DocumentCode :
1883336
Title :
A non-linear model for the classification of stored items in supply chain management
Author :
Rad, Seyed Yaser Bozorgi ; Rad, Mir Abbas Bozorgi ; Desa, Mohammad Ishak ; Behnam, Sarah ; Lessanibahri, Sina
Author_Institution :
Fac. of Comput. Sci. & Inf. Syst., Univ. Teknol. Malaysia, Skudai, Malaysia
Volume :
3
fYear :
2010
fDate :
15-17 June 2010
Firstpage :
1636
Lastpage :
1641
Abstract :
With the significant role that warehouse plays in connection to suppliers, distributors, and clients, and considering the costliness of storage systems, efforts have focused on the reduction of procedural expenses. Among the most significant expenses, one involves the distance traveled by operators or S/R machinery for the selection of ordered items; the common solution to which has been through the classification of stored items. Previous articles have focused on linear solutions to the abovementioned problem, such as P-Median. This article shall focus on the problems arising from the said solution, and instead a non-linear method proposed. Further, a heuristic algorithm is produced for the solution that will be compared to similar solutions through Lingo, proving acceptable results.
Keywords :
pattern classification; supply chain management; warehousing; P-Median; heuristic algorithm; linear solutions; nonlinear model; ordered items selection; storage system costliness; stored item classification; supply chain management; warehouse; Algorithm design and analysis; Classification algorithms; Matrix converters; Resource management; Software algorithms; Transportation; Clustering; Heuristic; P-Median; Supply Chain;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology (ITSim), 2010 International Symposium in
Conference_Location :
Kuala Lumpur
ISSN :
2155-897
Print_ISBN :
978-1-4244-6715-0
Type :
conf
DOI :
10.1109/ITSIM.2010.5561501
Filename :
5561501
Link To Document :
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