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New Manuscript Details Data-Driven Supply Chain Analytics

By PulseAugur Editorial · [1 sources] ·

A new manuscript titled "Supply Chain Analytics: A Data-Driven Approach" has been published on arXiv, offering a comprehensive mathematical treatment of supply chain analytics. The paper integrates statistical learning with decision-making frameworks, covering topics such as demand forecasting, inventory control, and network fulfillment. It also explores advanced techniques like distributionally robust optimization and column generation for vehicle routing, aiming to provide tools for designing resilient, data-driven automated systems. AI

RANK_REASON The item is a newly submitted academic paper on arXiv. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv stat.ML →

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

New Manuscript Details Data-Driven Supply Chain Analytics

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The item is a newly submitted academic paper on arXiv. [lever_c_demoted from research: ic=1 ai=0.7]
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COVERAGE [1]

  1. arXiv stat.ML TIER_1 English(EN) · Elioth Sanabria ·

    Supply Chain Analytics: A Data-Driven Approach

    arXiv:2609.10563v1 Announce Type: cross Abstract: Modern supply chain networks increasingly rely on real-time data to navigate structural uncertainties, market volatility, and operational disruptions. This manuscript bridges the gap between statistical data-driven learning and ro…

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