工业工程 ›› 2020, Vol. 23 ›› Issue (3): 107-114,131.doi: 10.3969/j.issn.1007-7375.2020.03.014

• 实践与应用 • 上一篇    下一篇

带检测环节的制造单元布局优化

陈瑾标, 陈庆新, 毛宁, 彭乘风, 俞爱林   

  1. 广东工业大学 广东省计算机集成制造系统重点实验室,广东 广州 510006
  • 收稿日期:2019-02-27 发布日期:2020-07-04
  • 作者简介:陈瑾标(1996-),男,广东省人,硕士研究生,主要研究方向为制造系统规划设计
  • 基金资助:
    国家自然科学基金资助项目(61573109,51775120);广东省自然科学基金自由申请项目资助(2018A030313477)

A Layout Optimization of a Manufacturing Cell with Testing Process

CHEN Jinbiao, CHEN Qingxin, MAO Ning, PENG Chengfeng, YU Ailin   

  1. Key Laboratory of Computer Integrated Manufacturing System of Guangdong Province, Guangdong University of Technology, Guangzhou 510006, China
  • Received:2019-02-27 Published:2020-07-04

摘要: 针对带检测环节的智能制造单元,考虑其具有随机性因素的特点,本文对其机器布局问题进行研究。首先对该智能制造单元的生产过程及特点进行分析,建立其机器布局优化问题的随机非线性整数规划的数学模型;然后建立该智能制造单元对应的仿真模型,对该优化问题进行求解;最后分析抽检率的变化对最优解造成的影响,并对该智能制造单元的性能指标进行方差分析,研究不同的布局方案和抽检率对系统性能的影响程度。研究成果为企业进行智能制造单元的机器布局提供决策依据。

关键词: 智能制造单元, 机器布局, 仿真模型, 系统性能

Abstract: Focused on an intelligent manufacturing cell with testing process, considering its stochastic factors, the machine layout problem about it is researched. Firstly, analyzing the manufacturing process and characteristics of the intelligent manufacturing cell, the stochastic mixed nonlinear integer programming model of the machine layout problem is established. Then, the corresponding simulation model is established to solve the optimization problem. Finally, the effect of the testing rate variation on optimal solution was analyzed, and an analysis of variance about system performances is conducted to research the impact degree of the layout variation and the testing rate variation on system performances. The result can provide enterprises with decision basis about machine layout of the intelligent manufacturing cell.

Key words: intelligent manufacturing cell, machine layout, simulation model, system performance

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