知识化制造环境下航空发动机装配线调度及自重构

万晓琴; 严洪森; 汪峥

doi:10.16383/j.aas.2015.c131094

知识化制造环境下航空发动机装配线调度及自重构

doi: 10.16383/j.aas.2015.c131094

万晓琴^1,2, ,,
严洪森^1,2,
汪峥^1,2

1.
东南大学自动化学院南京 210096;
2.
东南大学复杂工程系统测量与控制教育部重点实验室南京 210096

基金项目:

国家自然科学基金(60934008)资助

详细信息

作者简介:
严洪森东南大学自动化学院教授.主要研究方向为生产计划与调度,知识化制造系统,预测. E-mail:hsyan@seu.edu.cn

通讯作者:
万晓琴东南大学自动化学院博士研究生.主要研究方向为知识化制造系统自重构.本文通信作者. E-mail:xqwan87@163.com

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出版历程
- 收稿日期: 2013-12-02
- 修回日期: 2014-05-15
- 刊出日期: 2015-01-20

Scheduling and Self-reconfiguration of an Aircraft Engine Assembly Line in Knowledgeable Manufacturing

WAN Xiao-Qin^{1,2
, ,},
YAN Hong-Sen^1,2,
WANG Zheng^1,2

1.
School of Automation, Southeast University, Nanjing 210096;
2.
Key Laboratory of Measurement and Control of Complex Systems of Engineering of Ministry Education, Southeast University, Nanjing 210096

Funds:

Supported by National Natural Science Foundation of China (60934008)

摘要

摘要: 航空发动机装配工序数量多、工序间装配约束复杂. 当产品需求变化时, 人工调整存在响应速度慢、装配效率低等问题. 以最小化产品完工成本、工序提前期惩罚成本及班组重构成本加权和为目标, 建立了航空发动机装配线调度和装配班组自重构优化模型. 提出一种新的基于工序局部最优排序的分解算法, 将调度问题分解为单个装配组上工序顺序优化问题. 设计了一种工序后向插入搜索策略. 最后提出装配线调度及自重构集成优化算法. 通过数值试验,验证了模型与算法的有效性.
- 知识化制造 /
- 航空发动机 /
- 自重构 /
- 装配作业车间调度
Abstract: Aircraft engine is assembled by plenty of assembly operations that have complex precedence constraints. When demand changes, manual adjustment cannot respond in time and make assembly efficiency low. To take aim at minimizing the total weighted sum of product completion time cost, the earliness penalty of operations, and the self-reconfiguration cost of teams and groups, an optimization model of aircraft engine assembly line scheduling and self-reconfiguration is constructed. A decomposition algorithm based on local optimal sequencing is proposed and the scheduling problem is decomposed into single machine operations sequencing problem. A local backward inserting search strategy is designed. An integrated optimization algorithm for assembly job shop scheduling (AJSS) and self-reconfiguration is developed. Numerical experiments validate the effectiveness of the proposed model and algorithm.
- Knowledgeable manufacturing /
- aircraft engine /
- self-reconfiguration /
- assembly job shop scheduling (AJSS)

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