工装与零件车间排产问题数据集

该数据集主要面向工装车间与零件车间生产调度优化研究，对应课题“基于SIPyOC-RC网络图的复杂产品制造过程协同优化方法”研究任务，旨在为后续生产排程算法开发、性能评估和优化策略验证提供标准化数据支持。数据集来源于项目组在工艺管理系统后台主管业务部门处调取。数据内容主要包括工序说明、资源说明、各项约束说明等信息，能够反映多工序、多资源和多目标约束下的典型排产问题特征。数据集体量约1.25MB。该数据集为生产调度算法对比研究、优化策略验证以及数字化工厂仿真提供了高质量的数据基础和可靠保障。

This dataset is mainly targeted at production scheduling optimization research in tooling workshops and parts workshops, corresponding to the research task of the project titled "Collaborative Optimization Method for Complex Product Manufacturing Processes Based on SIPyOC-RC Network Diagram". It aims to provide standardized data support for the subsequent development of production scheduling algorithms, performance evaluation and optimization strategy verification. The dataset is extracted by the project team from the back-end business management department of the process management system. The data content mainly includes process descriptions, resource descriptions, various constraint descriptions and other information, which can reflect the characteristics of typical scheduling problems under multi-process, multi-resource and multi-objective constraints. The dataset has a size of approximately 1.25 MB. This dataset provides a high-quality data foundation and reliable guarantee for comparative research on production scheduling algorithms, optimization strategy verification and digital factory simulation.

搜集汇总

背景与挑战

背景概述

该数据集面向工装车间与零件车间生产调度优化研究，包含工序说明、资源说明和约束说明等信息，反映多工序、多资源和多目标约束下的典型排产问题特征。数据集体量为1.25MB，格式为json和docx，为生产调度算法对比研究和优化策略验证提供数据支持。