AI for Manufacturing

Challenges

Manufacturers face mounting pressure to decrease costs while continuing to deliver high-quality products and services. 

Opportunities

The manufacturing sector is a pacesetter in the implementation of AI. AI-powered data analytics are bringing companies to the next level of operational excellence. By enabling automated and optimized planning, predictive maintenance, cutting unplanned downtime, enhancing efficiency and product quality, and increasing employee safety. 

AI is changing the way that products are designed. AI algorithms can now explore every aspect and configuration of a vast number of designs, looking at material specifications, budgetary limitations, time constraints and the available production methods. The various possibilities can be tested using Machine Learning – and retested until the optimal design is attained.

At a glance use cases below! 

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What can AI do for Manufacturing?

  • Optimization of production planning to deliver orders on time in the most resource-efficient way
  • Detection of product malfunctions to minimize waste
  • Supply chain optimization to minimize inventory

Results

Read this case to discover how AI is helping a manufacturer of industrial equipment streamline its operations.