Application of the Builder Optimization Algorithm for Sustainable Lot Size Optimization in Supply Chain Management: A Comprehensive Analysis and Comparison with Metaheuristic Approaches

Sustainable Lot Size Optimization (SLSO) is a crucial challenge in Supply Chain Management (SCM) that aims to strike a balance between minimizing costs and achieving environmental and social objectives.It focuses on ensuring efficient production and inventory management while reducing the environmental footprint and enhancing social responsibility.Metaheuristic algorithms have proven to be highly effective in solving SLSO problems, as they can explore complex solution spaces to find near-optimal solutions, outperforming traditional methods in terms of flexibility and scalability.In this paper, we investigate the application of the recently published Builder Optimization Algorithm (BOA) to address SLSO challenges.The BOA is evaluated across 10 different SLSO scenarios, and its performance is compared with that of twelve well-established metaheuristic algorithms.The results indicate that BOA performs exceptionally well, consistently providing high-quality solutions for SLSO problems.Moreover, simulation results demonstrate that BOA significantly outperforms its competitors, offering superior optimization results across all test cases.These findings highlight the potential of BOA as a robust and reliable optimization tool for tackling complex supply chain optimization problems, particularly those with sustainability objectives.