Text

Artificiell intelligens och intelligenta system

Human

Hållbar livsstil och hälsa ut ett folkhälsoperspektiv

Lärande och optimering

Medicinsk teknik

Modellbaserad konstruktion av inbäddade system

Produkt- och produktionsutveckling

Programvarutestlaboratorium

Robotik

Säkerhetskritisk teknik

Värdedriven innovation och framsyn

AUTOMAD: AUTOnomous Decision Making in Industry 4.0 using MAchine Learning and Data Analytics

Industry 4.0 or smart manufacturing/production, to have assembly lines being automated and interacting with each other and with close to no human interaction, includes data exchange, decision making, prediction, etc. through IoT, computing, and intelligent data analysis.

Avslutat

Start

2019-06-01

Avslut

2020-05-31

Samarbetspartners

Forskningsinriktning

Projektansvarig vid MDH

Universitetslektor

Mobyen Uddin Ahmed

021-10 73 69

mobyen.ahmed@mdh.se

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Description of the project

Today, production and assembly manufacturing lines are capturing a wide range of data that can be used to improve performance and productivity by using Data Analytics and Machine Learning (ML). These huge amounts of massive historical data are potential for analysis and prediction. Data analytics can be used e.g., for real-time predictive maintenance, optimization of production operations, improving productivity and energy efficiency etc.

AUTOMAD project aims to develop a decision-making system based on domain knowledge and contextual information using machine learning and data analytics. It will help in increasing assembly line capacity and production flexibility. Also, it will identify intersections between i.e, data analytics, context and domain-specific knowledge to create real value from the available data enabling efficient production and support through automation and digitization. Thus, the AUTOMAD project will help to overcome the challenges of integrating an intelligent solution into the Industry 4.0 context.

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