封面
市场调查报告书
商品编码
1599821

灯塔工厂和网路:Foxconn,Haier,Midea Group的最佳业务实践

Lighthouse Factories and Networks: Best Practices from Foxconn, Haier, and Midea Groups (pre-order)

出版日期: | 出版商: MIC - Market Intelligence & Consulting Institute | 英文 11 Pages | 商品交期: 3-5个工作天内

价格

2024年10月,最新一期灯塔工厂名单发布,凸显全球最先进的製造工厂,代表智慧製造的巅峰。这些工厂被认为是世界各地工业的典范。

本报告概述了灯塔工厂的最新发展,并考察了富士康集团、海尔集团和美的集团等两个新标竿。我们还提供有关其他製造商如何复製这些创新以增强其智慧製造工作的见解。

目录

第1章 lighthouse网路概要

  • 背景
  • lighthouse网路的重要性
  • lighthouse网路配销

第2章 灯塔工厂的案例研究

  • 灯塔工厂案例研究:富士康集团
    • 富士康透过全球扩张证明了灯塔工厂的专业知识
    • 富士康越南工厂利用人工智慧和数位孪生实现即时、互动式工厂监控
  • 端到端灯塔工厂:海尔集团案例研究
    • 设计端:AI优化空调运转参数
    • 製造端:AI支援真空检测和产能分配
    • 服务端:生成式 AI 提供技术人员逐步维护说明
  • 永续灯塔:美的集团案例研究
    • 绿色设计、製造、物流
    • 数位孪生、人工智慧和水回收技术优化用水
    • 电能动态人工智慧控制

第3章 来自灯塔工厂的教训

  • 2024 年灯塔工厂:新实用标准
    • 在脱碳范围1至3方面取得了优异的成绩,并在整个工厂利用新一代人工智慧推动智慧製造
    • 从渐进式到变革:数位转型的优势日益明显
  • 建造灯塔工厂的路线图:6 个关键成功因素
  • 效法灯塔工厂:采用富有远见的思维进行变革

第4章 MIC的观点

附录

Product Code: MCRPT24112201

In October 2024, the latest list of Lighthouse Factories was announced, highlighting the most advanced manufacturing plants globally and symbolizing the pinnacle of smart manufacturing. These factories are regarded as models for industries worldwide. This report provides an overview of the development of the newest Lighthouse Factories and examines two new benchmarks, including Foxconn Group, Haier Group, and Midea Group. It also offers insights into how other manufacturers can replicate these innovations to enhance their own smart manufacturing efforts.

Table of Contents

1. Lighthouse Network Overview

  • 1.1 Background
  • 1.2 Importance of Lighthouse Network
  • 1.3 Lighthouse Network Distribution

2.Lighthouse Factory Case Study

  • 2.1 Lighthouse Factory Case Study: Foxconn Group
    • 2.2.1 Foxconn Proves Its Lighthouse Factory Expertise with Global Expansion
    • 2.2.2 Foxconn Vietnam Plant Utilizes AI and Digital Twin for Real-Time Interactive Factory Monitoring
  • 2.3 End-to-End Lighthouse Factory: A Case Study of Haier Group
    • 2.3.1 Design Aspect: AI Optimizes Air Conditioner Operation Parameters
    • 2.3.2 Manufacturing Aspect: AI Assists in Vacuum Detection and Capacity Allocation
    • 2.3.3 Service Aspect: Generative AI Provides Step-by-Step Maintenance Instructions for Technicians
  • 2.4 Sustainable Lighthouse: A Case Study of Midea Group
    • 2.4.1 Green Design, Manufacturing, and Logistics
    • 2.4.2 Digital Twin, AI, and Water Recycling Technologies Optimize Water Use
    • 2.4.3 Dynamic AI Control of Electrical Energy

3. Lessons from Lighthouse Factories

  • 3.1 2024 Lighthouse Factories: New Practical Standards
    • 3.1.1 Excelling Across Scope 1-3 in Decarbonization; Advancing Smart Manufacturing with Generative AI at the Full-Factory Level
    • 3.1.2 From Incremental to Transformational: Increasingly Evident Benefits of Digital Transformation
  • 3.2 A Roadmap to Building Lighthouse Factories: Six Key Success Factors
  • 3.3 Emulating Lighthouse Factories: Adopting a Visionary Mindset for Transformation

4.MIC Perspective

Appendix

  • List of Companies

List of Tables

  • Table 1: 2024 Lighthouse Factory List
  • Table 2: Six Key Success Factors for Building Lighthouse Factories

List of Figures

  • Figure 1: 2024 Lighthouse Network Distribution
  • Figure 2: Foxconn Vietnam Plant Digital Twin Application Example