Reduce product defect rates, improve consistency and reliability.
- Analyze root causes of defects in production (e.g., material issues, equipment precision, operational errors).
- Monitor key parameters via Statistical Process Control (SPC) to ensure stable production.
- Implement Poka-Yoke to prevent human errors.
Enhance equipment reliability, reduce failures and downtime.
- Implement Total Productive Maintenance (TPM) to keep equipment optimal.
- Analyze failure modes and develop preventive maintenance plans.
- Use FMEA to identify potential risks and resolve them proactively.
Lower production costs, boost profit margins.
- Identify production waste (e.g., overproduction, waiting time, transportation waste).
- Eliminate waste via Lean Six Sigma combined with lean production methods.
- Optimize resource allocation to reduce unnecessary expenses.
Better meet customer needs and improve satisfaction.
- Identify key customer needs (CTQs) via feedback and data analysis.
- Optimize product design and service processes to meet expectations.
- Shorten delivery cycles and improve on-time delivery rates.
Enhance design reliability and manufacturability.
- Use DFSS (Design for Six Sigma) in design phase to ensure quality compliance.
- Optimize design parameters via DOE to reduce pilot production issues.
- Align design with production capabilities to cut later modification costs.
Enable data-driven decisions to boost management efficiency.
- Collect and analyze production, quality, equipment data to identify improvement opportunities.
- Use statistical tools (e.g., regression analysis, hypothesis testing) to verify improvement effects.
- Build data dashboards for real-time monitoring of key performance indicators (KPIs).
Reduce environmental impact, enhance safety.
- Analyze environmental risks (e.g., emissions, waste) in production and develop improvements.
- Optimize energy use to lower consumption.
- Reduce safety incidents via Six Sigma methods.
Enhance product design reliability and manufacturability.
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