AI-Powered Solutions for Waste Reduction in Manufacturing

Sakthivel Velusamy, Sangwoo Jeon, Hemawathi Somasundaram, S. Vinoth Kumar, Mohamed Yasin

Abstract


AI-powered solutions are instrumental in driving waste reduction in manufacturing processes by optimizing resource utilization and minimizing inefficiencies. This paper explores the methodologies and technologies that enable AI applications for waste reduction, focusing on applications in process optimization, predictive analytics, and material management. Through case studies, the paper highlights the benefits of implementing AI-driven solutions, including reduced material waste, improved sustainability, and enhanced operational efficiency. Additionally, challenges related to data quality, technology integration, and organizational culture are discussed.

Keywords


AI solutions, waste reduction, manufacturing efficiency, sustainability.

References


Bang, Sofie, and Bjørn Sørskot Andersen. Utilising Artificial Intelligence in Construction Site Waste Reduction. Sciendo, 2022.

Hassan, Mohammad, et al. ‘The Role of Artificial Intelligence in Waste Reduction in the Beverage Industry: A Comprehensive Strategy for Enhanced Sustainability and Efficiency’. AI, IoT and the Fourth Industrial Revolution Review, vol. 13, no. 11, 2023, pp. 1–8.

Huang, Y. L., and L. T. Fan. ‘Artificial Intelligence for Waste Minimization in the Process Industry’. Computers in Industry, vol. 22, no. 2, Elsevier, 1993, pp. 117–128.

Lo, Wei, et al. ‘Increased Productivity and Reduced Waste with Robotic Process Automation and Generative AI-Powered IoE Services’. Journal of Web Engineering, vol. 23, no. 1, River Publishers, 2024, pp. 53–87.

Miele, Ludovica, et al. ‘Integration of Artificial Intelligence in Manufacturing Companies for Achieving Zero Waste--A Systematic Literature Review’. Working Conference on Virtual Enterprises, Springer, 2024, pp. 212–227.

Pelser, Hendrik M. ‘The Role of AI in Sustainable Operations and Maintenance by Reducing Waste’. P-ESEM, p. 353.

Shahin, Mohammad, F. Frank Chen, Ali Hosseinzadeh, et al. ‘Waste Reduction via Image Classification Algorithms: Beyond the Human Eye with an AI-Based Vision’. International Journal of Production Research, vol. 62, no. 9, Taylor & Francis, 2024, pp. 3193–3211.

Shahin, Mohammad, F. Frank Chen, Hamed Bouzary, et al. ‘Deploying Convolutional Neural Network to Reduce Waste in Production System’. Manufacturing Letters, vol. 35, Elsevier, 2023, pp. 1187–1195.


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