李芳, 张毕西, 曹晓静. 复杂需求环境下中小型制造企业作业系统建模与分析[J]. 信息与控制, 2019, 48(2): 140-148. DOI: 10.13976/j.cnki.xk.2019.8180
引用本文: 李芳, 张毕西, 曹晓静. 复杂需求环境下中小型制造企业作业系统建模与分析[J]. 信息与控制, 2019, 48(2): 140-148. DOI: 10.13976/j.cnki.xk.2019.8180
LI Fang, ZHANG Bixi, CAO Xiaojing. Modeling and Analysis of Small Medium Production Enterprises' Operating System Under Sophisticated Demand Environment[J]. INFORMATION AND CONTROL, 2019, 48(2): 140-148. DOI: 10.13976/j.cnki.xk.2019.8180
Citation: LI Fang, ZHANG Bixi, CAO Xiaojing. Modeling and Analysis of Small Medium Production Enterprises' Operating System Under Sophisticated Demand Environment[J]. INFORMATION AND CONTROL, 2019, 48(2): 140-148. DOI: 10.13976/j.cnki.xk.2019.8180

复杂需求环境下中小型制造企业作业系统建模与分析

Modeling and Analysis of Small Medium Production Enterprises' Operating System Under Sophisticated Demand Environment

  • 摘要: 针对中小型制造企业(small medium production enterprises,SMPEs)对复杂需求的响应速度普遍比较慢的问题,从调整系统参数合理性的角度提出了一种提高系统响应速度的方法.首先,构建了融合员工关键技能的SMPEs生产作业系统;其次,基于连续时间马尔可夫链建立系统的稳态平衡方程模型,在采用两种不同控制策略的情况下,深入研究了生产线的切换时间等参数对系统性能的影响;最后,在给定的生产实例下,通过理论推导和仿真实验分析了系统性能指标随着关键参数的变化趋势.实验结果表明,理论推导结果与实际生产的运行情况吻合良好,为SMPEs生产企业进行合理的系统参数设计提供了重要的基础.

     

    Abstract: Considering the problem that the response speed of small medium production enterprises (SMPEs) to complex orders is slow, we propose a method to improve the response efficiency from the view of modulating the rationality of system parameters. First, we construct a production operating system of SMPEs that integrates the key skills of workers. Second, we establish a steady-state equilibrium equation model of the SMPEs production operating system based on a continuous Markov train. For two different control strategies, we explore the efficiency of system influenced by some parameters, such as the switching time of producing lines. Finally, we determine the variation trends of system performance with the parameters by theoretical calculations and computer simulations. The experimental results show that the theoretical results agree well with the real production lines. Therefore, this study provides an important basis for designing rational parameters of SMPEs production operating systems.

     

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