A Study on the Optimization of Company K’s Finished Goods Warehouse Layout Based on SLP
DOI:
https://doi.org/10.62051/ijgem.v10n3.17Keywords:
SLP, Finished goods warehouse, Layout optimization, SimulationAbstract
With intensifying market competition and rising logistics costs, warehouse layout optimization has become a critical factor for manufacturing enterprises to improve operational efficiency. This paper takes the finished goods warehouse of Company K, a garment manufacturer, as its research subject. Addressing issues such as low operational efficiency, circuitous handling routes, and insufficient equipment utilization, the study proposes a warehouse layout optimization method that integrates System Layout Planning (SLP) with Flexsim simulation. The study first analyzed the operational processes and current status of functional zones in the finished goods warehouse through on-site research, clarifying the interrelationships between logistics and non-logistics factors. Second, the SLP method was employed to quantitatively assess the logistics intensity and non-logistics associations between functional zones, establishing a comprehensive relationship analysis model to generate two optimized layout schemes. Finally, a three-dimensional dynamic model was constructed using the Flexsim simulation platform to compare and validate the original and optimized layouts across four dimensions: handling distance, logistics throughput, equipment utilization, and operation cycle. Simulation results indicate that the optimized Scheme 2 demonstrates significant improvements over the original scheme across key metrics: total handling distance was reduced by 25.2%, outbound volume per unit time increased by 20.3%, forklift utilization decreased by 21.8%, and overall operational efficiency improved by 21.8%. This study not only provides Company K with a practical warehouse optimization solution but also offers a methodological reference for warehouse layout optimization in similar manufacturing enterprises, validating the practical value of combining SLP with discrete-event simulation in the field of facility planning.
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