Optimizing operational performance through industry 4.0: a comprehensive model for data reliability and OEE enhancement

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Abstract In today's industrial context, three key elements are guiding the course of small and medium-sized enterprises (SMEs) towards improved productivity, efficient operations, and sustainable growth. The introduction of Industry 4.0 signifies a groundbreaking shift, integrating state-of-the-art technologies into manufacturing processes and propelling industries towards heightened efficiency and competitiveness. This article deals with the crucial role of productivity measurement in SMEs and examines the impact of data reliability on operational performance assessment. It explores the strategic use of Industry 4.0 tools to enhance data reliability in processes like production, quality, and maintenance. The research focuses on designing a comprehensive model for data collection, reliability, and utilization, ultimately aiming to improve Overall Equipment Effectiveness (OEE) within SMEs. By showcasing the synergistic integration of Industry 4.0 advancements, the article provides practical insights for SME stakeholders to optimize operational performance. The proposed model contributes to the understanding and implementation of efficient methodologies for data management, fostering sustainable improvements using calculation of OEE within SMEs. The case study was conducted in a plastics manufacturing SME that produces components for various industries. These findings can be enhanced and improved through additional case studies to refine the proposed model.

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