The technique being tested is about watching how a work center actually performs against what was planned, using a formal baseline developed through planning. In this approach, planned inputs and planned outputs are created by Capacity Requirements Planning (CRP) and then approved by management to establish the approved workload. On the shop floor, actual inputs and actual outputs are tracked, and variances between what was planned and what actually happened are monitored. This allows you to detect when a work center is over- or under-loaded and take timely corrective actions to keep capacity in balance. Infinite loading would ignore capacity limits and push schedules regardless of feasibility. CRP itself is the planning step that computes the required capacity and the planned inputs/outputs, but it doesn’t perform the ongoing monitoring of actual performance. Kanban governs material flow with a pull system and does not focus on monitoring capacity against a planned baseline.

Level production to match demand means smoothing the production schedule so output runs at a constant pace that aligns with the planned rate of sales. This idea is embodied in Heijunka, which aims to level both production volume and product mix across time and the supply chain. By producing at a steady rate and distributing work evenly, the system reduces inventory, avoids peak loads, and helps ensure a reliable flow that matches customer demand. Jidoka focuses on quality at the source and the ability to stop the line to fix defects. Kaizen is about ongoing improvement. Andon is the signaling system that alerts when problems occur. The described approach—steady, leveled production to match sales rate—best fits Heijunka.

The main idea here is producing at a constant rate and using inventory as the buffer to meet varying demand. This approach, known as level production, keeps the output pace steady across the planning horizon. When demand rises or falls, production stays the same while inventory is built up or drawn down to absorb these differences. This stabilizes operations, reduces the need for changes in labor or setup, and smooths the schedule, though it may raise inventory carrying costs. This is why the level production method is the best fit: it explicitly aims to maintain a stable output rate and uses inventory levels to absorb demand fluctuations. The other concepts aren’t about keeping output constant while buffering with inventory; they involve prioritizing lead times, cost calculations, or different scheduling interpretations that don’t center on a fixed production rate.

Manufacturing lead time is the total time inside the factory to convert raw materials into finished goods, starting when a production order is released and ending when the finished product is ready for inventory or the next step. It includes all internal steps such as setup, processing, assembly, inspection, and any waiting or material handling that occurs within the plant. It does not include time spent acquiring materials from suppliers (procurement lead time) or delivering the finished product to the customer (delivery lead time). For contrast, cycle time is the actual time to complete the processing of a unit through the operations, while procurement lead time and delivery lead time refer to external stages: obtaining materials from suppliers and shipping to customers, respectively.