Industry 4.0

Industry 4.0 is a term applied to a group of rapid transformations in the engineering sector. It is connected machines generating significant amounts of data that can be analyzed to improve operations. We are experts in the use of advanced analytics for engineering.

Artelnics – Qsutra offers a wide variety of solutions addressed to meet the needs of industry 4.0.

Industry 4.0 Solutions

Output Prediction

Prototype Design, Supply Assurance & Risk Modelling.

Output prediction has a strategic nature since it provides business with valuable information for making decisions. Collecting and analysing data can be used to make forecasts, reducing operational costs, and optimising the management of resources. Artelnics – Qsutra offers you the most advanced analytics techniques to go one step ahead and make useful predictions. Adopt this technique and be ready to be more productive.

Performance Optimisation

Reduce Consumption, Increase Comfort & Abate Noise.

Performance Optimisation is necessary to ensure that businesses remain competitive and provide cutting-edge solutions to everyday social problems. To achieve these objectives, companies can use modern data engineering to improve their standards. Through these innovative solutions, Artelnics – Qsutra optimises systems for higher efficiency and lower environmental impact.

Predictive Maintenance

Higher System Reliability, Minimise Disruptions & Cost Savings.

Predictive Maintenance reduces the costs of engineering companies by minimising the potential risks of their technical equipment. The challenge is to determine the condition of in-service equipment to predict when maintenance should be performed and to prevent unexpected failures. Artelnics – Qsutra is the best candidate for this kind of applications, due to its vast experience and disruptive technology.

Quality Improvement

Fit Quality Standards, Increase Revenue & Reduce Failures.

Quality Improvement in engineering is closely linked to compliance with legal and business requirements. It analyses the most important factors defining a product to act over them most efficiently. Indeed, quality deficiencies mean less competitiveness in the global market place. As far as quality attributes are concerned, advanced analytics techniques play an essential role here. The quality improvement allows improving products to suit market requirements.

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