Omni-Channel Product Distribution Network Design by Using the Improved Particle Swarm Optimization Algorithm
Distribution network under Omni-Channel integration contains many levels. There are one or more dealers at each level which forms a many-to-many distribution network. Consumers purchase a wide variety of products and their demands are uncertain, which constitutes a complex demand network and increas...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2019-01-01
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| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2019/1520213 |
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| _version_ | 1849409690625114112 |
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| author | Si Zhang Heying Zhu Xia Li Yan Wang |
| author_facet | Si Zhang Heying Zhu Xia Li Yan Wang |
| author_sort | Si Zhang |
| collection | DOAJ |
| description | Distribution network under Omni-Channel integration contains many levels. There are one or more dealers at each level which forms a many-to-many distribution network. Consumers purchase a wide variety of products and their demands are uncertain, which constitutes a complex demand network and increases the complexity of the supply chain network. This paper focuses on the integrated optimization of supply chain distribution network and demand network and constructs the joint randomization planning model of location and routing. The goal is to minimize the total costs of the supply chain network under uncertain customer demands. Based on the traditional particle swarm optimization (PSO), this study introduces the collaborative idea to reduce the coding dimension, improves the boundary processing strategy, and adopts the mutation operator to expand the search space. A case study of distribution under Omni-Channel integration in a large enterprise was done. The validity of the model and the effectiveness of the proposed method were verified by numerical experiments. |
| format | Article |
| id | doaj-art-81fe7ea0ec5d4326a907bbbd9bb941d7 |
| institution | Kabale University |
| issn | 1026-0226 1607-887X |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-81fe7ea0ec5d4326a907bbbd9bb941d72025-08-20T03:35:24ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2019-01-01201910.1155/2019/15202131520213Omni-Channel Product Distribution Network Design by Using the Improved Particle Swarm Optimization AlgorithmSi Zhang0Heying Zhu1Xia Li2Yan Wang3School of Management, Shanghai University, Shanghai 200444, ChinaSchool of Management, Shanghai University, Shanghai 200444, ChinaSchool of Management, Shanghai University, Shanghai 200444, ChinaSchool of Management, Shanghai University, Shanghai 200444, ChinaDistribution network under Omni-Channel integration contains many levels. There are one or more dealers at each level which forms a many-to-many distribution network. Consumers purchase a wide variety of products and their demands are uncertain, which constitutes a complex demand network and increases the complexity of the supply chain network. This paper focuses on the integrated optimization of supply chain distribution network and demand network and constructs the joint randomization planning model of location and routing. The goal is to minimize the total costs of the supply chain network under uncertain customer demands. Based on the traditional particle swarm optimization (PSO), this study introduces the collaborative idea to reduce the coding dimension, improves the boundary processing strategy, and adopts the mutation operator to expand the search space. A case study of distribution under Omni-Channel integration in a large enterprise was done. The validity of the model and the effectiveness of the proposed method were verified by numerical experiments.http://dx.doi.org/10.1155/2019/1520213 |
| spellingShingle | Si Zhang Heying Zhu Xia Li Yan Wang Omni-Channel Product Distribution Network Design by Using the Improved Particle Swarm Optimization Algorithm Discrete Dynamics in Nature and Society |
| title | Omni-Channel Product Distribution Network Design by Using the Improved Particle Swarm Optimization Algorithm |
| title_full | Omni-Channel Product Distribution Network Design by Using the Improved Particle Swarm Optimization Algorithm |
| title_fullStr | Omni-Channel Product Distribution Network Design by Using the Improved Particle Swarm Optimization Algorithm |
| title_full_unstemmed | Omni-Channel Product Distribution Network Design by Using the Improved Particle Swarm Optimization Algorithm |
| title_short | Omni-Channel Product Distribution Network Design by Using the Improved Particle Swarm Optimization Algorithm |
| title_sort | omni channel product distribution network design by using the improved particle swarm optimization algorithm |
| url | http://dx.doi.org/10.1155/2019/1520213 |
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