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@article{194433,
        author = {DEEPAK PANDEY and Shrihar Pandey},
        title = {AI-Powered Assessment of Lean Manufacturing Instruments to Boost Production and Energy Efficiency in a Cement Plant},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {10},
        pages = {4643-4651},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=194433},
        abstract = {Organizations currently encounter significant difficulties in meeting customer demands. Lean production represents a philosophy and a methodical approach focused on providing the highest value to customers by consistently identifying and removing waste throughout the entire organization. Lean manufacturing focuses on maximizing customer value while minimizing resource use, which subsequently lowers total manufacturing expenses. This is done by effectively coordinating people, machines, and materials to guarantee efficient use while avoiding unnecessary costs.
This research focuses on a cement plant where different lean manufacturing methods have been implemented to enhance two key production metrics: production output and energy consumption. Both traditional and AI modeling have been applied to the industrial indicators. A system has been improved through the use of evolutionary algorithms.},
        keywords = {TPM, 5S, Kaizen, Genetic Algorithm, ANN, RSM, Optimization},
        month = {March},
        }