Browsing by Subject "Industry 4.0"
Now showing items 1-6 of 6
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An application for a particleboard plant: Web-based decision support system for quality prediction and digital transformation
As it is same for most of the production procedures, a certain quality level must be derived in the particle board production. In the particleboard production, a series of samples taken from the production line for the ... -
Enablers for industry 4.0
(IEEE, 2018-12-10)Both, globalization and technological advancements do motivate manufacturing organizations to adopt Industry 4.0 practices. It implies an evolutional transformation, which aggregates advanced technologies and cyber-physical ... -
Ensemble Learning based on Regressor Chains: A Case on Quality Prediction
(SciTePress, 2019)In this study we construct a prediction model, which utilizes the production process parameters acquired from a textile machine and predicts the quality characteristics of the final yarn. Several machine learning algorithms ... -
A Markovian approach for time series prediction for quality control
(Elsevier, 2019)In this work we aim to predict quality levels of incoming batches of a selected product type to a white goods manufacturer from a third party supplier. We apply a Markov Model that captures the quality level of the incoming ... -
Remote dbugging for containerized applications in edge computing environments
(IEEE, 2019)Edge Computing (EC) became popular again with the rise of IoT, Cloud Computing, and Industry 4.0. In this paper, difficulties of application development in the EC environment are discussed and a container-based solution ... -
A web-based decision support system for quality prediction in manufacturing using ensemble of regressor chains
(Springer, 2020)In this study we construct a decision support system (DSS), which utilizes the production process parameters to predict the quality characteristics of final products in two different manufacturing plants. Using the idea ...
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