Research on Enterprise Supply Chain Optimization Model and Algorithm Based on Fuzzy Clustering
Reasonable logistics distribution network structure can not only effectively reduce the cost of logistics enterprises themselves but also reduce the social cost. Through effective supply chain management, enterprises can significantly reduce costs, improve competitiveness, and enhance their ability...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Journal of Mathematics |
| Online Access: | http://dx.doi.org/10.1155/2021/4827903 |
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| _version_ | 1832566450684952576 |
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| author | Shizhen Bai Hongbin Sun |
| author_facet | Shizhen Bai Hongbin Sun |
| author_sort | Shizhen Bai |
| collection | DOAJ |
| description | Reasonable logistics distribution network structure can not only effectively reduce the cost of logistics enterprises themselves but also reduce the social cost. Through effective supply chain management, enterprises can significantly reduce costs, improve competitiveness, and enhance their ability to resist risks. Because the single-level distribution network structure of production enterprises is not suitable for large-scale logistics distribution, this paper proposes a distribution network structure design that accords with economies of scale and establishes an enterprise supply chain optimization model based on the fuzzy clustering algorithm. Using this optimization method to optimize the inventory of enterprise logistics supply chain, the operation is fast, the result is correct and reasonable, and it can provide good decision support for the distribution network of logistics enterprises. Through information technology and modern management technology, we should effectively control and coordinate the logistics, information flow, and capital flow in the production and operation process and organically integrate the internal supply chain with the external supply chain for management, so as to achieve the goal of global optimization. |
| format | Article |
| id | doaj-art-fb21439f855c4d9b8c93b0ecf3a9321e |
| institution | Kabale University |
| issn | 2314-4785 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Mathematics |
| spelling | doaj-art-fb21439f855c4d9b8c93b0ecf3a9321e2025-02-03T01:04:16ZengWileyJournal of Mathematics2314-47852021-01-01202110.1155/2021/4827903Research on Enterprise Supply Chain Optimization Model and Algorithm Based on Fuzzy ClusteringShizhen Bai0Hongbin Sun1School of ManagementSchool of ManagementReasonable logistics distribution network structure can not only effectively reduce the cost of logistics enterprises themselves but also reduce the social cost. Through effective supply chain management, enterprises can significantly reduce costs, improve competitiveness, and enhance their ability to resist risks. Because the single-level distribution network structure of production enterprises is not suitable for large-scale logistics distribution, this paper proposes a distribution network structure design that accords with economies of scale and establishes an enterprise supply chain optimization model based on the fuzzy clustering algorithm. Using this optimization method to optimize the inventory of enterprise logistics supply chain, the operation is fast, the result is correct and reasonable, and it can provide good decision support for the distribution network of logistics enterprises. Through information technology and modern management technology, we should effectively control and coordinate the logistics, information flow, and capital flow in the production and operation process and organically integrate the internal supply chain with the external supply chain for management, so as to achieve the goal of global optimization.http://dx.doi.org/10.1155/2021/4827903 |
| spellingShingle | Shizhen Bai Hongbin Sun Research on Enterprise Supply Chain Optimization Model and Algorithm Based on Fuzzy Clustering Journal of Mathematics |
| title | Research on Enterprise Supply Chain Optimization Model and Algorithm Based on Fuzzy Clustering |
| title_full | Research on Enterprise Supply Chain Optimization Model and Algorithm Based on Fuzzy Clustering |
| title_fullStr | Research on Enterprise Supply Chain Optimization Model and Algorithm Based on Fuzzy Clustering |
| title_full_unstemmed | Research on Enterprise Supply Chain Optimization Model and Algorithm Based on Fuzzy Clustering |
| title_short | Research on Enterprise Supply Chain Optimization Model and Algorithm Based on Fuzzy Clustering |
| title_sort | research on enterprise supply chain optimization model and algorithm based on fuzzy clustering |
| url | http://dx.doi.org/10.1155/2021/4827903 |
| work_keys_str_mv | AT shizhenbai researchonenterprisesupplychainoptimizationmodelandalgorithmbasedonfuzzyclustering AT hongbinsun researchonenterprisesupplychainoptimizationmodelandalgorithmbasedonfuzzyclustering |