利用增材制造优化库存：提高零售供应链成本和绩效的双源模型

Q3 Engineering

IFAC-PapersOnLine Pub Date : 2025-01-01 DOI:10.1016/j.ifacol.2025.09.047

Banu Yetkin Ekren , Sara Perotti , Matteo Finelli

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引用次数: 0

摘要

本研究探讨了将增材制造（AM），特别是3D打印（3DP）整合到零售供应链中，以优化库存成本，同时保持高服务水平（CSL≥95%）。开发了一种双源库存模型，平衡了传统供应商和内部3d打印生产之间的需求。该模型采用Microsoft Excel求解器求解，将经济订货量（EOQ）、经济生产数量（EPQ）和再订货点结合起来，使总成本最小化。实验结果表明，混合采购与3d打印降低了库存成本，特别是在需求较高的情况下，而产能限制限制了完全采用。研究结果表明，零售商应该投资于AM扩张，以最大限度地提高成本效率。本研究为混合库存策略提供了一个数据驱动的框架，并强调了未来在需求不确定性、排队效应和高级优化技术方面的研究方向。

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Leveraging Additive Manufacturing for Inventory Optimization: A Dual-Sourcing Model for Cost and Performance Enhancement in Retail Supply Chains

This study examines the integration of additive manufacturing (AM), specifically 3D printing (3DP), into retail supply chains to optimize inventory costs while maintaining high service levels (CSL ≥ 95%). A dual-sourcing inventory model is developed, balancing demand between traditional suppliers and in-house 3DP production. The model, solved using Microsoft Excel Solver, incorporates economic order quantity (EOQ), economic production quantity (EPQ), and reorder points to minimize total costs. Experimental results show that hybrid sourcing with 3DP reduces inventory costs, particularly at higher demand levels, while capacity constraints limit full adoption. Findings suggest that retailers should invest in AM expansion to maximize cost efficiency. This study provides a data-driven framework for hybrid inventory strategies and highlights future research directions in demand uncertainty, queueing effects, and advanced optimization techniques.

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来源期刊

IFAC-PapersOnLine Engineering-Control and Systems Engineering

CiteScore

1.70

自引率

0.00%

发文量

1122

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