系统仿真学报 ›› 2018, Vol. 30 ›› Issue (11): 4043-4052.doi: 10.16182/j.issn1004731x.joss.201811002

• 专栏:工业互联网优化制造 • 上一篇    下一篇

异常事件驱动的离散制造车间重调度决策

吉卫喜1,2, 蔡酉勇1, 张朝阳1, 彭威1   

  1. 1. 江南大学机械工程学院,无锡 214122;
    2. 江苏省食品制造装备重点实验室,无锡 214122
  • 收稿日期:2018-09-27 修回日期:2018-10-23 发布日期:2019-01-04
  • 作者简介:吉卫喜(1961-),男,江苏姜堰,博士,教授,博导,研究方向为产品数字化设计与智能制造、先进制造技术等。
  • 基金资助:
    江苏省自然科学基金青年基金(BK20170190), 江南大学自主科研计划-重点项目(JUSRP51732B)

Abnormal Event Driven Rescheduling Decision Making in Discrete Manufacturing Workshop

Ji Weixi1,2, Cai Youyong1, Zhang Chaoyang1, Peng Wei1   

  1. 1. School of Mechanical Engineering, Jiangnan University, Wuxi 214122, China;
    2. Jiangsu Provincial Key Laboratory of Food Manufacturing Equipment, Wuxi 214122, China
  • Received:2018-09-27 Revised:2018-10-23 Published:2019-01-04

摘要: 针对车间生产重调度问题,结合离散车间制造过程透明化的现状,提出了异常事件驱动的离散制造车间重调度决策方法。在物联网驱动的离散制造车间环境下,利用复杂事件处理技术分析并处理制造过程的实时信息。通过定义重调度的判定方案、驱动机制和性能评价指标,提出了面向成本的离散车间重调度决策方法,并借助模拟退火遗传算法对最优重调度方案进行求解。通过对经过事件处理后获得的离散车间异常事件的案例分析,验证了该重调度决策方法的有效性。

关键词: 模拟退火遗传算法, 复杂事件处理, 事件驱动机制, 重调度决策

Abstract: To solve the problem of rescheduling of workshop production process, combined with the present situation of transparent manufacturing process in discrete workshop, a decision method of rescheduling and an event processing in discrete workshop driven by the abnormal events are proposed. In the IOT driven discrete manufacturing workshop environment, the complex event processing technology is applied to analyze and deal with the real-time information on manufacturing processes. On this basis, by defining the driven mechanism, the decision scheme and the performance evaluation index of rescheduling, the decision method of rescheduling in discrete workshop facing the costing is put forward; and with the help of simulated annealing and genetic algorithm, the optimal scheduling scheme is figured out. The effectiveness of the rescheduling decision method is verified by the case study of the abnormal events in the discrete workshop, which is obtained after the event processing.

Key words: simulated annealing and genetic algorithm, complex event processing, event-driven mechanism, rescheduling decision

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