Abstract
Quality Management Systems (QMS) have traditionally played a critical role in ensuring product conformity, regulatory compliance, and continuous improvement in organizations. With the rapid digitalization of industrial and service sectors, conventional paper-based or partially automated QMS approaches are increasingly insufficient to meet modern requirements of speed, transparency, and data-driven decision making. Digital Quality Management Systems (Digital QMS) represent an evolution of traditional quality practices by integrating software platforms, real-time data acquisition, analytics, and cross-functional connectivity. This paper presents a comprehensive review of Digital QMS integration, focusing on its concepts, architecture, enabling technologies, implementation strategies, benefits, challenges, and future trends. The study highlights how Digital QMS supports Industry 4.0 initiatives by enabling predictive quality, closed-loop feedback, and enterprise-wide quality visibility. Practical use cases from manufacturing, healthcare, automotive, and service sectors are discussed. Although Digital QMS offers significant operational and strategic advantages, organizations often face barriers related to change management, data integration, and cybersecurity. The paper concludes that successful Digital QMS integration requires a balanced approach combining technology, process redesign, and organizational culture.
Keywords: Digital QMS, Quality 4.0, Quality Management Systems, Industry 4.0, Process Integration, Data-driven quality
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