IPPS问题国际公开测试数据集

该数据集主要面向集成式工艺规划与车间调度（IPPS）问题的求解验证和性能评估，对应课题“动态价值目标驱动的协同优化算法开发和快速求解”研究任务，旨在为学术研究及工业应用提供标准化、可复现的测试实例。数据集来源于国际公开渠道，由研究机构基于典型制造系统建模和调度场景生成。数据内容主要包括24个IPPS问题实例，每个实例对应一条装配线 / 工位 / 工件属性配置，如工作站数量、装配任务时间、切换时间、前置关系等，能够反映不同规模、多目标及复杂约束的生产调度特征。数据集体量约389KB。该数据集为算法性能对比、调度策略优化及生产系统仿真研究提供了标准化基准和可靠支撑，具有较高的学术参考价值与应用推广价值。This dataset is primarily intended for solution verification and performance evaluation of integrated process planning and scheduling (IPPS) problems, corresponding to the research task of the project "Development and Rapid Solution of Collaborative Optimization Algorithms Driven by Dynamic Value Objectives". It aims to provide standardized and reproducible test cases for academic research and industrial applications. The dataset is sourced from international public channels and generated by research institutions based on typical manufacturing system modeling and scheduling scenarios. It mainly includes 24 IPPS problem instances, each corresponding to the attribute configuration of an assembly line, workstation and workpiece, such as the number of workstations, assembly task time, setup time, precedence relationships and other details, which can reflect the characteristics of production scheduling with different scales, multiple objectives and complex constraints. The total size of the dataset is approximately 389 KB. This dataset provides standardized benchmarks and reliable support for algorithm performance comparison, scheduling strategy optimization and production system simulation research, and has high academic reference value and application promotion value.

搜集汇总

背景与挑战

背景概述

该数据集主要面向集成式工艺规划与车间调度（IPPS）问题的求解验证和性能评估，包含24个IPPS问题实例，反映不同规模、多目标及复杂约束的生产调度特征。数据集来源于国际公开渠道，格式包括txt、xlsx和docx，具有较高的学术参考价值与应用推广价值。