DocumentCode :
393513
Title :
A determination method of product allocation schedule for warehouse management
Author :
Takahama, H. ; Nishi, T. ; Konishi, M. ; Imai, J.
Author_Institution :
Nichicon Corp., Shiga, Japan
Volume :
2
fYear :
2002
fDate :
5-7 Aug. 2002
Firstpage :
1004
Abstract :
The warehousing system consists of several storage space, pallets and overhead crane conveying the products. Due to the complexity of the movements of the products in warehousing system, it is difficult to obtain a reasonable schedule for product allocation. In this paper, we propose a determination method for product allocation schedule in automated warehousing system by using the simulation-based optimization method. The simulation module is composed of product receiving and product picking simulator. Several heuristic rules are investigated by using the developed simulator. It was confirmed that the location of received products highly influences the handling cost for picking the products and total distance traveled by the overhead crane. In order to optimize the storage location of products, the optimization system using simulated annealing method is also developed. The performances of a large scale problem derived by the proposed system are considerably improved compared with those derived by heuristic algorithm.
Keywords :
cranes; heuristic programming; resource allocation; simulated annealing; stock control; automated warehousing system; heuristic rules; overhead crane; pallets; product allocation schedule determination method; simulated annealing; simulation-based optimization method; storage location optimization; storage space; warehouse management; Costs; Cranes; Heuristic algorithms; Humans; Large-scale systems; Optimization methods; Scheduling; Simulated annealing; Supply chain management; Warehousing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
SICE 2002. Proceedings of the 41st SICE Annual Conference
Print_ISBN :
0-7803-7631-5
Type :
conf
DOI :
10.1109/SICE.2002.1195307
Filename :
1195307
Link To Document :
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