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About Angie Nguyen, Samir Lamouri, Robert Pellerin, Simon Tamayo and Béranger Lekens
This document summarizes a literature review on data analytics in pharmaceutical supply chains. It finds that while machine learning has shown promise in addressing issues like drug shortages and inventory optimization, various data resources have not been fully leveraged. Unstructured data and combining different data types remain challenges. New issues from green practices and medicine distribution during crises also require further applications of advanced analytics. The review aims to assess the current state of the field, provide examples for reference, and identify gaps to inform future research perspectives.
Detailed Information
| Author: | ['Nola Ayunda'] |
|---|---|
| Publication Year: | 2022 |
| Pages: | 47 |
| Language: | English |
| Format: | |
| Price: | FREE |
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