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.
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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
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
Companies Mentioned (Partial List)
A selection of companies mentioned in this report includes, but is not limited to:
- AstraZeneca Pharmaceuticals
- Beko Dishwasher
- Coca-Cola Company
- Continental Automotive
- F. Hoffmann-La Roche Ltd
- Foxconn
- GE HealthCare
- Haier
- Jubilant Ingrevia Limited
- McKinsey & Company
- Mengniu Dairy
- Midea
- P&G
- Qingdao Haier Air Conditioning
- QingDao Hisense Hitachi Air-Conditioning Systems
- Sanmen Nuclear Power
- Sany Renewable Energy
- Schneider Electric
- Siemens AG
- Taiyuan Heavy Industry Co
- Unilever
- Zhengzhou Coal Mining Machinery
Methodology
Primary research with a holistic, cross-domain approach
The exhaustive primary research methods are central to the value that the analyst delivers. A combination of questionnaires and on-site visits to the major manufacturers provides a first view of the latest data and trends. Information is subsequently validated by interviews with the manufacturers' suppliers and customers, covering a holistic industry value chain. This process is backed up by a cross-domain team-based approach, creating an interlaced network across numerous interrelated components and system-level devices to ensure statistical integrity and provide in-depth insight.
Complementing primary research is a running database and secondary research of industry and market information. Dedicated research into the macro-environmental trends shaping the ICT industry also allows the analyst to forecast future development trends and generate foresight perspectives. With more than 20 years of experience and endeavors in research, the methods and methodologies include:
Method
- Component supplier interviews
- System supplier interviews
- User interviews
- Channel interviews
- IPO interviews
- Focus groups
- Consumer surveys
- Production databases
- Financial data
- Custom databases
Methodology
- Technology forecasting and assessment
- Product assessment and selection
- Product life cycles
- Added value analysis
- Market trends
- Scenario analysis
- Competitor analysis
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