標題: The adaptive approach for storage assignment by mining data of warehouse management system for distribution centres
作者: Chiang, David Ming-Huang
Lin, Chia-Ping
Chen, Mu-Chen
運輸與物流管理系 註:原交通所+運管所
Department of Transportation and Logistics Management
關鍵字: enterprise information systems;business planning and logistics;warehousing;storage assignment;order picking;data mining;association rules
公開日期: 2011
摘要: Among distribution centre operations, order picking has been reported to be the most labour-intensive activity. Sophisticated storage assignment policies adopted to reduce the travel distance of order picking have been explored in the literature. Unfortunately, previous research has been devoted to locating entire products from scratch. Instead, this study intends to propose an adaptive approach, a Data Mining-based Storage Assignment approach (DMSA), to find the optimal storage assignment for newly delivered products that need to be put away when there is vacant shelf space in a distribution centre. In the DMSA, a new association index (AIX) is developed to evaluate the fitness between the put away products and the unassigned storage locations by applying association rule mining. With AIX, the storage location assignment problem (SLAP) can be formulated and solved as a binary integer programming. To evaluate the performance of DMSA, a real-world order database of a distribution centre is obtained and used to compare the results from DMSA with a random assignment approach. It turns out that DMSA outperforms random assignment as the number of put away products and the proportion of put away products with high turnover rates increase.
URI: http://hdl.handle.net/11536/26007
http://dx.doi.org/10.1080/17517575.2010.537784
ISSN: 1751-7575
DOI: 10.1080/17517575.2010.537784
期刊: ENTERPRISE INFORMATION SYSTEMS
Volume: 5
Issue: 2
起始頁: 219
結束頁: 234
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