Machine Learning Methods for Enhancing Manufacturing Decision Making

该研究项目旨在开发一种基于机器学习的新型制造决策方法，这是指从性能数据、观察或过去经验等信息中获取知识、策略或决策结构的计算系统。所提出的方法将为具有学习能力的智能、自适应制造决策提供框架。它还将包含一个通用模型，用于自动化制造决策支持，能够逐步改进性能。除了对基于学习的制造决策方法的开发和分析外，研究计划还包括通过模拟实验和在真实制造环境中测试来验证方法。​​！K !K F::(Times New Roman Symbol & Arial 0 0 " h v Ev E Shaw SBR-9321011 Hal Arkes的摘要

This research project seeks to develop a new class of manufacturing decision-making methods based on machine learning, which refers to computational systems for deriving knowledge, strategies, or decision structures from such information as performance data, observations, or past experiences. The proposed methodology will provide a framework for intelligent, adaptive manufacturing decision making with learning capabilities. It will also incorporate a general model for automating manufacturing decision support that is capable of progressive performance improvements. Besides the development and analysis of the learning-based manufacturing decision methodology, the research plan also includes the validation of the methodology by simulation experiments and by testing it in real-world manufacturing environments. !K !K F : : ( Times New Roman Symbol & Arial 0 0 " h v Ev E A abstract of Shaw SBR-9321011 Hal Arkes Hal Arkes