International Journal on Science and Technology

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Enhancing Statistical Process Control (SPC) with Virtual Reality (VR) for Real-Time Quality Monitoring and Decision Making in Manufacturing

Author(s) Miss. Madhuri Vilas Chinchole
Country India
Abstract Maintaining consistent product quality is a fundamental challenge in modern manufacturing systems. Statistical Process Control (SPC) has long been used as an effective method for monitoring production processes and minimizing defects. However, traditional SPC systems primarily rely on two-dimensional charts and statistical reports, which may limit the efficiency of decision-making in complex manufacturing environments. With the emergence of immersive technologies, Virtual Reality (VR) has opened new possibilities for advanced data visualization and interactive process monitoring. This paper investigates the application of Virtual Reality technology to enhance Statistical Process Control systems for real-time quality monitoring and decision-making in manufacturing environments. The study examines how VR-based visualization can transform statistical production data into immersive three-dimensional environments, allowing engineers and quality managers to interact with process indicators more intuitively. The integration of SPC with VR enables early detection of process variations, improved understanding of production dynamics, and faster corrective actions. The research further explores practical applications of VR-enhanced SPC systems in modern manufacturing industries such as automotive, electronics, and pharmaceutical production. The study highlights how immersive visualization improves collaboration among production teams, supports training programs, and reduces the risk of production errors. Although certain implementation challenges exist, including technological costs and system integration complexity, the integration of VR with SPC offers significant advantages in the context of Industry 4.0 smart manufacturing systems.
Keywords Statistical Process Control, Virtual Reality, Quality Monitoring, Smart Manufacturing, Industry 4.0, Data Visualization.
Field Mathematics > Statistics
Published In Volume 17, Issue 1, January-March 2026
Published On 2026-03-31
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