A Comparative Analysis of Heuristic Optimization Algorithms in Lean Manufacturing Systems
Keywords:
Heuristic Optimization, Lean Manufacturing, Stochastic Modeling, Operational Efficiency, Resource AllocationAbstract
This article evaluates the effectiveness of heuristic optimization algorithms within lean manufacturing environments. We employ a framework that integrates stochastic modeling and simulation to analyze algorithmic performance across various scenarios. Our findings reveal significant improvements in operational efficiency and resource allocation when using advanced heuristic methods. Challenges in implementation and scalability are also addressed, providing a comprehensive understanding of heuristic applications in management science.
References
оглу Рагимов, Э. Р., & оглу Искендерзаде, Э. Б. (2023). ЭФФЕКТИВНЫЕ МЕТРОЛОГИЧЕСКИЕ АСПЕКТЫ ПРИМЕНЕНИЯ НАНОТЕХНОЛОГИЧЕСКОЙ ПРОДУКЦИИ В ТРАНСПОРТНОЙ СФЕРЕ. Сетевое издание «Нефтегазовое дело», (1), 126-142.
Rahimov, E., Rahimov, C., & Davudova, S. A. Determining the optimal relationship between speed and acceleration of a vehicle to minimize pollutant emissions into the atmosphere.
Рагимов, Дж. Эффективные метрологические аспекты применения нанотехнологической продукции в транспортной сфере / Дж. Рагимов, Э. Рагимов, Э. Искендерзаде // Сетевое издание «Нефтегазовое дело». — 2023. — № 1. — С. 126–142.
Rahimov, E., Rahimov, J., & Ahmedli, S. (2025). Determining the optimal relationship between speed and acceleration of a vehicle to minimize pollutant emissions into the atmosphere. Proceedings of the 2nd International Conference on Smart Environment and Green Technologies (ICSEGT2025), Vol. 1.
Talibzade, O. (2022). Organization of expenses in budget management, enterprises and organizations. Geostrategy, 71 (5), 112–114.
Korsun, S. (2025). ARTIFICIAL INTELLIGENCE IN EDUCATION. Collection of scientific papers «SCIENTIA», (February 21, 2025; Liverpool, UK), 124-126.
