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About A Data Mining-Based Framework For Supply Chain Risk Management
This document summarizes a research paper that proposes a data mining-based framework for supply chain risk management. The framework aims to help organizations identify, assess, and mitigate supply chain risks by leveraging data mining techniques to analyze large and diverse risk-related data sources. The paper reviews relevant literature on business intelligence, data mining, and their applications in supply chain risk management. It then introduces the proposed framework and discusses its validation through a case study in the heavy machinery sector.
Detailed Information
| Author: | ['morteza'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 30 |
| Language: | English |
| Format: | |
| Price: | FREE |
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