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面向快速响应的赛汝生产系统构建模型与方法

湛荣鑫 李冬妮 马涛 李俊杰 吴延昭 殷勇

湛荣鑫, 李冬妮, 马涛, 李俊杰, 吴延昭, 殷勇. 面向快速响应的赛汝生产系统构建模型与方法. 自动化学报, 2022, 48(12): 1−9 doi: 10.16383/j.aas.c190731
引用本文: 湛荣鑫, 李冬妮, 马涛, 李俊杰, 吴延昭, 殷勇. 面向快速响应的赛汝生产系统构建模型与方法. 自动化学报, 2022, 48(12): 1−9 doi: 10.16383/j.aas.c190731
Zhan Rong-Xin, Li Dong-Ni, Ma Tao, Li Jun-Jie, Wu Yan-Zhao, Yin Yong. Configuration model and approach of a seru production system for quick response. Acta Automatica Sinica, 2022, 48(12): 1−9 doi: 10.16383/j.aas.c190731
Citation: Zhan Rong-Xin, Li Dong-Ni, Ma Tao, Li Jun-Jie, Wu Yan-Zhao, Yin Yong. Configuration model and approach of a seru production system for quick response. Acta Automatica Sinica, 2022, 48(12): 1−9 doi: 10.16383/j.aas.c190731

面向快速响应的赛汝生产系统构建模型与方法

doi: 10.16383/j.aas.c190731
基金项目: 内蒙古自治区重大基础研究开放课题 (GZ2018KF001), 国家自然科学基金 (61763046) 资助
详细信息
    作者简介:

    湛荣鑫:北京理工大学计算机学院博士研究生. 主要研究方向为赛汝生产与智能优化.E-mail: bnmzrx@qq.com

    李冬妮:北京理工大学计算机学院副教授. 主要研究方向为智能优化与仿真计算. 本文通信作者.E-mail: ldn@bit.edu.cn

    马涛:研究员级高级工程师, 特种车辆及其传动系统智能制造国家重点实验室副主任. 主要研究方向为数字化及智能制造应用基础技术.E-mail: 85558189@qq.com

    李俊杰:内蒙古第一机械集团有限公司技术骨干. 主要研究方向为车辆动力辅助系统和自动装填系统工艺技术.E-mail: 1733321785@qq.com

    吴延昭:内蒙古第一机械集团有限公司高级工程师. 主要研究方向为冲压自动化, 智能化生产.E-mail: wuyanzhaolishiqi@126.com

    殷勇:日本同志社大学商学院教授. 主要研究方向为赛如生产与工业4.0.E-mail: yyin@mail.doshisha.ac.jp

Configuration Model and Approach of a Seru Production System for Quick Response

Funds: Supported by State Key Laboratory of Smart Manufacturing for Special Vehicles and Transmission Systems (GZ2018KF001) and National Natural Science Foundation of China (61763046)
More Information
    Author Bio:

    ZHAN Rong-Xin Ph.D. candidate at the School of Computer Science, Beijing Institute of Technology. His research interest covers seru production and intelligent optimization

    LI Dong-Ni Associate professor at the School of Computer Science, Beijing Institute of Technology. Her research interest covers intelligent optimization and simulation, smart factory and digital twin. Corresponding author of this paper

    MA Tao Senior engineer at research fellow leve, and associate director of State Key Laboratory of Smart Manufacturing for Special Vehicles and Transmission Systems. His research interest covers basic technology for digital and intelligent manufacturing applications

    LI Jun-Jie Technical backbone at Inner Mongolia First Machinery Group Co., Ltd.. His research interest covers vehicle power assist system and technology of automatic loading system

    WU Yan-Zhao Senior engineer at Inner Mongolia First Machinery Group Co., Ltd.. His research interest covers stamping automation and intelligent production

    YIN Yong Professor at the Graduate School of Business, Doshisha University, Japan. His research interest covers seru production and Industry 4.0

  • 摘要: 当前市场环境具有多品种、变批量、产品生命周期短的波动特点, 赛汝生产系统(Seru production system, SPS)是一种目前广泛应用于电子制造行业的新型生产方式, 其具有优良的重构性和响应能力, 适合于应对波动市场环境. 本文提出了一个两阶段的赛汝生产系统构建问题模型, 两个阶段分别是Seru构建和Seru调度, 并证明了这两个问题模型均是NP难的, 结合模型分析给出了相应的精确/近似算法. 实验结果表明, 在波动市场环境下按照本文模型与方法构建出的赛汝生产系统其工人利用率始终保持在较高水平, 系统具有较强的重构性能和响应能力.
  • 图  1  订单1的潜在加工路径${E_1}$

    Fig.  1  Potential processing paths ${E1}$ for order 1

    图  2  为订单1和2所构建的4个Seru甘特图

    Fig.  2  Gantt chart for 4 Serus

    图  3  Seru数目随产品类型级别变化趋势

    Fig.  3  The number of serus versus product types

    图  4  工人利用率随产品类型级别变化趋势

    Fig.  4  The utilization of workers versus product types

    图  5  订单最大完工时间随产品类型级别变化趋势

    Fig.  5  The makespan versus product types

    图  6  Seru数目随订单需求量变化趋势

    Fig.  6  The number of serus versus product volumes

    图  7  工人利用率随订单需求量变化趋势

    Fig.  7  The utilization of workers versus product types

    图  8  工人利用率随市场波动变化趋势

    Fig.  8  The utilization of workers versus cf levels

    表  1  波动市场的参数描述

    Table  1  Parameters of volatile markets

    参数取值范围
    产品类型级别 (k)1, 3, 5, 7, 9
    产品类型生成方式~U$[1,k] $
    产品需求量均值 (μ)10, 20, 30, 40, 50
    产品需求量波动系数 (cf)0. 1, 0. 3, 0. 5, 0. 7, 0. 9
    产品需求量生成方式~N$[mu,(mu\times cf)^2] $
    下载: 导出CSV

    表  2  算例的其余参数描述

    Table  2  Parameters of test problems

    算例参数取值范围
    SPS工人数量15
    工人初始剩余工作时间1500
    工人在任一工序上的单位加工时间~U$[8,12] $, 向下取整
    订单数量~U$[5,15] $, 向下取整
    相邻到来订单的时间间隔~E$(1/30) $
    下载: 导出CSV

    表  3  工人在不同工序上的单位加工时间

    Table  3  Processing time of each worker on different operations

    工人/工序工序 1工序 2工序 3工序 4工序 5
    工人 1109
    工人 2810
    工人 3128
    工人 499
    工人 51112
    下载: 导出CSV

    表  4  订单信息

    Table  4  The information of orders

    订单到来时间产品类型 (所需工序标号集合)需求量
    订单 10{1, 2}15
    订单 240{3, 4, 5}11
    下载: 导出CSV

    表  5  为生产3个订单所构建的Seru展示

    Table  5  Serus that are configured for orders

    订单订单1 订单2
    SeruSeru 1Seru 2 Seru 3Seru 4
    工序 1工人 2工人 1
    工序 2工人 2工人 3
    工序 3工人 3工人 4
    工序 4工人 4工人 4
    工序 5工人 5工人 5
    产品产出量11492
    存在时长1985812548
    下载: 导出CSV
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出版历程
  • 收稿日期:  2019-10-22
  • 录用日期:  2020-04-06
  • 网络出版日期:  2022-11-23

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