Industrial Analytics

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data collection

Product Development

Evaluate product tolerances with Monte Carlo Simulation

In the software and hardware development of white goods, the mechatronic components are subject to specific product tolerances. These occur due to the production tolerances. Example speed range, power fluctuation or temperature accuracy. These are usually visible in the data sheets or can be requested from the manufacturer. The resulting Read more…

By industrialanalytics, 6 years6 years ago
Product Development

Quality assurance with deep learning image recognition

Like unstructured texts, images also carry a wealth of information. Whenever complex visual inspection procedures are needed for manufacturing processes that are time consuming or costly to program with conventional image processing, deep learning is used. Deep learning learns and identifies, from sample data, structures and patterns. This knowledge is Read more…

By industrialanalytics, 6 years6 years ago
data collection

Too much or too little data

An important consideration in collecting data is what and how much data is collected. Companies have realized that collecting and analyzing the right data has a positive effect on product development efficiency and successful product placement.   However, when data is collected on each parameter or process, useful data is eventually Read more…

By industrialanalytics, 6 years6 years ago
Product Development

The benefits of Data-Driven Product Development

Using big and/or small data for proactive product development has many benefits and opportunities. One of these opportunities is to collect product data for the purpose of learning about product usage and for improving existing products. Additionally Firm’s can invent products with the consumer and provide increased consumer value by Read more…

By industrialanalytics, 7 years6 years ago
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