AI in Manufacturing

Manufacturing is no longer only about creating physical products. Changing consumer demand, the nature of products, the economics of production and the supply chain are also key.

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Manufacturing Performance Drivers

Here are our top-6 performance drivers for applying AI & analytics in Manufacturing.

Predictive Maintenance

Manufacturers can avoid long outage periods of expensive machinery by predicting failures and adjusting maintenance cycles accordingly. They will benefit from an increase uptime of their valuable capex.

Demand Forecasting

Manufacturers can adjust production volume for each product to the actual demand by forecasting it and then adjusting the production planning accordingly. Also, stock levels for supply and products can be reduced in order to reduce storage costs.

Quality Assurance

Manufacturers can identify reasons for production failures by analyzing sensor data from the involved equipment. They can identify which states of the machines were responsible for the production failures in order to take actions and avoid the manufacturing errors going forward.

Yield Optimization

Manufacturers can identify drivers for high yield in very complex production processes. They can find the optimal set of control levers for reaching the optimal output of the production process.

Energy Efficiency

Manufacturers can reduce energy waste by identifying steps in the production process with unnecessarily high energy usage. They can adjust the whole process to minimize energy costs (or to maximize overall profitability).

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The Manufacturing Challenge

As technology continues to advance exponentially, in the fourth industrial revolution, digital analytics enables a new level of operational productivity. Ubiquitous connectivity throughout supply chains, pervasive sensors and data analytics will drive efficacy and new business models in the manufacturing sector.

These shifts will generate many distinct opportunities: - Higher efficiency - Enhanced effectiveness - Increased predictability - Deeper engagement To compete, manufacturers will have to embrace the opportunities that their data opens to them to increase productivity.

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