Future of Manufacturing Project
Will AI Enable Autonomous Plants and Factories?
Let’s Talk About AI event speaker, Dr. Hiroaki Kanokogi, shares how AI allowed Yokogawa to autonomously run a chemical plant for 35 consecutive days
Yokogawa says AI and reinforcement learning can help factories run autonomously, showing a 35-day chemical plant demo and faster control with its FKDPP technology.
The Need to Accelerate Industrial AI Adoption By 2030
Manufacturers must urgently accelerate AI adoption as it becomes a major driver of competitiveness, productivity, and operations by 2030, with ethics and workforce impacts also emerging.
Ten Takeaways from M in 2030 Project A Lens on the Future Panel
Survey respondents expect faster digital adoption, more autonomous operations, and greater use of AI by 2030, while workforce shortages remain a concern. Experts say manufacturers must invest in visibility, ethics, and digital transformation to stay competitive.
M2030: Making Business Model Innovation a Priority
Manufacturers must prioritize business model innovation by strengthening value-chain relationships, leveraging connected-product data, and focusing on the most valuable market positions to stay competitive through 2030.
The Next Phase of Digital Evolution: Business Model Innovation
Manufacturing’s future will be shaped by AI, data mastery, and digital transformation, according to MLC’s 2030 white paper. Experts say agility, sustainability, and new business models will drive industry competitiveness.
M2030 Perspective: The Manufacturing Metaverse
Manufacturing’s metaverse opportunity lies in blending digital and physical environments through AR, VR, blockchain, and autonomous digital twins. Experts say this could enable persistent, intelligent factory operations without human intervention.
The Rise of Digital Manufacturing Ecosystems
Digital manufacturing ecosystems are creating new partnerships and integrated supply networks, driving commoditization, additive manufacturing growth, and new on-demand production models.
The Coming Distributed Enterprise: Local, Customized, and Flexible
By 2030, additive manufacturing, distributed production networks and blockchain could enable a more local, customized and flexible manufacturing enterprise. Digital transformation and AI are reshaping both production and enterprise operations.
M2030 Perspective: Moving to M4.0’s Second Phase
Manufacturing is entering Industry 4.0’s application phase, where IIoT, AI and secure data drive new business models and flexible global supply chains. Success will depend on technology, stable politics, and skilled workers.
Putting Intelligence Back into AI
AI is transforming manufacturing, but the article warns that data-heavy tools can overlook essential domain knowledge. It offers 10 recommendations to help AI and machine learning deliver practical operational value.
