• CN:11-2187/TH
  • ISSN:0577-6686

机械工程学报 ›› 2017, Vol. 53 ›› Issue (11): 164-174.doi: 10.3901/JME.2017.11.164

• 绿色制造技术 • 上一篇    下一篇

扫码分享

面向低碳的工艺规划与车间调度集成优化

刘琼, 梅侦   

  1. 华中科技大学数字制造装备与技术国家重点实验室 武汉 430074
  • 出版日期:2017-06-05 发布日期:2017-06-05
  • 作者简介:

    刘琼(通信作者),女,1965出生,教授。主要研究方向为制造系统集成优化、低碳制造。

    E-mail:qiongliu@mail.hust.edu.cn

  • 基金资助:
    * 国家自然科学基金(51675206)、国家自然科学基金国际(地区)合作与交流(51561125002)和中央高校基本科研业务费专项资金(2016YXMS275)资助项目; 20160618收到初稿,20170219收到修改稿;

Integrated Optimization of Process Planning and Shop Scheduling For Reducing Manufacturing Carbon Emissions

LIU Qiong, MEI Zhen   

  1. State Key Laboratory of Digital Manufacturing Equipment & Technology, Huazhong University of Science and Technology, Wuhan 430074
  • Online:2017-06-05 Published:2017-06-05

摘要:

为更好地减少制造过程中的碳排放,弥补将工艺规划与车间调度分开碳排放优化时忽略了工艺规划方案中加工方法和工艺路线对调度阶段各工序加工机床分配方案、搬运距离以及工件加工顺序的影响,提出一个集成优化工件各特征加工方法、工艺路线、工件加工顺序以及各工序的机床分配,以实现制造过程碳排放和最大完工时间最小的多目标集成优化模型;针对集成优化模型中优化参数较多且相互影响的特性,提出一种前后相关联的四段式编码方法,采用NSGA-II算法求解,通过将所得的集成优化结果与先进行面向低碳的单目标工艺规划优化,再进行面向低碳的多目标车间调度分开优化结果进行对比,说明提出的集成优化模型可以得到更低的制造过程碳排放和完工时间,从而验证了集成优化模型的有效性。

关键词: 调度优化, 工艺规划与车间调度集成优化, 工艺优化, 低碳制造

Abstract:

Currently process planning and shop scheduling are optimized separately. Under the circumstances, the influence of processing methods and process route of each workpiece in process planning on machine allocation, handling distance and processing sequence in scheduling are ignored. In order to further reduce carbon emissions in manufacturing processes, a multi-objective integrated optimization model of process planning and shop scheduling are proposed aiming at minimizing carbon emissions of manufacturing process and makespan to optimize process method of each machining characteristic, process route of each workpiece, processing sequence and machine allocation of each process at the same time. Because there are many parameters to be optimized in the proposed model and they are interactional, a four-segment encoding method is designed to code the related parameters. A NSGA-II algorithm is designed to solve the proposed model. By comparing with results of current separated optimization method of process planning and scheduling, the effect of proposed integrated optimization model on reducing carbon emissions in manufacturing processes is validated.

Key words: process optimization, process planning and scheduling integrated optimization, scheduling optimization, low carbon manufacturing