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Hokkaido University Collection of Scholarly and Academic Papers >
Graduate School of Information Science and Technology / Faculty of Information Science and Technology >
Peer-reviewed Journal Articles, etc >
ネットワークトポロジーを考慮した自己組織化マップによる商品配置方法の提案
| Title: | ネットワークトポロジーを考慮した自己組織化マップによる商品配置方法の提案 |
| Other Titles: | Proposing Storage Location Assignment Using Self-Organizing Map on Network Topology |
| Authors: | 南, 賢一1 Browse this author | | 飯塚, 博幸2 Browse this author →KAKEN DB | | 古川, 正志3 Browse this author →KAKEN DB | | 山本, 雅人4 Browse this author →KAKEN DB |
| Authors(alt): | Minami, Kenichi1 | | Iizuka, Hiroyuki2 | | Furukawa, Masashi3 | | Yamamoto, Masahito4 |
| Keywords: | Storage Location Assignment | | Self-Organizing Map | | Network Topology |
| Issue Date: | 2015 |
| Publisher: | 社団法人人工知能学会 |
| Journal Title: | 人工知能学会論文誌 |
| Volume: | 30 |
| Issue: | 6 |
| Start Page: | 737 |
| End Page: | 744 |
| Publisher DOI: | 10.1527/tjsai.30-6_JWEIN-H |
| Abstract: | The distribution center became more important because the growth of the internet enabled us to buy various products easily on the Internet. In the distribution center, one of the main works is order picking which is to carry the products from shelves of the warehouse according to the orders received from customers. Efficient order picking reduces the large amount of work and the improvement of the order picking is necessary in a larger distribution center. It is important for order picking not only to give workers a good tour plan but also to assign products to the storage shelves in the distribution center. It is known that it is effective to consider frequency order and frequency of co-occurrence at the same time for storage location assignment. The conventional studies proposes the class-based method for frequency order and evaluation function to evaluate frequency order and co-occurrence of orders at the same time. This study proposes a novel method how to assign products to the storage using a co-occurrence network of ordered products and self-organizing map on network topology of the warehouse. Our proposed method is compared with the conventional studies and our experiments show that our proposed method can be more effective than the conventional methods. |
| Type: | article |
| URI: | http://hdl.handle.net/2115/64556 |
| Appears in Collections: | 情報科学院・情報科学研究院 (Graduate School of Information Science and Technology / Faculty of Information Science and Technology) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
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Submitter: 山本 雅人
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