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New model optimizes cross-border fulfillment center selection

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a new optimization framework called the Cross-Border Fulfillment Center Selection Model. This model integrates forecasting, doubly robust estimation, and linear programming to identify the most effective source fulfillment centers. It aims to minimize delivery time and cost while maximizing profit and shipped units for international shipping arcs. The model was tested on three large-scale international shipping corridors using 12 months of data, demonstrating significant reductions in delivery time and logistics costs compared to human-defined policies. AI

RANK_REASON The cluster contains a research paper detailing a new optimization model. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New model optimizes cross-border fulfillment center selection

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The cluster contains a research paper detailing a new optimization model. [lever_c_demoted from research: ic=1 ai=0.7]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Kriti Mahajan, Patrick Bloebaum ·

    Cross-Border Fulfillment Center Selection via Doubly Robust Estimation and Linear Programming

    arXiv:2611.14174v1 Announce Type: new Abstract: We introduce the cross-border (XB) fulfillment center (FC) Selection Model: a multi-stage optimization framework combining forecasting, doubly robust estimation, and linear programming to select optimal source FCs. For each source-d…

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