Search for dissertations about: "industry 4.0 quality"

Showing result 1 - 5 of 18 swedish dissertations containing the words industry 4.0 quality.

  2. 1. Sheet metal forming in the era of industry 4.0 : using data and simulations to improve understanding, predictability and performance

    Author : Sravan Tatipala; Johan Wall; Christian Johansson; Tobias Larsson; Mehdi Tarkian; Blekinge Tekniska Högskola; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Modelling; Simulation; Industry 4.0; Sheet Metal Forming; Process Monitoring; Process Control; Automation; Finite Element Analysis; Smart Manufacturing; Mechanical Engineering;

    Abstract : A major issue within automotive Sheet Metal Forming (SMF) concerns ensuring desired output product quality and consistent process performance. This is fueled by complex physical phenomena, process fluctuations and complicated parameter correlations governing the dynamics of the production processes. READ MORE

  4. 2. Soft Issues of Industry 4.0 : A study on human-machine interactions

    Author : Prasanna Illankoon; Phillip Tretten; Uday Kumar; John Abeysekara; Sarbjeet Singh; Jayantha Prasanna Liyanage; Luleå tekniska universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Drift och underhållsteknik; Operation and Maintenance;

    Abstract : Autonomous industrial operations are becoming the norm due to advancements in technology, which has led to both advantages and disadvantages for the organisations involved. The use of intelligent systems has resulted in higher system reliability, a higher quality product, and reduced risk for human error. READ MORE

  5. 3. Applied Machine Learning in Steel Process Engineering : Using Supervised Machine Learning Models to Predict the Electrical Energy Consumption of Electric Arc Furnaces

    Author : Leo Carlsson; Pär Jönsson; Peter Samuelsson; Mikael Vejdemo-Johansson; Henrik Saxen; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Electric Arc Furnace; Electrical Energy Consumption; Statistical Modelling; Machine Learning; Interpretable Machine Learning; Predictive Modelling; Industry 4.0; Ljusbågsugn; Elenergiförbrukning; Statistisk Modellering; Maskininlärning; Tolkningsbar Maskininlärning; Prediktiv Modellering; Industri 4.0; Teknisk materialvetenskap; Materials Science and Engineering; Metallurgical process science; Metallurgisk processvetenskap;

    Abstract : The steel industry is in constant need of improving its production processes. This is partly due to increasing competition and partly due to environmental concerns. One commonly used method for improving these processes is through the act of modeling. READ MORE

  6. 4. Application of Blockchain Technology for ISA95-Compliant Traditional and Smart Manufacturing Systems

    Author : Erkan Yalcinkaya; Antonio Maffei; Mauro Onori; Primož Podržaj; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; ISA95 standard; smart manufacturing; cybersecurity; interoperability; data quality; scalability; blockchain; blockchain system reference architecture; smart contracts; automation; machine to machine communication; industry 4.0; industrial internet of things; manufacturing industry;

    Abstract : The ISA95 standard has been dominating the manufacturing industry for several years. A vast number of ISA95-compliant traditional and legacy manufacturing systems (ISA95-CTS) are scattered across many factories worldwide. The technological advancements imposed by Industry 4. READ MORE

  7. 5. Robotic in-line quality inspection for changeable zero defect manufacturing

    Author : Victor Azamfirei; Lagrosen Yvonne; Anna Syberfeldt; Mälardalens högskola; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; industrial robot; in-line quality inspection; industry 4.0; changeable manufacturing; zero-defect manufacturing; Innovation and Design; innovation och design;

    Abstract : The growing customer demands for product variety have put unprecedented pressure on the manufacturing companies. To maintain their competitiveness, manufacturing companies need to frequently and efficiently adapt their processes while providing high-quality products. READ MORE