AI-Powered Evaluation of Lean Manufacturing Tools to Increase Cement Plant Productivity and Energy Efficiency

Authors

  • R Deepak Pandey Research Scholar, Mechanical Engineering Department, AKS University, Satna, 485001, MP, India. Author
  • Shrihar Pandey Guide, Mechanical Engineering Department, AKS University, Satna, 485001, MP, India. Author
  • Mihir Kumar Pandey Research Scholar, Mechanical Engineering Department, AKS University, Satna, 485001, MP, India. Author

DOI:

https://doi.org/10.47392/IRJAEH.2026.0334

Keywords:

TPM, 5S, Kaizen, Genetic Algorithm, ANN, RSM, Optimization.

Abstract

Meeting client demands is becoming a major challenge for organizations. Lean production is a rigorous methodology and mindset that aims to continually detect and eliminate waste across the entire business in order to provide the greatest value to consumers. The goal of lean manufacturing is to maximize customer value while limiting resource consumption, which reduces overall manufacturing costs. This is accomplished by efficiently managing personnel, equipment, and supplies to ensure effective utilization while preventing needless expenses. This study focuses on a cement factory where several lean manufacturing techniques have been applied to improve two important production metrics: energy consumption and production output. The industrial indicators have been subjected to both conventional and AI modeling. Evolutionary algorithms have been used to improve a system.

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Published

2026-05-30

How to Cite

AI-Powered Evaluation of Lean Manufacturing Tools to Increase Cement Plant Productivity and Energy Efficiency. (2026). International Research Journal on Advanced Engineering Hub (IRJAEH), 4(04), 2496-2504. https://doi.org/10.47392/IRJAEH.2026.0334

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