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所在平台: Udemy |
课程主页: https://www.udemy.com/course/ai-for-operations-management/
课程评论：没有评论
课程名称：人工智能与运营管理 课程概述： 本课程适合初学者，重点探讨人工智能（AI）在现代运营管理中的变革性作用。您将学习如何利用前沿的AI技术来优化关键的运营职能，提升效率、降低成本并增强决策能力。课程内容涵盖运营管理的基本原则，并展示AI如何在价值链的各个环节中提供显著优势。 主要内容包括： 1. 运营管理基础：回顾核心概念，如流程设计、产能规划、库存管理和调度，为AI应用提供基础背景。 2. AI驱动的供应链优化：了解如何利用AI算法优化复杂的供应链网络，包括智能采购、物流优化、基于机器学习的库存管理和风险评估等。 3. 基于机器学习的需求预测：学习利用先进的预测技术，通过时间序列分析、回归模型和神经网络来提高未来需求预测的准确性。 4. 通过AI实现预测性维护：理解AI和机器学习如何通过预测性维护变革资产管理，探讨传感器数据分析、异常检测和预测建模。 5. AI在质量控制和保证中的应用：研究计算机视觉、自然语言处理和机器学习在质量控制过程中的运用，了解AI如何自动化缺陷检测和改进过程监控。 通过案例研究、现实世界的例子和实际练习，您将获得在各种运营场景中实施和管理AI驱动解决方案的实用理解。该课程非常适合希望了解AI在未来运营管理中战略和战术影响的专业人士和学生。 学习资源： - 课程演示文稿 - 课程电子书/学习指南 - 使用Google Gemini和ChatGPT的演示 预期学习成果： 完成课程后，学习者将能够： - 理解AI在运营管理中的角色 - 学习AI的基本概念、在运营管理中的应用及工具使用 - 掌握如何将AI无缝地融入运营管理流程和组织 - 了解AI与运营管理的未来趋势 要求： 需拥有一个Google Gemini账户和一个ChatGPT账户，以便跟进课程内容并开始使用AI工具。注意：课程中涉及的某些工具可能需要订阅以访问完整功能。
(Beginner) Leveraging Artificial Intelligence for Enhanced Operations ManagementThis course delves into the transformative power of Artificial Intelligence (AI) in revolutionizing modern operations management.You will explore how cutting-edge AI techniques are being applied to optimize critical operational functions, driving efficiency, reducing costs, and enhancing decision-making.The curriculum provides a comprehensive overview of key operations management principles and demonstrates how AI can provide significant advantages across the value chain.Key topics include:Operations Management Fundamentals: A review of core concepts in operations management, including process design, capacity planning, inventory management, and scheduling, providing the foundational context for AI applications.AI-Powered Supply Chain Optimization: Discover how AI algorithms are used to optimize complex supply chain networks. Topics include intelligent sourcing, logistics optimization, inventory management powered by machine learning, and risk assessment for resilient supply chains.Demand Forecasting with Machine Learning: Learn advanced forecasting techniques leveraging machine learning models to predict future demand with greater accuracy. Explore time series analysis, regression models, and neural networks for improved inventory planning and resource allocation.Predictive Maintenance through AI: Understand how AI and machine learning are transforming asset management through predictive maintenance. Explore sensor data analysis, anomaly detection, and predictive modeling to anticipate equipment failures, minimize downtime, and optimize maintenance schedules.AI for Quality Control and Assurance: Examine the application of computer vision, natural language processing, and machine learning in enhancing quality control processes. Learn how AI can automate defect detection, improve process monitoring, and ensure consistent product quality.Through case studies, real-world examples, and hands-on exercises, you will gain a practical understanding of how to implement and manage AI-driven solutions in various operational settings. This course is ideal for professionals and students seeking to understand the strategic and tactical implications of AI in shaping the future of operations management.The course provides the learner with the following resources.Course presentationCourse eBook/study guideDemonstrations with Google Gemini and ChatGPTExpected Learning OutcomesAt the end of the course, the learners will be acquainted with the following.Understand AI's role in operations managementLearn about what AI is, where it fits in Operations Management, how we can use tools and identify trends, etc.Learn about implementing AI seamlessly into operations management processes and organizations.Learn the future trends of AI with Operations ManagementRequirementsA Google Gemini account and a ChatGPT account that you can use to follow along and get started with using AI tools.Note: Some tools covered in this course may require a subscription to access full features and functionality.
