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Demand-Driven Multi-Level Inventory Optimization in Automotive Manufacturing Using EDI Signals and Bill-of-Materials Structure

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  • Ruan, Junzhe

Abstract

This study investigates a demand-driven multi-level inventory optimization framework for automotive manufacturing, leveraging Electronic Demand Index (EDI) signals and Bill-of-Materials (BOM) structures. The research focuses on addressing inventory challenges amidst fluctuating OEM production cycles, minimizing stagnant inventory costs, and optimizing raw material replenishment strategies. By analyzing historical EDI data and lifecycle trends, the study proposes a systematic approach to calculate safety stock levels and improve inventory management efficiency.

Suggested Citation

  • Ruan, Junzhe, 2026. "Demand-Driven Multi-Level Inventory Optimization in Automotive Manufacturing Using EDI Signals and Bill-of-Materials Structure," European Journal of Engineering and Technologies, Pinnacle Academic Press, vol. 2(2), pages 78-89.
    • Handle: RePEc:dba:ejetaa:v:2:y:2026:i:2:p:78-89
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    File URL: https://pinnaclepubs.com/index.php/EJET/article/view/786/752
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