Production Planning

Last updated 2026.02.13
생산계획Production PlanningMRP스케줄링Scheduling수요예측제조AIManufacturing AI최적화

Definition

Production Planning is the process of efficiently allocating resources such as workforce, materials, and production facilities to meet customer demand in manufacturing environments. It is a core manufacturing process that determines when, where, and how much to produce.

Application in Manufacturing

Key Functional Areas

  • Demand Forecasting & Volume Planning: Setting production targets based on sales forecast data
  • Scheduling: Assigning work sequences and timelines for each production line
  • Material Requirements Planning (MRP): Calculating types and quantities of required raw materials and components
  • Capacity Management: Optimizing equipment utilization and workforce allocation

AI Applications

Manufacturing facilities are rapidly adopting AI-powered production planning systems. Machine learning algorithms learn from historical production data, equipment status, and demand patterns to automatically generate optimal production schedules. For instance, in semiconductor fabs, AI adjusts production plans in real-time considering hundreds of processes and equipment, while automotive parts factories receive immediate alternative plans when unexpected shortages or equipment failures occur.

Key Points

Effective production planning must simultaneously achieve three objectives: on-time delivery, inventory minimization, and production cost reduction. AI has become a powerful tool supporting decision-making for production planners by finding optimal solutions that humans struggle to identify within complex constraints.