American Journal of Advanced Multidisciplinary Research and Innovation

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Industry 5.0 and Intelligent Manufacturing: A Multidisciplinary Framework for Smart Production Systems

Author(s) Jennifer Widom
Country United States
Abstract The emergence of Industry 5.0 represents a paradigm shift beyond Industry 4.0 by emphasising human-centric manufacturing, sustainability, resilience, and intelligent collaboration between humans and advanced digital technologies. Unlike traditional automation-focused manufacturing systems, Industry 5.0 integrates Artificial Intelligence (AI), Machine Learning (ML), Internet of Things (IoT), Industrial Internet of Things (IIoT), Digital Twin Technology, Cloud Computing, Edge Computing, Big Data Analytics, Blockchain, Collaborative Robotics (Cobots), and Cyber-Physical Systems (CPS) to create adaptive, intelligent, and sustainable production ecosystems. These technologies enable predictive maintenance, autonomous quality control, real-time decision-making, flexible production, and resource optimisation while ensuring worker well-being and environmental sustainability. However, challenges related to interoperability, cybersecurity, workforce readiness, digital ethics, and implementation costs continue to influence Industry 5.0 adoption.
This study presents a comprehensive analysis of Industry 5.0 and intelligent manufacturing through a multidisciplinary framework for smart production systems. A qualitative analytical research methodology based on secondary data is employed to investigate intelligent manufacturing architectures, AI-enabled production planning, Digital Twin integration, industrial automation, human–robot collaboration, predictive analytics, and sustainable manufacturing strategies. The research evaluates how advanced digital technologies improve productivity, product quality, operational resilience, worker safety, energy efficiency, and evidence-based industrial decision-making.
The findings indicate that Industry 5.0 significantly enhances manufacturing flexibility, production efficiency, predictive maintenance, supply chain visibility, intelligent quality assurance, and sustainable resource utilisation. Human–AI collaboration supported by collaborative robots and explainable AI enables safer workplaces and more informed operational decisions. Furthermore, integrating Digital Twins, IoT, blockchain, cloud computing, and edge intelligence creates transparent, secure, and adaptive production ecosystems capable of responding to rapidly changing market demands.
Despite these opportunities, challenges remain regarding cybersecurity, system interoperability, workforce reskilling, ethical AI deployment, infrastructure investment, regulatory compliance, and standardisation. Future research should investigate explainable manufacturing AI, federated industrial learning, green manufacturing intelligence, quantum optimisation, and autonomous self-learning production systems.
The study concludes that Industry 5.0 provides a transformative multidisciplinary framework for developing intelligent, resilient, human-centred, and sustainable smart production systems capable of supporting future industrial competitiveness and global sustainable development.
Keywords Industry 5.0, Intelligent Manufacturing, Smart Production Systems, Artificial Intelligence, Digital Twin, Industrial Internet of Things, Human–Robot Collaboration, Sustainable Manufacturing, Smart Factory, Cyber-Physical Systems.
Field Engineering
Published In Volume 2, Issue 1, January-February 2020
Published On 2020-01-20
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