Adopting Lessons Learned from Global Advanced Manufacturing Practices
DOI:
https://doi.org/10.54536/ajsts.v4i1.4841Keywords:
Artificial Intelligence, Computer Security, Cyber Security, Data Science, Internet of Things, TechnologyAbstract
Modern manufacturing experiences revolutionary changes through the integration of the Internet of Things, Artificial Intelligence, and large data analytics with additive manufacturing, thus achieving enhanced productivity and automated systems. The research evaluates both benefits and challenges of modern manufacturing with additional focus on productivity improvements and data-based choices. Major implementation costs together with cybersecurity threats and system interoperability problems and required employee readjustment represent major implementation challenges. Solving these problems demands purposeful funding and unified policy structures and must achieve alignment between industrial operators and academic institutions. New technological advances in quantum computing, 5G and edge computing systems enable the chance for considerable advancement. Excellent integration requires standardized cybersecurity methods that show resistance to attacks. Future investigations should concentrate on financial feasibility and staff expertise development and eco-friendly manufacturing approaches. Cooperation between policymakers and industries is essential for the formulation of regulatory guidelines. This research highlights the necessity of reconciling innovation with organizational preparedness, notwithstanding the restrictions of data availability and advancing technology. Effective adoption of Industry 4.0 can propel sustainable industrial transformation and enhance global competitiveness.
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