Artificial Intelligence in Advanced Manufacturing: Opportunities, Applications, and Challenges in the Context of Bangladesh
Arpon Roy1*
Applied IT & Engineering 2(1) 1-8 https://doi.org/10.25163/engineering.2110223
Submitted: 09 January 2024 Revised: 06 March 2024 Published: 10 March 2024
Abstract
Background: AI has the possible to convert productivity, quality declaration, and operational effectiveness in several major industries, including garments, leather, jute, and small and medium enterprises (SMEs). While the world is rapidly advancing toward AI-driven manufacturing, the pace of industrial implementation AI technology in Bangladesh is still very slow, sporadic, and at different stages of maturity. Methods: This study implements a mixed-methods design that includes a structured review on the global AI applications in manufacturing and their relevance and applicability to Bangladesh. The secondary data included academic documents, international case studies, and government and industry report as well as published literature. Taking into consideration the real-world applicability, the study analyzes the advances AI algorithms have made towards autonomous execution in some selected industries in Bangladesh. Results: In Bangladesh, AI is only embraced at some selected large-scale enterprises where a baseline digital infrastructure has already been put in place, or SMEs are severely constrained by low levels of technological resources, gaps in workforce skills, and lack of an integral framework. Among these, some of the most promising systems are defect recognition by machine vision, predictive maintenance with machine learning algorithms, and quality control with AI. Conclusion: AI promises limitless possibility, and with applied effort, new systems can be implemented into the industry. Without development of policies that facilitate supporting logistics and scalable pilot programs, investment in and infrastructure goes to waste.
Keywords: Artificial Intelligence, Smart Manufacturing, Bangladesh, Industry 4.0, Machine Learning, Garment Industry.
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