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Quality Assurance

Quality assurance systems allow businesses to prevent defects throughout their processes of delivering goods or services to customers. Building such a system that collects data and identifies potential problems along a pipeline can provide enormous advantages. For example, in digital manufacturing, quality assurance across the assembly line is imperative. Identifying slowdowns and potential failures before they occur rather than after they are detected can help companies reduce costs for scrap and rework while improving productivity.

This solution shows how to predict failures using the example of manufacturing pipelines (assembly lines). This is done by leveraging test systems already in place and failure data, specifically looking at returns and functional failures at the end of assembly line. By combining these with domain knowledge and root cause analysis within a modular design that encapsulates main processing steps, we provide a generic advanced analytics solution that uses machine learning to predict failures before they happen. Early prediction of future failures allows for less expensive repairs or even discarding, which are usually more cost efficient than going through recall and warranty cost.

SikkerhedKvalitetskontrolsystemerne giver virksomhederne mulighed for at forebygge fejl i deres processer til levering af varer eller tjenesteydelser til kunderne. At opbygge et system, der indsamler data og identificerer eventuelle problemer langs en pipeline, kan give enorme fordele. Ved digital produktion er kvalitetskontrol på samlebåndet fx helt nødvendig. At kunne identificere forsinkelser og potentielle fejl, inden de opstår, og ikke når de opdages, kan hjælpe virksomhederne til at reducere omkostningerne og ændre processerne, samtidig med at produktiviteten forbedres.

Disclaimer

©2017 Microsoft Corporation. All rights reserved. This information is provided "as-is" and may change without notice. Microsoft makes no warranties, express or implied, with respect to the information provided here. Third party data was used to generate the Solution. You are responsible for respecting the rights of others, including procuring and complying with relevant licenses in order to create similar datasets.

SikkerhedKvalitetskontrolsystemerne giver virksomhederne mulighed for at forebygge fejl i deres processer til levering af varer eller tjenesteydelser til kunderne. At opbygge et system, der indsamler data og identificerer eventuelle problemer langs en pipeline, kan give enorme fordele. Ved digital produktion er kvalitetskontrol på samlebåndet fx helt nødvendig. At kunne identificere forsinkelser og potentielle fejl, inden de opstår, og ikke når de opdages, kan hjælpe virksomhederne til at reducere omkostningerne og ændre processerne, samtidig med at produktiviteten forbedres.

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