Modeling and Optimization of Integrated Scheduling of Automated Warehouse System

Sai Nan Liu

doi:10.4028/www.scientific.net/AMR.230-232.35

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 230-232Modeling and Optimization of Integrated Scheduling...

Modeling and Optimization of Integrated Scheduling of Automated Warehouse System

Abstract:

In order to improve the efficiency of automated warehouse system, the integrated scheduling problem was studied on the basis of a typical warehouse layout. A new multi-objective mathematical model was built with constraints. The reason that leads to automated guided vehicle (AGV) deadlock was analyzed on basis of bidirectional route of AGV. And a deadlock-free control policy named alternative path was proposed. A heuristic algorithm based on genetic algorithm was proposed to solve the problem. The rule of coding, selection, crossover and mutation was described in detail. The simulation result shows that the proposed algorithm is effective and can be used in practical.

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Periodical:

Advanced Materials Research (Volumes 230-232)

Pages:

35-39

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.230-232.35

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Online since:

May 2011

Authors:

Sai Nan Liu

Keywords:

Automated Warehouse System, Genetic Heuristic Algorithm, Integrated Scheduling, Multi-Objective Optimization (MOP)

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