DocumentCode
2740109
Title
Optimizing a Stochastic Warehouse using Particle Swarm Optimization
Author
Brodersen, O. ; Schumann, M.
Author_Institution
Univ. of Goettingen, Gottingen
fYear
2007
fDate
5-7 Sept. 2007
Firstpage
449
Lastpage
449
Abstract
Particle Swarm Optimization is a population based search strategy based on the idea of the simulation of bird flocks. In this paper we will introduce an application of the PSO to a management problem. The simulated stochastic 2-product-warehouse with the parameters order amount and safety stock is a capital oriented model with the goal to maximize the amount of money. PSO finds better values for order amount and safety stock compared to a partial enumeration of the problem parameters.
Keywords
inventory management; particle swarm optimisation; search problems; stochastic processes; warehousing; PSO population based search strategy; management problem; particle swarm optimization; simulated stochastic 2-product-warehouse; Birds; Concrete; Costs; Management information systems; Optimization methods; Particle swarm optimization; Procurement; Product safety; Stochastic processes; Stochastic systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Innovative Computing, Information and Control, 2007. ICICIC '07. Second International Conference on
Conference_Location
Kumamoto
Print_ISBN
0-7695-2882-1
Type
conf
DOI
10.1109/ICICIC.2007.434
Filename
4428091
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