DocumentCode :
3594985
Title :
A New Genetic Algorithm for Order-Picking of Irregular Warehouse
Author :
Haijun, Zhang ; Bingwu, Liu
Author_Institution :
Commun. Inst., Beijing WUZI Univ., Beijing, China
Volume :
1
fYear :
2009
Firstpage :
121
Lastpage :
124
Abstract :
This paper proposed a data structure to store irregular warehouse layout diagram. A warehouse unit is defined as four kinds, which are storage point, passage, node and block respectively. The shortest distance and route between two storage points can be calculated by virtue of their adjacent nodes. Based on this, a new genetic algorithm is proposed with an assumption that an order-picking operation always access goods as many as the vehicle can accommodate. An order involved some goods stored in different storage points. The storage pointpsilas sequence in the order is encoded a chromosome. A chromosome determines the number of order-picking operations and the total distance. Although this assumption made the algorithm search only part of the whole solution space, compared with one of the other genetic algorithm, this new genetic algorithm has better result. The reason maybe lies in that fewer order-picking operations conform to the optimizing goal.
Keywords :
facilities layout; genetic algorithms; order picking; genetic algorithm; irregular warehouse layout diagram; order-picking; storage; Biological cells; Costs; Data structures; Genetic algorithms; Manufacturing automation; Manufacturing industries; Mathematical model; Paper technology; Storage automation; Vehicles; genetic algorithm; irregular warehouse; node; order-picking; passage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Environmental Science and Information Application Technology, 2009. ESIAT 2009. International Conference on
Print_ISBN :
978-0-7695-3682-8
Type :
conf
DOI :
10.1109/ESIAT.2009.131
Filename :
5200079
Link To Document :
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