A New Approach to the Quality Control Process in Industry 4.0
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Date
2025
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Abstract
In the realm of traditional manufacturing, statistical metrology serves as a fundamental
pillar for evaluating product quality after the production line. In contrast, the rise of smart
manufacturing has revolutionized a reactive measurement process to a proactive and essential
element of production. This evolution is crucial for ensuring that products consistently
meet contemporary quality standards throughout the manufacturing cycle. Furthermore, the
advent of Industry 4.0 marks a profound shift in organizational dynamics, underscoring the
critical need for cultural transformation that emphasizes collaboration, agility, and continuous
learning.
This research highlights the importance of fostering partnerships between businesses,
academic institutions, and governmental entities to drive the evolution of Industry 4.0.
These collaborations facilitate the integration of new technologies, promote research and
development, and create a thriving ecosystem that nurtures innovation, thus ensuring the
democratization of technological benefits across industries and communities.
This thesis aims to present a comprehensive and systematic approach that seeks to optimize
the Six Sigma methodology by evolving it into a proactive system. Hence, we examine
the Six Sigma methodology, known for its rigorous approach to process improvement, which
includes a suite of statistical tools aimed at reducing errors and enhancing quality. This
study presents an innovative adaptation of Six Sigma that incorporates modern statistical
techniques and integrates cutting-edge technologies to address quality challenges in diverse
sectors such as manufacturing, agriculture, and education. Central to this advancement is the
introduction of a new approach that combines Six Sigma’s core principles with AI-driven
quality control and decision-making optimization. This approach is designed to be scalable,
adaptable, and flexible, ensuring its relevance in the context of digital transformation and
its applicability across various industries. Through the development of the 5I approach, this
research proposes a dynamic and forward-thinking approach to continuous improvement
and operational excellence, enabling organizations to preemptively address challenges and
enhance their overall performance.