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Intelligent production scheduling system based on improved genetic-annealing algorithm

Zhou Zhan-qiang

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Abstract

In order to meet the requirement of small batch production pattern,a production scheduling system based on intelligent algorithmic is designed.According to the data characteristics and system requirements,rational data structures and different scheduling rules are established.The genetic annealing algorithm is improved to adjust to the scheduling system,which could be used to make flexible scheduling and priority scheduling,and the algorithm could satisfy the constraints between the assembly parts.The production scheduling system is developed based on the.NET 3.5 framework,and the intelligent scheduling is realized to the production tasks.

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What this paper is about

In order to meet the requirement of small batch production pattern,a production scheduling system based on intelligent algorithmic is designed.According to the data characteristics and system requirements,rational data structures and different scheduling rules are established.The genetic annealing algorithm is improved to adjust to the scheduling system,which could be used to make flexible scheduling and priority scheduling,and the algorithm could satisfy the constraints between the assembly parts.The production scheduling system is developed based on the.NET 3.5 framework,and the intelligent scheduling is realized to the production tasks.

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Available abstract

In order to meet the requirement of small batch production pattern,a production scheduling system based on intelligent algorithmic is designed.According to the data characteristics and system requirements,rational data structures and different scheduling rules are established.The genetic annealing algorithm is improved to adjust to the scheduling system,which could be used to make flexible scheduling and priority scheduling,and the algorithm could satisfy the constraints between the assembly parts.The production scheduling system is developed based on the.NET 3.5 framework,and the intelligent scheduling is realized to the production tasks.

Key concepts: Computer science, Fair-share scheduling, Two-level scheduling, Dynamic priority scheduling, Rate-monotonic scheduling, Genetic algorithm scheduling, Round-robin scheduling, Scheduling (production processes)

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