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Crucial MRP Metrics Every Supply Chain Pro Should Know

SCMDOJO

This blog explains The Key MRP Metrics in Supply Chain whcih every supply chain professional in Manufacturing or Distribution Businesses. This is a fundamental principle of supply chain management, it constitutes a juggling act that is at the heart of any well-orchestrated manufacturing process.

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Using Analytics To Address Supply Chain Challenges

Silvon Software

Supply chain challenges stemming from the pandemic and other global events continue to plague manufacturing and distribution companies. To address these issues, manufacturers and distributors are focusing more on the use of data analytics to help them make more strategic decisions related to supply chain performance.

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Supply Chain Analytics: What It Is and Why It Matters

QAD

What is Supply Chain Analytics and Why is it Important? Supply chain analytics allows businesses to examine their operations and view data in real-time. With supply chain management analytics software, companies can improve decision making, take a proactive approach and quickly mitigate issues before they explode into bigger problems.

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No Time Like the Present

Supply Chain Shaman

On this tour, I heard Jeff Ma, a former member of the MIT blackjack team, speak on the use of analytics to make better decisions in “beating the house.” The outcomes are less predictable or clear. The larger the organization, the more tension with conflicting functional metrics making decisions more difficult. Closed Loop.

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A World in Flux: Global Supply Chain Predictions for 2021

ToolsGroup

So your firm recently released a report of 2021 predictions and there’s a lot of great information in there. And because of that, when we- and we do predictions, we’ve done this since our inception in 2008 and we’ve had a traditional format for how we do our predictions. Bob Ferrari: Thank you, Mary.

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Unlocking Efficiency with AI in Business Process Automation

Elementum

This integration allows for the automation of straightforward tasks, freeing up resources for more complex processes that require AI’s predictive capabilities and decision-making. Predictive analytics forecast potential disruptions, allowing for proactive measures to minimize delays and enhance customer satisfaction.

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Demand Forecasting in the new normal

SYSPRO Smarter ERP

Manufactures are continuously faced with the challenge of forecasting how much (raw material) to purchase and how much (finished goods) to produce. To manage this delicate balance of demand and supply, manufacturers often use statistical forecasting techniques to predict future demand by looking at historical sales data.