theoretical basis of selecting third-party logistics suppliers. This paper subdivides these four aspects, summarizes 10 evaluation indicators of supplier selection, and establishes a relatively scientific and reasonable index system. Then, the weight of each index is determined by analytic hierarchy process. For supplier processing, clustering analysis is used to classify supplier types. By comparing and analyzing the advantages and disadvantages of three common-used clustering methods, this paper proposed an improved hierarchical clustering method, which can effectively determine the cluster center coordinates and improve the accuracy of supplier classification. Finally, a comprehensive evaluation method of third-party logistics suppliers is established by combining the weights determined by the analytic hierarchy process with the clustering results.
ISSN:2378-363X
DOI:10.1109/INDIN41052.2019.8972146