Publications by Sangje Cho | EPFL Graph Search

A semantic-driven approach toward Industry 4.0

The current manufacturing trend is towards sustainability. Due to the degradation of natural resources and the accumulation of waste with an increase in the world population and in the consumption of goods, many countries attempt to switch from a linear to ...

EPFL2020

Ontology for Strategies and Predictive Maintenance models

Dimitrios Kyritsis, Sangje Cho, Gökan May, Marlène Hildebrand-Ehrhardt

As of today, to cope with traditional maintenance policies such as reactive and preventive maintenance, the manufacturing companies need the deployment of adaptive and responsive maintenance strategies. Meanwhile, the advent of Industry 4.0 leads the maint ...

ELSEVIER2020

A semantic-driven approach for Industry 4.0

Dimitrios Kyritsis, Sangje Cho, Gökan May

Toward industry 4.0, modern manufacturing companies are aiming at building digital twins to manage physical assets, processes, people, and places. Since in this environment, massive amounts of data have been generated and collected, integration and managem ...

IEEE2019

A Hybrid Machine Learning Approach for Predictive Maintenance in Smart Factories of the Future

Dimitrios Kyritsis, Roberto Pérez, Sangje Cho, Gökan May, Ioannis Tourkogiorgis

Advanced technologies based on Internet of Things (IOT) are blazing a trail to effective and efficient management of an overall plant. In this context, manufacturing companies require an innovative strategy to survive in a competitive business environment, ...

SPRINGER-VERLAG BERLIN2018

Predictive Maintenance Platform Based on Integrated Strategies for Increased Operating Life of Factories

Dimitrios Kyritsis, Sangje Cho, Gökan May

Process output and profitability of the operations are mainly determined by how the equipment is being used. The production planning, operations and machine maintenance influence the overall equipment effectiveness (OEE) of the machinery, resulting in more ...

SPRINGER-VERLAG BERLIN2018

Heuristic algorithms for maximising the total profit of end-of-life computer remanufacturing

Dimitrios Kyritsis, Sangje Cho

Recently the optimisation of end-of-life (EOL) computer remanufacturing has been highlighted since a big amount of used computers have been disposed of every year. Each part inspected after disassembling EOL computers can have various EOL options such as r ...

Taylor & Francis Ltd2017

A Study on Estimating the Next Failure Time of Compressor Equipment in an Offshore Plant

Jongho Shin, Sangje Cho

The offshore plant equipment usually has a long life cycle. During its O&M (Operation and Maintenance) phase, since the accidental occurrence of offshore plant equipment causes catastrophic damage, it is necessary to make more efforts for managing critical ...

Hindawi Limited2016