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Optimizing Supply Chain Routing and Inventory

Published on:

2 November 2023

Primary Category:

Machine Learning

Paper Authors:

MD Shafikul Islam,

Azmine Toushik Wasi

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Key Details

Proposes decision-focused learning to solve inventory routing problems

Integrates prediction and optimization in one end-to-end model

Connects ML models directly to decision quality

Can ensure optimal inventory levels and delivery routes

Leads to more resilient supply chain strategies

AI generated summary

Optimizing Supply Chain Routing and Inventory

This paper proposes a new decision-focused learning approach to optimally solve inventory routing problems in supply chains. Rather than predicting demand then optimizing routes separately, it integrates prediction and optimization together. This end-to-end approach connects machine learning models directly to decision quality, leading to more robust supply chain strategies.

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