工装与零件车间生产要素数据集

该数据集主要面向智能制造与生产资源优化配置研究，对应课题“基于5G工业互联的复杂制造关键资源状态分析与预测”研究任务，旨在构建超大规模协同优化问题模型，并进行工装车间与零件车间的生产要素资源调度及预测仿真研究。数据来源于工装车间和零件车间生产要素数据库采集。数据内容主要包括人员数据、工装数据、设备数据、环境数据、物料数据5类数据，反映了典型制造单元的资源结构。数据集总数据量约2.62MB。该数据集为构建制造过程仿真模型、开展生产调度算法研究及实现车间级模拟系统提供了基础性支撑和数据保障。

This dataset is primarily intended for research on intelligent manufacturing and optimal allocation of production resources, corresponding to the research task of the project titled "Analysis and Prediction of Key Resource Status in Complex Manufacturing Based on 5G Industrial Internet". It aims to construct an ultra-large-scale collaborative optimization problem model, and conduct research on production factor resource scheduling and predictive simulation in tooling workshops and parts workshops. The data is collected from the production factor databases of tooling workshops and parts workshops. The dataset mainly includes five categories of data: personnel data, tooling data, equipment data, environmental data and material data, which reflect the resource structure of typical manufacturing units. The total data volume of the dataset is approximately 2.62 MB. This dataset provides fundamental support and data guarantee for constructing manufacturing process simulation models, conducting production scheduling algorithm research, and implementing workshop-level simulation systems.

搜集汇总

背景与挑战

背景概述

该数据集面向智能制造与生产资源优化配置研究，包含工装车间和零件车间的生产要素数据，如人员、工装、设备、环境和物料数据，总数据量约2.62MB，格式包括xlsx、csv、json和docx。数据集为制造过程仿真模型构建和生产调度算法研究提供了基础支撑。