• CN:11-2187/TH
  • ISSN:0577-6686

机械工程学报 ›› 2025, Vol. 61 ›› Issue (16): 374-383,393.doi: 10.3901/JME.2025.16.374

• 交叉与前沿 • 上一篇    下一篇

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铸造过程带批处理机的绿色混合流水车间调度研究

王静1, 唐红涛2, 雷德明3   

  1. 1. 湖北工业大学机械工程学院 武汉 430068;
    2. 武汉理工大学机电工程学院 武汉 430070;
    3. 武汉理工大学自动化学院 武汉 430070
  • 接受日期:2024-08-27 出版日期:2025-08-20 发布日期:2025-03-24
  • 作者简介:王静,女,1996年出生,博士研究生。主要研究方向为制造系统智能优化与调度。E-mail:jingwang55@whut.edu.cn;唐红涛,男,1987年出生,博士,教授,博士研究生导师。主要研究方向为制造业(汽车、模具、铸造等行业)数字化设计与智能制造。E-mail:tanghongtaozc@163.com;雷德明(通信作者),男,1968年出生,博士,教授,博士研究生导师。主要研究方向为智能系统优化与控制。E-mail:deminglei11@163.com
  • 基金资助:
    国家自然科学基金资助项目(61573264)

Research on Energy-efficient Hybrid Flow Shop Scheduling with Batch Processing Machines in Casting Process

WANG Jing1, TANG Hongtao2, LEI Deming3   

  1. 1. School of Mechanical Engineering, Hubei University of Technology, Wuhan 430068;
    2. School of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan 430070;
    3. School of Automation, Wuhan University of Technology, Wuhan 430070
  • Accepted:2024-08-27 Online:2025-08-20 Published:2025-03-24

摘要: 针对铸造过程带批处理机(Batch processing machines, BPM)的绿色混合流水车间调度问题(Energy-efficient hybrid flow shop scheduling problem, EHFSP),提出一种反馈人工蜂群算法(Feedback-based artificial bee colony, FABC)以同时最小化最大完成时间、总延迟时间和总能耗。该算法采用两个雇佣蜂群之间的新型协作方法以及三种搜索情形:雇佣蜂阶段与跟随蜂阶段或雇佣蜂阶段与协作或雇佣蜂阶段,根据两个雇佣蜂群进化质量和自适应阈值建立反馈机制以在每一代动态决定执行哪种情形。设计新型侦察蜂阶段以及重组操作。通过试验来验证FABC的性能,试验结果表明FABC在求解所研究的EHFSP方面具有较强的优势。

关键词: 铸造, 绿色混合流水车间调度, 人工蜂群算法, 批处理机

Abstract: Aiming at energy-efficient hybrid flow shop scheduling problem(EHFSP) with batch processing machines (BPM) in casting process, a feedback-based artificial bee colony(FABC) is proposed to simultaneously minimize makespan, total tardiness and total energy consumption. In FABC, a new cooperation between two employed bee swarms and three search cases: employed bee phase and onlooker bee phase or employed bee phase and cooperation or employed bee phase are implemented, and feedback mechanism established by evolution quality and adaptive threshold is used to dynamically determine which search case is executed on each generation. New scout phase and reassignment operator are designed. A number of experiments are conducted to test the performance of FABC, and the computational results show that FABC has strong advantages on the considered EHFSP.

Key words: casting, energy-efficient hybrid flow shop scheduling, artificial bee colony, batch processing machines

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