{"id":4455,"date":"2022-07-11T08:29:34","date_gmt":"2022-07-11T08:29:34","guid":{"rendered":"https:\/\/www.coala-h2020.eu\/?page_id=4455"},"modified":"2022-10-11T12:16:55","modified_gmt":"2022-10-11T12:16:55","slug":"prescriptive-analytics","status":"publish","type":"page","link":"https:\/\/www.coala-h2020.eu\/index.php\/prescriptive-analytics\/","title":{"rendered":"Prescriptive Analytics"},"content":{"rendered":"\n
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Prescriptive Quality Analytics Service<\/mark><\/h4>\n\n\n\n

Prescriptive Analytics for Quality Optimisation<\/mark><\/h1>\n\n\n\n

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The PREVENTION (Prescriptive Analytics for quality optimization) component addresses the prescriptive quality analytics needs of COALA. <\/p>\n\n\n\n

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PREVENTION aims at building predictive quality models and prescribing mitigating actions to optimize quality-related manufacturing performance indicators. To achieve its aims, PREVENTION utilizes 3 types of analytics: descriptive, predictive, and prescriptive analytics. <\/p>\n\n\n\n

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PREVENTION aims at covering the whole lifecycle of data analytics in order to derive insights on quality while enabling the development of several independent analytics processes with different scopes (descriptive, predictive, prescriptive) from multiple data sources and algorithms. <\/p>\n<\/div><\/div>\n<\/div><\/div><\/section>\n\n\n\n

Main features of COALA Prescriptive Quality Analytics Service:<\/p>\n\n\n\n

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Exploratory Analytics<\/strong><\/h5>\n\n\n\n

Statistics for the quality of the production as a whole and for its individual components, i.e. products and defects<\/p>\n<\/div><\/div>\n\n\n\n

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Risk Assessment<\/strong><\/h5>\n\n\n\n

Evaluation of the criticality of the defect with respect to the products and parts affected<\/p>\n<\/div><\/div>\n\n\n\n

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Predictive Quality<\/strong><\/h5>\n\n\n\n

Predictions about product defects and defects in the upcoming days<\/p>\n<\/div><\/div>\n\n\n\n

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Quality Recommendations<\/strong><\/h5>\n\n\n\n

Recommendations for actions in quality control<\/p>\n<\/div><\/div>\n<\/div><\/div><\/section>\n\n\n\n

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DIA Core system design focuses on five<\/strong> elements:<\/p>\n\n\n\n

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Subjective satisfaction<\/em><\/h4>\n\n\n\n

users find the system pleasant and appropriate<\/p>\n<\/div><\/div>\n\n\n\n

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Ease of appropriation<\/em><\/h4>\n\n\n\n

users can remember easily how to use the system<\/p>\n<\/div><\/div>\n\n\n\n

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Reliability<\/em><\/h4>\n\n\n\n

users cannot make too many or too severe errors and can recover easily<\/p>\n<\/div><\/div>\n\n\n\n

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Ease of learning<\/em><\/h4>\n\n\n\n

new users can achieve their goals easily <\/p>\n<\/div><\/div>\n\n\n\n

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Efficiency<\/em><\/h4>\n\n\n\n

users can perform tasks quickly through an easy process <\/p>\n<\/div><\/div>\n<\/div><\/div><\/section>\n<\/div><\/section>\n\n\n\n

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