法士特产线调度数据

本数据集聚焦在离散智能制造车间场景下的工件生产调度和工件运送物流优化，包括设备清单、加工订单、工件工序、移动机器手臂运输时间矩阵以及物料检验记录。数据反映了陕西法士特汽车传动集团有限责任公司的车间产线的生产周期的运行计划情况，时间精度达到分钟级别，空间范围覆盖车间设备、移动机器手臂路径及工件上下料区域点，空间精度为米级，运送时间矩阵达到秒级。数据集支持产品物料库存情况的分析，综合库存情况支撑产品工件的生产调度优化以及ARM运输路径规划，通过数学建模、启发式算法或者机器学习等对工件加工进行优化排产方案。学术价值在于算法性能验证，工业价值在于提升生产效率、降低成本，助力智能制造与精益生产。数据可扩展至动态调度或供应链优化，具有推动工业4.0转型的潜力。

This dataset focuses on workpiece production scheduling and logistics optimization for workpiece transportation in discrete intelligent manufacturing workshop scenarios. It encompasses equipment inventories, processing orders, workpiece processes, transportation time matrices for mobile robotic arms, and material inspection records.

The data reflects the operational planning of production cycles for workshop production lines of Shaanxi Fast Auto Drive Group Co., Ltd., with a temporal precision at the minute level, spatial coverage covering workshop equipment, mobile robotic arm paths, and workpiece loading and unloading area points, a spatial precision at the meter level, and the transportation time matrix with second-level precision.

The dataset supports analysis of product material inventory status, and enables production scheduling optimization for workpieces and robotic arm (ARM) transportation path planning based on comprehensive inventory data, facilitating the development of optimized production scheduling schemes for workpiece processing via mathematical modeling, heuristic algorithms, machine learning, and other relevant methods.

Its academic value lies in algorithm performance validation, while its industrial value lies in enhancing production efficiency, reducing costs, and supporting intelligent manufacturing and lean production. The dataset can be extended to applications such as dynamic scheduling or supply chain optimization, and holds the potential to drive the Industry 4.0 transformation.

搜集汇总

背景与挑战

背景概述

该数据集来源于陕西法士特汽车传动集团有限责任公司的离散智能制造车间，包含设备清单、加工订单、工件工序、移动机器手臂运输时间矩阵及物料检验记录，时间精度达分钟级，空间精度为米级。它旨在支持生产调度优化和ARM运输路径规划，通过算法验证提升工业效率，助力智能制造与精益生产。