Strategic Lean Management in the Age of AI 人工智能时代的战略精益管理 (MSM518)

MSM518 人工智能时代的战略精益管理 (Strategic Lean Management in the Age of AI) provides a strategic framework for integrating the time-tested principles of Lean management with the disruptive power of artificial intelligence. Designed for postgraduate-level students, through classroom teaching, case study discussions, and Lean simulation games, this course explores how organisations can transition from traditional, reactive efficiency to a predictive excellence model in the age of AI. Students will learn to identify digital waste, leverage AI-powered process mining to visualise hidden value streams, and design self-correcting operational systems. The course emphasises the synergy between human-centric leadership and algorithmic optimisation, preparing future managers and leaders to architect agile, intelligent, and ethical organisations. MSM518 人工智能时代的战略精益管理提供了一个将经受时间考验的精益管理原则与人工智能颠覆性力量相结合的战略框架。本课程专为研究生层次的学生设计，通过课堂教学、案例讨论、精益仿真游戏，旨在探讨组织如何在人工智能时代从传统的被动效率模式转型为预见性卓越模式。学生将学习如何识别数字浪费，利用 AI 驱动的流程挖掘技术使隐藏的价值流可视化，并设计具备自纠错能力的运营系统。课程强调以人为本的领导力与算法优化之间的协同效应，旨在培养能够构建敏捷、智能且符合伦理规范的未来组织的管理者和领导者。

• The Lean-AI paradigm: Leveraging synergy between core Lean principles and AI capabilities to achieve intelligent excellence. 精益-AI 范式：利用核心精益原则与 AI 能 力的协同效应，实现智能卓越。
• The new taxonomy of waste in the age of AI through Lean simulation games: DOWNTIME and digital waste. 通 过 精 益 仿 真 游 戏 识 别 AI 时 代 的 新 型 浪 费 ： 八大浪费 （DOWNTIME）与数字浪费。
• Conducting Gemba work with digital-enabled visual management & 5S through Lean simulation games. 通过精益仿真游戏，利用数字化视觉管理与 5S 开展现场工作。
• Creating living value streams through Lean simulation games: Integrating VSM with AIpowered process mining. 通过精益仿真游戏，构建“活的”价值流：将价值流图与 AI 驱动的流程挖掘深度整合。
• Anticipatory logistics: Building JIT & pull systems with digital intelligent technologies. 前 瞻性物流：利用数智技术构建准时化与拉动系统。
• Cognitive quality: AI-Enhanced Jidoka & Poka-Yoke. 认知质量：AI 增强型自働化与 AI 驱动的防错机制。
• Accelerated learning with AI-Augmented A3 Thinking & PDCA 2.0. 加速学习：AI 赋能 的 A3 思维与 PDCA 2.0。
• Achieving dynamic stability through AI-driven standardisation & self-correcting systems. 实现动态稳定性：通过 AI 驱动的标准化与自纠错系统建立稳定性。
• Algorithmic Alignment: AI-Integrated Hoshin Kanri. 算法对齐：AI 整合型方针管理。
• Cultivating the kaizen mindset in a high-tech world. 在高科技世界中培养改善心态.
• Scaling AI-integrated Lean transformation strategy. 规模化实施 AI 整合型精益转型战略。
• The augmented workforce: Ethics, change, and the future of work. 增强型劳动力：伦理、 变革管理与工作的未来。

• Appraise the differences between traditional Lean and digital Lean, identifying when to use human-centric vs. algorithm-centric solutions. 评判传统精益与数字精益的区别，并能 识别在何种场景下应采用以人为中心或以算法为中心的解决方案。
• Estimate the Return on Investment (ROI) of digital transformation projects by measuring the reduction in digital waste. 通过衡量数字浪费的减少程度，估计数字化转型项目的 投资回报率 (ROI)。
• Assess root causes using data-driven tools integrated with predictive analytics. 利用整合 了预测性分析的数据驱动工具，评估根本原因。
• Critique the ethical implications of AI in the workplace, focusing on employee autonomy and the “Respect for People” pillar of Lean. 批判性评价 AI 在工作场所中的伦理影响， 重点关注员工自主权以及精益管理中“尊重员工”这一支柱。
• Create value stream maps using AI-powered process mining to identify hidden bottlenecks. 利用 AI 驱动的流程挖掘技术，制作价值流图从而识别隐藏的瓶颈。
• Combine Lean principles with AI capabilities to design self-correcting operational processes. 结合精益原则与 AI 能力，设计具备自我纠错能力的运营流程。