Hybrid Conferencee

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

5th - 6th October 2026 | Milan, Italy

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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."

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 8
SDG 8 Decent Work and Economic Growth
SDG 9
SDG 9 Industry, Innovation and Infrastructure
SDG 11
SDG 11 Sustainable Cities and Communities
Track 01

Advancements in Statistical Quality Control Techniques

This track focuses on the latest methodologies and innovations in statistical quality control. Researchers are encouraged to present their findings on new control charts and monitoring techniques that enhance quality assurance in various industries.

Track 02

Applications of Six Sigma in Modern Manufacturing

This session explores the integration of Six Sigma methodologies in contemporary manufacturing processes. Papers should highlight case studies and empirical research demonstrating the impact of Six Sigma on quality improvement and operational efficiency.

Track 03

Reliability Engineering and Risk Assessment

This track addresses the principles of reliability engineering and their application in risk assessment across different sectors. Contributions should focus on statistical methods for evaluating and improving system reliability and safety.

Track 04

Innovative Sampling Methods for Quality Improvement

This session invites discussions on novel sampling techniques that enhance quality control processes. Papers should present theoretical advancements and practical applications of sampling methods in industrial settings.

Track 05

Design of Experiments in Industrial Applications

This track emphasizes the role of design of experiments (DOE) in optimizing industrial processes. Researchers are encouraged to share their insights on experimental designs that lead to significant quality improvements and cost reductions.

Track 06

Statistical Modeling for Process Control

This session focuses on the development and application of statistical models for effective process control. Contributions should demonstrate how modeling techniques can be utilized to enhance decision-making in industrial environments.

Track 07

Quality Improvement Strategies in Production Systems

This track examines various strategies for quality improvement within production systems. Papers should explore systematic approaches and tools that lead to enhanced product quality and operational performance.

Track 08

Manufacturing Statistics: Trends and Innovations

This session highlights emerging trends and innovative practices in the field of manufacturing statistics. Researchers are invited to present studies that showcase the application of statistical methods in improving manufacturing processes.

Track 09

Statistical Process Control in Emerging Industries

This track investigates the application of statistical process control (SPC) techniques in emerging industries such as biotechnology and renewable energy. Contributions should focus on the unique challenges and solutions in these rapidly evolving sectors.

Track 10

Quality Assurance through Statistical Analysis

This session emphasizes the importance of statistical analysis in ensuring quality assurance across various industries. Papers should discuss methodologies that leverage statistical tools to monitor and improve quality standards.

Track 11

Integrating Statistical Methods with Industry 4.0

This track explores the intersection of statistical methods and Industry 4.0 technologies. Researchers are encouraged to present innovative approaches that utilize big data analytics and machine learning for enhanced quality control and process optimization.