EOQ 优化彻底改变库存管理,在全球范围内节约成本

Devira Kusuma Wardhani, Tedjo Sukmono
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摘要

高效的库存管理对企业来说至关重要,既能最大限度地降低成本,又能确保充足的供应满足需求。PT Samawa Tirta Alam 是一家瓶装甜饮用水公司,面临着严重的库存管理问题,尤其是精制糖原料。高昂的运输成本和波动的需求导致库存积累过多,存储成本增加,因此必须采取优化策略。本研究采用经济订货量(EOQ)方法来应对这些挑战。采用混合方法,通过观察和访谈收集定性数据,同时利用历史数据进行定量分析,计算出最佳订货量、频率、安全库存水平和再订货点。结果表明,通过确定最佳订货量,将订货频率从每年 12 次减少到 2 次,并最大限度地降低了安全库存水平,节省了大量成本。研究结果证明了 EOQ 方法在提高类似公司原材料库存管理的成本效益和运营绩效方面的有效性。亮点1.成本效益:EOQ 方法可有效降低库存总成本:3.战略洞察力:综合方法为库存管理挑战提供了切实可行的解决方案。关键词库存管理、经济订货量(EOQ)、成本优化、原材料、运输成本
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EOQ Optimization Revolutionizes Inventory Management, Delivering Cost Savings Globally
Efficient inventory management is crucial for companies to minimize costs while ensuring adequate supply to meet demand. PT Samawa Tirta Alam, a bottled sweet drinking water company, faces significant inventory management issues, notably with refined sugar raw materials. High transportation costs and fluctuating demand contribute to excessive inventory accumulation and increased storage costs, necessitating an optimization strategy. This study implements the Economic Order Quantity (EOQ) method to address these challenges. Through a mixed-method approach, qualitative data were gathered via observations and interviews, while quantitative analysis utilized historical data to calculate optimal order quantities, frequencies, safety stock levels, and reorder points. Results demonstrate substantial cost savings, with optimal order quantities determined, reducing order frequencies from 12 to 2 times per year, and minimizing safety stock levels. The findings underscore the effectiveness of the EOQ method in enhancing cost-effectiveness and operational performance in raw material inventory management for similar companies. Highlights: 1. Cost Efficiency: EOQ method reduces total inventory costs effectively.2. Operational Precision: Minimizing safety stock enhances operational efficiency.3. Strategic Insight: Integrated approach provides practical solutions for inventory management challenges. Keywords: Inventory Management, Economic Order Quantity (EOQ), Cost Optimization, Raw Materials, Transportation Costs
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