DocumentCode :
2226761
Title :
The fragmented warehouse: Location assignment for unit-load picking
Author :
Ho, S.S. ; Sarma, S.
Author_Institution :
Dept. of Mech. Eng., Massachusetts Inst. of Technol., Cambridge, MA, USA
fYear :
2008
fDate :
8-11 Dec. 2008
Firstpage :
1159
Lastpage :
1163
Abstract :
In traditional warehouses, all items of the same stock-keeping units (SKUs) are usually co-located. However, the emergence of automatic identification and tracking technologies like RFID, enables us to consider free-form storage. We consider the strategy of storing identical items in a fragmented manner. The storage of identical SKUs in different locations creates new optimization opportunities by enabling more numerous picking route choices beyond standard unique location sets. Multiple storage location problems are not as well understood as the co-located storage case, and the complexity is greater. We present an abstract warehouse model to explore the storage location assignment problem in warehouse systems involving unit-load order picking and illustrate how multiple copies of items affect optimal location assignment. We introduce a provably optimal strategy involving a concept called ¿order pressure.¿ We provide an optimal arrangement method for unit-load pick-orders and show how relative item probabilities affect clustering and distribution.
Keywords :
planning; radiofrequency identification; stock control; warehousing; RFID; abstract warehouse model; automatic identification; automatic tracking; fragmented warehouse; free-form storage; multiple storage location problems; optimal arrangement method; optimal location assignment; order pressure; stock-keeping units; storage location assignment problem; unit-load pick-orders; warehouse systems; Cost function; Frequency; Interleaved codes; Material storage; Mechanical engineering; Mobile robots; Radiofrequency identification; Shape; Storage automation; Warehousing; location assignment; order picking; warehouse storage planning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Engineering and Engineering Management, 2008. IEEM 2008. IEEE International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-2629-4
Electronic_ISBN :
978-1-4244-2630-0
Type :
conf
DOI :
10.1109/IEEM.2008.4738052
Filename :
4738052
Link To Document :
بازگشت