Labor reduction and efficiency improvement should not start with the question, “Which machine should replace workers?” A better question is, “Which processes are creating waste, and which process variations are consuming labor?” For ceramic sanitary ware factories, if workflow is disorganized, process parameters are unstable, and rework is frequent, automation may only repeat the same problems faster.
The first step is to identify process waste. Many factories require too many workers not because production demand is high, but because waiting, repeated handling, rework, over-inspection, and delayed information consume manpower. According to the Lean Enterprise Institute, value stream mapping helps companies visualize material and information flow from order to delivery. In sanitary ware production, if casting, drying, trimming, glazing, firing, and packing are not synchronized, semi-finished products accumulate and labor is used to manage disorder rather than create value.
The second step is to stabilize key process parameters. Slip density, body moisture, mold condition, glaze viscosity, spray thickness, drying rhythm, and firing curve all affect yield rate. If these parameters are not standardized, workers must constantly solve defects on site. This creates hidden labor demand. The ISO 22400 framework for manufacturing operations KPIs highlights the importance of measurable indicators such as quality rate, utilization, efficiency, and performance. For factories, first-pass yield, rework rate, scrap rate, equipment utilization, and output per worker should become core efficiency metrics.
The third step is to redesign jobs before introducing automation. Heavy, repetitive, dusty, and quality-sensitive tasks—such as handling, grinding, spraying, loading, and unloading—are strong candidates for assisted equipment or automation. According to IFR World Robotics 2025, 542,000 industrial robots were installed globally in 2024, showing that automation is becoming a major manufacturing trend. However, automation should support stable processes and efficient workflow, not replace weak management.
The Deloitte 2025 Smart Manufacturing Survey reports improvements in production output, employee productivity, and unlocked capacity among manufacturers adopting smart manufacturing. This means the real value of labor reduction is not simply having fewer people, but achieving higher output per person, more stable quality, and better delivery control.
Conclusion
Labor reduction is not a machine-purchasing project. It is a system improvement project. Factories should first optimize workflow to reduce waiting and handling, then stabilize processes to reduce rework and scrap, and finally redesign jobs so machines handle repetitive work while people focus on operation, quality control, and continuous improvement. The goal is not just fewer workers, but a leaner, more stable, and more competitive factory.