In a highly competitive market, manufacturing costs directly impact profitability. Orbital riveting, as a common processing technology, has enormous potential for cost optimization. However, achieving the lowest Total Cost of Ownership (TCO) requires abandoning the old mindset of focusing solely on machine purchase price and instead managing three key factors: Overall Equipment Effectiveness (OEE), energy consumption, and process quality losses.
- Key A: Invest in “High-Efficiency Assets,” Not “Low-Cost Equipment”
Equipment costs are amortized over the entire lifecycle and allocated to each qualified part; OEE (output per unit of time) is a critical indicator.
Purchase Value: Simple machines lead to slow speeds, frequent downtime, and long debugging times, resulting in high amortized costs.
Optimization Strategy: Choose high-OEE servo orbital riveting machines. Their value lies in: high cycle rates and stability to increase effective output; digital quick mold change to reduce downtime; and high reliability to minimize downtime due to failures.
- Key B: Target “Energy Black Holes” for Green Energy Savings
Under the “dual carbon” goals, energy is a significant hard cost. Traditional riveting equipment wastes a surprising amount of energy.
Energy Black Hole Analysis: Pneumatic systems rely on compressors, and overall energy utilization is usually below 15%; hydraulic systems have continuous overflow and throttling losses, converting a large amount of electrical energy into useless heat.
Cost Strategy: Switch to all-electric drive for on-demand power supply and eliminate conversion losses. Servo riveting machines can save tens of thousands of yuan in electricity costs annually compared to pneumatic or hydraulic systems, with even greater savings across multiple production lines.
- Key C: Eliminate “Scrap Rate”
Scrap is the biggest cost in riveting, consuming not only rivets but also all the accumulated value of previous processes on that workpiece. Scrap cost composition: Scrap cost = (Material cost + Previous process value + Riveting cost) * Number of scrapped parts.
Optimization Strategy: Shift from “post-process inspection and scrapping” to “real-time process prevention.”
Process Stability: Use closed-loop control servo equipment to ensure absolute parameter consistency from the source, eliminating random defects. Monitoring and Error Prevention: Utilizing force-displacement curves and machine vision alignment technologies to detect and stop the process at the first sign of a defect.
Root Cause Prevention: Using SPC analysis to monitor process data trends and make adjustments before process drift leads to batch rejection.
Conclusion:
Reducing the total cost of the riveting process is a profound management transformation. It requires companies to shift their focus from “unit price” to “value,” from “reactive maintenance” to “proactive prevention,” and from “experience-based management” to “data-driven decision-making.” ShunTai Technology’s integrated solutions are designed around these three cost dimensions, aiming to help customers build efficient, energy-saving, high-quality, and sustainable production systems.