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VGU RESEARCH REPOSITORY


Please use this identifier to cite or link to this item: https://epub.vgu.edu.vn/handle/dlibvgu/2122
Title: Developing predictive maintenance strategies for smes challenges solutions and a roadmap for effective implementation
Authors: Huynh Nam Son 
Keywords: Predictive maintenance;Industry 4.0;Data-driven maintenance;Operational efficiency
Issue Date: 2025
Abstract: 
Predictive Maintenance (PdM) has emerged as a key strategy for enhancing operational efficiency in manufacturing by leveraging real-time data to anticipate equipment failures. While large enterprises have successfully adopted PdM using IoT, machine learning, and data analytics, small and medium-sized enterprises (SMEs) face unique challenges due to limited financial resources, technical infrastructure, and skilled personnel. This thesis develops a comprehensive framework for implementing PdM in SMEs, identifying critical system components, structural models, and relevant technologies. It analyzes SME-specific barriers and proposes practical solutions to overcome financial, technical, and organizational constraints. Furthermore, the study evaluates the potential impact of PdM on key performance indicators such as equipment availability, product quality, and overall equipment effectiveness (OEE). Based on these insights, a step-by-step implementation roadmap is proposed, tailored to the capabilities and requirements of SMEs, enabling a practical transition to data-driven maintenance strategies that improve efficiency, reliability, and competitiveness.
URI(1): https://epub.vgu.edu.vn/handle/dlibvgu/2122
Rights: https://creativecommons.org/licenses/by-nc/4.0/
Appears in Collections:Global Production Engineering & Management (GPEM)

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