Statistical Process Control (SPC)

Do you understand the process capability of your products during the manufacturing process to regulate quality and reduce the cost of poor quality? Do you have high labour costs from product inspections?

With real-time visibility of when your process is trending out of control, adjustments can be quickly made to improve process capabilities and minimise the costs of poor quality or product giveaway. Food and beverage and FMCG companies can take advantage of ITI Group’s (formerly Cimlogic) Quality SPC solution to facilitate long-term continuous improvement and carve out a sustainable competitive advantage.

Quality Management Checklist

Read the Quality Management cheklist guide for expert advice on how to improve yield, reduce waste and avoid damaging product recalls.

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Quality SPC Solution

Built on the MES TrakSYS™ platform from Parsec Corp, ITI Group’s (formerly Cimlogic) Quality SPC Solution gives manufacturers real-time visibility of quality issues and understanding of process capabilities throughout the manufacturing plant, to reduce the cost of poor quality:

  • Utilise statistical process control (SPC) for process variability and root cause analysis
  • Maximise labour efficiency through the reduction of costly inspection processes, whilst maintaining customer satisfaction
  • Understand your products process capability throughout your manufacturing plant and reduce the cost of poor quality
  • Gain real-time visibility when the process is trending out of control, enabling proactive resolution
  • Reduce product giveaway, maximise yield and increase the bottom line
“With TrakSYS we have the capability to understand our efficiency development opportunities at a granular level. Once identified and prioritised, we can create programs for improvement and develop tools within TrakSYS to help us remain in control. We spent about six months on the planning, and one month on implementation. The system was installed in January, and by February, TrakSYS was already providing us the data we needed.”

Bernard Longmore, VP of Engineering, WaterWipes

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[email protected]

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