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Monte Carlo simulation helps companies understand process variability and make informed decisions. It's beneficial for quality control in manufacturing.

MLADÁ BOLESLAV, Czech Republic—Škoda Auto has opened new 22 million euro ($24 million) Simulation Center at its assembly plant here. 

Advancements in AI and machine learning offer hope to revolutionize industrial automation and tackle modern manufacturing challenges.

Our company often gets asked how to choose quality inspection software and how to maximize its potential. Quality is crucial in manufacturing, and the right inspection software can be a game-changer. Our experts shed light on the benefits of choosing the right fit for your organization and maximizing its utility.

Manufacturers are prioritizing low-code AI tools to simplify application development, enabling non-experts to create and customize AI workflows.

Process mapping is a method to visualize and understand manufacturing processes, similar to a flowchart. It helps identify inefficiencies and delays in the workflow. For example, it can pinpoint the source of delays in an assembly line.

Real-world problems often have multiple causes, so it's beneficial to extend your root cause analysis by considering the problem from various perspectives.

The most frustrating moment in problem-solving is fixing an error only to see it reappear the next day. Until the root cause is identified and addressed, the issue will persist.

AI, despite its hype, often causes delays in manufacturers' automation strategies due to confusion and fear. Fundamentally, AI complements machine vision, which uses handcrafted algorithms needing new formulas and trial-and-error development for each product type or feature.

New calibration software trends simplify processes, enhance traceability, ensure compliance, and drive data-driven accuracy in response to increasing demands for precision.