Manufacturing is the oldest industry, yet it remains one of the most misunderstood. When we think of manufacturing innovation, we still picture automation, robots, and productivity improvements. However, in RIE2030, manufacturing is not merely a subject for efficiency enhancement. The document's perspective on manufacturing is far more fundamental.
In Singapore's 2030 national strategy, RIE2030 (Research, Innovation and Enterprise), manufacturing is not about "how to operate factories" but rather "what assets manufacturing creates."
In traditional manufacturing, the core value was the product itself. Competitiveness meant making things cheaper, faster, and in greater quantities. But this formula is reaching its limits. Room for cost reduction has shrunk, supply chain risks have grown, and environmental and energy costs have become factors that cannot be ignored.
Consider the semiconductor industry. In the past, competitiveness meant producing more chips at lower prices. Today, however, semiconductor factories are not simple production facilities. They are massive technology platforms that accumulate process data. Thousands of process variables and equipment data generated in advanced manufacturing become core corporate assets. The reason production quality differs even with identical equipment lies in these data assets. Manufacturing competitiveness is no longer determined by factory scale but by the depth of process data.
Singapore recognizes this reality precisely. That is why RIE2030 redefines manufacturing not as production activity but as a transformation platform. It designs a structure that converts data generated during manufacturing, process standards, energy management methods, and material utilization know-how into assets.
From this perspective, smart manufacturing is not the goal. Digital twins, AI-based process optimization, and automation are all tools that enable transformation. The real objective is for processes themselves to become repeatedly usable assets. Process data becomes industrial competitiveness, and process standards become negotiating power in global markets.
This change becomes clear when examining the aircraft engine manufacturing industry. Sensor data and maintenance data accumulated during engine production are not mere production information. Engine manufacturers use this data to provide predictive maintenance services and improve airline operational efficiency. Manufacturing companies transform from product-selling enterprises into data-based service enterprises. This is a prime example of how data generated in manufacturing extends into new industries.
Another important change is the relationship between manufacturing and ESG (Environmental, Social, and Governance). Traditionally, ESG in manufacturing was a cost. Companies had to pay additional expenses to meet regulations. However, RIE2030 reverses this relationship. Energy efficiency data, carbon management data, and resource utilization data are no longer just reporting figures. When managed as reliable data, they become standards for investment and finance.
For example, global automakers now require carbon data from parts suppliers. If a company cannot manage emissions data across the entire supply chain, contracts become difficult. Conversely, companies that can precisely manage and disclose carbon data gain higher trust in global supply chains. ESG management capability becomes an asset that determines market access rather than a cost.
This is manufacturing in the transformation economy. Manufacturing is redesigned not as a cause of environmental burden but as a space that creates trust and assets.
This is why Singapore does not abandon manufacturing. It does not view manufacturing simply as a domain of cheap labor or mass production. Rather, manufacturing is a field where technology, data, and ESG are most concentrated and where transformation can be experimented.
Singapore's advanced manufacturing strategy clearly demonstrates this approach. Centering on industries such as semiconductors, biopharmaceuticals, and precision engineering, it accumulates process data and technological capabilities and expands them into collaboration platforms with global companies. Manufacturing facilities themselves become centers for creating technological cooperation and industrial ecosystems, not mere production bases.
This approach offers important implications for Korea. When we discuss manufacturing competitiveness, we still focus on production volume and costs. But the questions must change. What assets are our manufacturing sites accumulating? Is process data being built up, or is it disappearing? Are ESG achievements remaining as costs, or are they being converted into trust?
For example, many small and medium-sized manufacturing companies in Korea still leave production data only inside their equipment. If process data is not standardized and accumulated, it is difficult to translate into competitiveness for the entire industry. Conversely, if data is connected to industrial platforms, individual factory experiences can expand into national manufacturing capabilities.
RIE2030 does not say it will save manufacturing. Instead, it says it will redesign manufacturing. And at the center of that design lies the concept of transformation.
In the next installment, I will examine health, another domain as important as manufacturing. This is because health is not a matter of technology but of systems and cost structures.
