Hybrid Conferencee

International Conference on Statistical Quality Control and Industrial Applications (ICSQCIA - 26)

5th - 6th October 2026 | Milan, Italy
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Conference Brochure
Sample Full Paper
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Conference Notifications:

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Milan. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Milan event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Milan conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Milan, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Milan."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICSQCIA aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.

The conference highlights advancements in Statistics, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Quality control techniques in manufacturing
02
Statistical process control applications
03
Six Sigma methodologies in industry
04
Reliability engineering and statistical methods
05
Statistical quality improvement strategies
06
Data-driven decision making in quality control
07
Quality assurance in service industries
08
Statistical methods for product testing
09
Control charts for industrial processes
10
Sampling techniques for quality assessment
11
Statistical modeling of production processes
12
Quality management systems and statistics
13
Statistical analysis of defects and failures
14
Lean manufacturing and statistical tools
15
Benchmarking and performance measurement
16
Statistical methods for supply chain quality
17
Risk management in quality control
18
Statistical training for quality professionals
19
Applications of machine learning in quality control
20
Statistical software for quality analysis