Lisa Anderson pitches hyperscale manufacturing as the next U.S. model

Supply chain expert Lisa Anderson says U.S. manufacturers need a new operating model that can scale production by multiples, not increments, as demand, geopolitics and technology shift faster. She points to defense, semiconductors, drones and other sectors as early tests of hyperscale manufacturing.

Why it matters: - U.S. manufacturers face demand swings, geopolitical risk and pressure to expand domestic production at speed. - Anderson argues the old model of small efficiency gains will not be enough in industries that may need 10x or 20x output growth. - Hyperscale manufacturing could help companies scale faster without rebuilding their operations every time demand changes.

What happened: - Lisa Anderson, president of LMA Consulting Group, is highlighting hyperscale manufacturing as an emerging operating model for U.S. industry. - Anderson said the model applies the speed, scalability and modularity of technology companies to physical production. - The concept focuses on designing products, production systems and supply chains to scale by multiples instead of percentages. - Anderson discussed the approach in the context of growing needs across defense, shipbuilding, electronics, semiconductors, artificial intelligence-related products and advanced industrial products.

The details: - Modular product design, standardized components and interchangeable platforms can reduce complexity while making scale-up faster. - Software-defined production can include digital work instructions, real-time production monitoring, Manufacturing Execution Systems, Advanced Planning and Scheduling, and artificial intelligence. - Facilities need replicable production lines, flexible layouts and the ability to add capacity quickly from the start. - High throughput, shorter cycle times and greater vertical integration can support faster expansion. - Supply chains need multiple sources, standardized components and enough capacity to grow with demand. - Anderson said hyperscale manufacturers build scalability into the architecture instead of adding it later. - In one example, Anderson worked with a company preparing for major drone production growth. - Long-range revenue forecasts by country and product category, developed through SIOP, showed the company could not wait for final orders before forecasting critical materials and capacity needs. - Anderson said drones and other fast-changing technologies require an operating model that can evolve along with the product. - Anderson said hyperscale concepts are already visible in automotive, batteries, electronics and semiconductor manufacturing, where automation, standardized platforms and rapid capacity expansion matter most. - Anderson said pharmaceuticals, medical equipment and industrial manufacturers can also use pieces of the model to become more scalable and responsive.

Between the lines: - The argument is not that every factory should chase massive scale. - The bigger shift is strategic: manufacturers should plan for volatility, faster product turnover and the possibility of abrupt capacity jumps. - AI is becoming part of that shift because it can improve planning, visibility and decision-making faster than traditional tools. - Technology alone is not enough, and Anderson said success also depends on strategy, processes, infrastructure and talent.

What's next: - Anderson expects more manufacturers to assess how quickly they can add capacity, how modular their products are and whether suppliers can scale alongside them. - Companies are likely to examine whether their systems provide real-time information and whether they can change direction without stopping production. - Anderson says forward-looking manufacturers should decide now which hyperscale concepts fit their future products, workforce, technology and supply chain needs. - More information is available through LMA-ConsultingGroup.com.