Before investing in new facilities or equipment, manufacturers should maximize existing capacity and capabilities. In the Industrial Insights podcast, Lisa Anderson and Justin Smith discuss how production planning, ERP, AI, SIOP, and supply chain network optimization can improve performance and support profitable growth.
Master Production Scheduling (MPS) bridges the gap between strategic planning and manufacturing execution. By connecting SIOP, MPS, MRP, and ERP capabilities, manufacturers can better align production with demand, anticipate constraints, improve operational performance, and build a stronger foundation for AI-enabled planning.
Manufacturers need to expand capacity, but building more of the same is not enough. Anduril's software-defined manufacturing approach demonstrates how integrating AI, automation, and technology from the start can accelerate production, strengthen the manufacturing ecosystem, and build scalable capacity to meet growing demand.
U.S. manufacturing growth opportunities are substantial, but capturing them will require a new playbook. Manufacturers must combine AI-enabled technologies, resilient regional supply chains, and proactive capacity planning to increase productivity, scale operations, and turn growing demand into profitable growth.
Supply chains can drive revenue and profitability, not just reduce costs. By connecting predictive analytics, AI, and SIOP with customer demand and business strategy, manufacturers can anticipate opportunities, optimize capacity and inventory, improve customer service, and achieve profitable growth.
Manufacturers cannot wait for disruption or opportunity to build capacity. Developing the right suppliers, talent, equipment, materials, technology, and capabilities in advance creates the flexibility to respond to changing conditions, support customers, and scale when opportunities arise.
AI, geopolitics, resilience, and workforce transformation dominated discussions at CHAINge 2026. A key takeaway was the growing power of AI-enabled SIOP to turn increasing supply chain complexity into clearer decisions, greater predictability, and profitable growth.
Reshoring production is only the first step. Apple’s investments in advanced manufacturing demonstrate why manufacturers need to build the people, supplier capabilities, capacity, AI, automation, and planning processes required to compete, scale, and capture future growth opportunities.
AI-enabled SIOP connects ERP, business intelligence, advanced planning, and supply chain visibility to turn data into better decisions. Manufacturers can anticipate demand and capacity requirements, evaluate scenarios, and build the scalability needed to drive predictable, profitable growth.
In this Supply Chain Byte, Lisa Anderson discusses how AI is being integrated into real supply chain operations. Learn why strong data, processes, and integrated systems are essential to achieving results.
