• CN:11-2187/TH
  • ISSN:0577-6686

机械工程学报 ›› 2022, Vol. 58 ›› Issue (19): 242-255.doi: 10.3901/JME.2022.19.242

• 数字化设计与制造 • 上一篇    下一篇

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考虑扰动事件的机械加工工艺参数与车间动态调度综合节能优化

吕岩1, 徐正军2, 李聪波1, 李玲玲3, 杨秒1   

  1. 1. 重庆大学机械传动国家重点实验室 重庆 400044;
    2. 重庆铁马工业集团有限公司 重庆 400050;
    3. 西南大学工程技术学院 重庆 400100
  • 收稿日期:2022-03-01 修回日期:2022-07-21 出版日期:2022-10-05 发布日期:2023-01-05
  • 通讯作者: 李聪波(通信作者),男,1981年出生,博士,教授,博士研究生导师。主要研究方向为绿色制造、制造系统能效。E-mail:congboli@cqu.edu.cn
  • 作者简介:吕岩,男,1992年出生,博士研究生。主要研究方向为机床能效、车间节能调度。E-mail:cqulvyan@163.com
  • 基金资助:
    国家自然科学基金(51975075,51905449)和重庆市技术创新与应用示范专项(cstc2018jszx-cyzdX0183)资助项目。

Comprehensive Energy Saving Optimization of Processing Parameters and Job Shop Dynamic Scheduling Considering Disturbance Events

Lü Yan1, XU Zhengjun2, LI Congbo1, LI Lingling3, YANG Miao1   

  1. 1. State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400044;
    2. Chongqing Tiema Industries Group Co., Ltd., Chongqing 400050;
    3. College of Engineering and Technology, Southwest University, Chongqing 400100
  • Received:2022-03-01 Revised:2022-07-21 Online:2022-10-05 Published:2023-01-05

摘要: 随着能源消耗和环境问题的不断加剧,机械加工车间的高效节能生产越来越受到制造业的关注。传统动态调度优化时每道工序的工艺参数固定,未考虑工艺参数与车间调度之间的关联关系,限制了调度优化的潜力。为了更好地实现柔性作业车间节能增效,并快速有效地应对车间生产过程中出现的突发扰动事件,提出一种考虑扰动事件的加工工艺参数与车间动态调度综合优化方法。首先详细分析订单插入与机床故障下柔性作业车间的能耗特性,以总能耗与最大完工时间为目标,建立工艺参数与动态调度综合优化模型,然后设计一种面向扰动事件的动态决策机制,并提出改进的自适应形状估计进化算法(AGE-MOEA)进行优化求解,最后通过案例分析与算法对比,验证了所提出方法的有效性。

关键词: 节能, 扰动事件, 工艺参数, 动态调度, 柔性作业车间

Abstract: As energy consumption and environmental problems continue to intensify, efficient and energy saving production in machining job shops has attracted more and more attention from the manufacturing industry. In traditional dynamic scheduling optimization, the processing parameters of each operation are fixed, and the relationship between processing parameters and job shop scheduling is not considered, which limits the potential of scheduling optimization. In order to better realize the energy saving and efficiency increase of the flexible job shop, and quickly and effectively deal with the sudden disturbance events, a comprehensive optimization method of processing parameters and job shop dynamic scheduling considering disturbance events is proposed. Firstly, the energy consumption characteristics of the flexible job shop under new job arrival and machine tool breakdown are explained in detail, and the comprehensive optimization model of processing parameters and dynamic scheduling is established with the objectives of total energy consumption and maximum completion time. Then, the dynamic decision-making mechanism for disturbance events is designed, and the improved adaptive geometry estimation based multi-objective evolutionary algorithm (AGE-MOEA) is proposed. Finally, the effectiveness of the proposed method is verified by case analysis and algorithm comparison.

Key words: energy saving, disturbance event, processing parameter, dynamic scheduling, flexible job shop

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