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How machine learning will transform supply chain management: It does a better job of using data and forecasts to make decisions.

By: Agrawal, Narendra et al.
Material type: materialTypeLabelBookPublisher: Harvard Business Review Description: 102(2), Mar-Apr, 2024: p.129-137. In: Harvard Business ReviewSummary: Businesses need better planning to make their supply chains more agile and resilient. After explaining the shortcomings of traditional planning systems, the authors describe their new approach, optimal machine learning (OML), which has proved effective in a range of industries. A central feature is its decision-support engine that can process a vast amount of historical and current supply-and-demand data, take into account a company’s priorities, and rapidly produce recommendations for ideal production quantities, shipping arrangements, and so on. The authors explain the underpinnings of OML and provide concrete examples of how two large companies implemented it and improved their supply chains’ performance.- Reproduced https://hbr.org/2024/03/how-machine-learning-will-transform-supply-chain-management
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Articles Articles Indian Institute of Public Administration
102(2), Mar-Apr, 2024: p.129-137 Available AR131458

Businesses need better planning to make their supply chains more agile and resilient. After explaining the shortcomings of traditional planning systems, the authors describe their new approach, optimal machine learning (OML), which has proved effective in a range of industries. A central feature is its decision-support engine that can process a vast amount of historical and current supply-and-demand data, take into account a company’s priorities, and rapidly produce recommendations for ideal production quantities, shipping arrangements, and so on. The authors explain the underpinnings of OML and provide concrete examples of how two large companies implemented it and improved their supply chains’ performance.- Reproduced

https://hbr.org/2024/03/how-machine-learning-will-transform-supply-chain-management

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