中国机械工程 ›› 2012, Vol. 23 ›› Issue (8): 935-940.

• 机械基础工程 • 上一篇    下一篇

基于混合遗传算法的混流混合车间协同调度问题

李修琳;鲁建厦;柴国钟;汤洪涛;蒋玲玲   

  1. 浙江工业大学,杭州,310032
  • 出版日期:2012-04-25 发布日期:2012-05-10
  • 基金资助:
    国家自然科学基金资助项目(70971118);浙江省自然科学基金资助项目(Y1111118);浙江省科技厅计划资助项目(2009C31025, 2009C11164) 
    National Natural Science Foundation of China(No. 70971118);
    Zhejiang Provincial Natural Science Foundation of China(No. Y1111118);
    Zhejiang Provincial Program of Ministry of Science and Technology of China(No. 2009C31025, 2009C11164)

#br# Hybrid Genetic Algorithm for Mixed-model Hybrid-shop Scheduling Problem

Li Xiulin;Lu Jiansha;Chai Guozhong;Tang Hongtao;Jiang Lingling   

  1. Zhejiang University of Technology,Hangzhou,310032
  • Online:2012-04-25 Published:2012-05-10
  • Supported by:
     
    National Natural Science Foundation of China(No. 70971118);
    Zhejiang Provincial Natural Science Foundation of China(No. Y1111118);
    Zhejiang Provincial Program of Ministry of Science and Technology of China(No. 2009C31025, 2009C11164)

摘要:

为解决一类具有多品种混流生产特征和作业车间与流水车间集成的混流混合车间协同调度问题,给出了以在制品成本最小为目标的混流混合车间调度问题模型;采用零件加工、部件装配、产品总装的三段协同编码方法,给出了一种集成模拟退火算法的混合遗传算法,并在模拟退火算法中引入变温度参数来平衡算法效率。最后,通过某冰箱混流装配企业典型实例验证了模型和算法的有效性。

关键词: 混流混合车间, 流水车间, 作业车间, 混合遗传算法, 模拟退火算法

Abstract:

The paper focused on solving a kind of coordinated scheduling problem for mixed-model hybrid-shop,which composed of job-shop,flow-shop and has the characteristics of mixed-model.First,the model of hybrid shop scheduling problem was presented based on the cost of work piece in process.Then,a hybrid algorithm with genetic algorithm and SA algorithm was proposed to solve the model.In the hybrid algorithm,a three-stage encoding was put to make coordinated code for production sequences of parts,components and final products.And a dynamic temperature parameter was introduced to SA to balance the algorithm's efficiency.And finally,an example from freezer production was given to test the model and algorithms presented herein.And the testing results prove the method is effective and excellent. 

Key words: mixed-model hybrid-shop, flow shop, job shop, hybrid genetic algorithm, simulated annealing(SA) algorithm

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