SNRI

(ICSQCIA - 27) | Hybrid Event
13th - 14th January 2027 | Natal, Brazil

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International Conference on Statistical Quality Control and Industrial Applications
(ICSQCIA - 27)

13th - 14th January 2027 Natal, Brazil (Hybrid Event)

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Call for Paper

The ICSQCIA is committed to addressing global challenges through impactful research and sustainable solutions. It brings together researchers dedicated to advancing knowledge for societal benefit. Focusing on Statistics, the conference promotes research aligned with global development goals and long-term sustainability. Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Quality control techniques in manufacturing
  • Statistical process control applications
  • Six Sigma methodologies in industry
  • Reliability engineering and statistical methods
  • Statistical quality improvement strategies
  • Data-driven decision making in quality control
  • Quality assurance in service industries
  • Statistical methods for product testing
  • Control charts for industrial processes
  • Sampling techniques for quality assessment
  • Statistical modeling of production processes
  • Quality management systems and statistics
  • Statistical analysis of defects and failures
  • Lean manufacturing and statistical tools
  • Benchmarking and performance measurement
  • Statistical methods for supply chain quality
  • Risk management in quality control
  • Statistical training for quality professionals
  • Applications of machine learning in quality control
  • Statistical software for quality analysis
Review & Publication

All submissions will be reviewed for their contribution to global impact and research quality. Accepted papers will be presented and considered for publication in reputed platforms.

Registration

Join participants from around the world by completing your registration and becoming part of a global research community.

Publication

Accepted papers will gain international exposure through conference presentations and publication opportunities.

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