China Mechanical Engineering ›› 2011, Vol. 22 ›› Issue (2): 190-196.

Previous Articles     Next Articles

Multi-objective Optimization Scheduling for Job Shop of Batch Production with Multiple
 Process Flows

Zeng Qiang1,2;Yang Yu1;Wang Yongzhi3;Cheng Bo1
  

  1. 1.State Key Laboratory of Mechanical Transmissions,Chongqing University,Chongqing,400030
    2.Henan Polytechnic University,Jiaozuo,Henan,454000
    3.Chongqing Hongjiang Machinery Co., Ltd.,Chongqing,402100
  • Online:2011-01-25 Published:2011-01-27
  • Supported by:
     
    National Natural Science Foundation of China(No. 71071173);
    Key Technology R&D Program of Chongqing(No. 2010GGB108);
    Fundamental Research Funds for the Central Universities( No. CDJZR10110012)

复合工艺流程下批量生产车间调度多目标优化

曾强1,2;杨育1;王勇智3;程博1
  

  1. 1.重庆大学机械传动国家重点实验室,重庆,400030
    2.河南理工大学,焦作,454000
    3.重庆红江机械有限责任公司,重庆,402100
  • 基金资助:
    国家自然科学基金资助项目(71071173);重庆市重点科技攻关项目(2010GGB108);中央高校基本科研业务费科研专项自然科学类面上项目(CDJZR10110012) 
    National Natural Science Foundation of China(No. 71071173);
    Key Technology R&D Program of Chongqing(No. 2010GGB108);
    Fundamental Research Funds for the Central Universities( No. CDJZR10110012)

Abstract:

A multi-objective optimization scheduling method for Job shop of batch production with multiple process flows was proposed. Aiming at the scheduling characteristics of job shop of batch production with multiple process flows, a multi-objective optimization model was established with the objectives to minimize the makespan and the manufacturing cost. An improved multi-objective optimization NSGA-II algorithm for the model was presented and designed. In the algorithm, four new techniques were introduced: object-oriented technique, segmented variable length coding technique,
segmented hybrid crossover and mutation technique and delicacy scheduling technique.The effectiveness of the proposed method was validated by case studies.

Key words: Job Shop scheduling problem, multiple process flow, batch production, multi-objective optimization, improved NSGA-II algorithm

摘要:

提出了一种复合工艺流程下批量生产作业车间调度的多目标优化方法。针对复合工艺流程下批量生产车间调度的特点,建立了以最大完工时间最短、制造成本最低为优化目标的多目标优化模型,针对该模型提出并设计了一种改进NSGA-II算法。在改进的NSGA-II算法中引入了面向对象技术、分段不定长编码技术、分段混合交叉与变异技术、精细化调度技术。案例分析验证了该优化方法的有效性。

关键词:

CLC Number: