A digital twin-based layout optimization method for discrete manufacturing workshop
A digital twin-based layout optimization method for discrete manufacturing workshop
复制标题
基于数字孪生的离散制造车间布局优化方法
DOI：
10.1007/s00170-020-06568-0
复制
发表时间：
2021-01-02
影响因子：
3.4
通讯作者：
Zhang, Rui
中科院分区：
文献类型：
--
作者：
Guo, Hongfei;Zhu, Yingxin;Zhang, Rui
在离散型制造车间中，不合理的车间布置对生产效率的影响较大，会造成作业间隔大、工装利用率低、生产过程中产品积压等现象。然而，现有的车间布局优化算法很少考虑到车间物理信息的实时反馈，无法在制造过程中自我调整布局以实现最优。因此，本文重点研究了基于数字孪生的离散制造车间布局优化，通过孪生数据融合、信息与物理交互融合、数据分析与优化等方法解决车间布局问题。首先，建立了基于数字孪生的车间划分子框架，并通过仿真分析对车间划分进行了优化。其次，提出了基于数字孪生的设备布局优化子框架，通过实时数据采集和孪生数据的增值处理进行设备布局决策；在此基础上，提出了基于数字孪生的车间配送路径优化子框架。最后，将该方法应用于某焊接生产车间，生产能力提高了29.4%。
In the discrete manufacturing workshop, an unreasonable workshop layout has a significant impact on the production efficiency, which can result in a large distance between operations, low utilization of tooling, and the backlog of products in production process. However, the existing optimization algorithms for workshop layout rarely take into account the real-time feedback of physical information from the workshop such that the layout cannot be self-adjusted to realize the optimum during manufacturing. Thus, this paper focuses on a discrete manufacturing workshop layout optimization based on digital twin, in which the workshop layout problem is solved by twin data fusion, information and physical interaction fusion, and data analysis and optimization. First, a sub-framework of digital twin-based workshop partitioning is established and the workshop partitioning is optimized via simulation analysis. Second, a sub-framework of digital twin-based equipment layout optimization is presented, in which equipment layout decisions are made by real-time data collection and value-added processing of twin data. Then, a sub-framework of digital twin-based distribution route optimization is developed for the workshop. Finally, the proposed method is applied to a welding production workshop and increased the production capacity o by 29.4%.