CUED Publications database

Adaptive storage location assignment for warehouses using intelligent products

Tsamis, N and Giannikas, V and McFarlane, D and Lu, W and Strachan, J (2015) Adaptive storage location assignment for warehouses using intelligent products. Studies in Computational Intelligence, 594. pp. 271-279. ISSN 1860-949X

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© Springer International Publishing Switzerland 2015. Due to rapidly changing customer preferences, order-picking has become a bottleneck for the efficiency of the order fulfilment process and in turn a burden to the customer satisfaction of warehouse companies. Improved storage location assignment of newly delivered products is one effective method for improving the picking performance. However, most of the available storage policies provide static solutions that do not deal with frequent changes in order demand characteristics. This study aims to identify a potential solution by developing a distributed, adaptive strategy for the storage location assignment problem and follows the product intelligence paradigm for its implementation. The efficiency of such a strategy in real industrial systems is explored via a simulation study using data from a local e-commerce fulfilment warehouse.

Item Type: Article
Divisions: Div E > Manufacturing Systems
Div E > Production Processes
Depositing User: Unnamed user with email
Date Deposited: 17 Jul 2017 19:42
Last Modified: 22 Oct 2019 07:01
DOI: 10.1007/978-3-319-15159-5_25