Optimization of Pre-Stuffing: Storage Models and Load Sequencing to Accelerate Container Loading in Distribution Centers
Optimization of Pre-Stuffing: Storage Models and Load Sequencing to Accelerate Container Loading in Distribution Centers
DOI:
https://doi.org/10.51473/rcmos.v1i8.2021.1393Keywords:
Pre-stuffing; Storage; Load sequencing; Distribution centers; Logistics.Abstract
Efficiency in the container loading process represents one of the greatest challenges in global supply chain management, especially in large-scale distribution centers (DCs). Pre-stuffing, the practice of organizing cargo in specific areas prior to container loading, emerges as an essential strategy to reduce costs, minimize errors, and accelerate operations. This article analyzes storage models and load sequencing approaches that contribute to the optimization of pre-stuffing, drawing on studies by Ballou (2006), Bowersox and Closs (2014), Moura (2015), and reports from international organizations such as UNCTAD (2021). The research shows that the use of routing algorithms, warehouse management systems (WMS), and computer simulations enables the alignment of operational efficiency and business competitiveness. Through an analytical and applied approach, it is demonstrated that optimizing pre-stuffing not only reduces container loading time but also strengthens logistics resilience in response to the demands of international trade.
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References
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Copyright (c) 2021 Ivan de Matos (Autor)
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