Publications de Gökan May | EPFL Graph Search

Virtual metrology as an approach for product quality estimation in Industry 4.0: a systematic review and integrative conceptual framework

Dimitrios Kyritsis, Gökan May, Foivos Psarommatis Giannakopoulos

Virtual metrology (VM) involves estimating a product's quality directly from production process data without physically measuring it. This enables the product quality of each unit of production to be monitored in real time, while preserving the process eff ...

TAYLOR & FRANCIS LTD2022

Product Quality Improvement Policies in Industry 4.0: Characteristics, Enabling Factors, Barriers, and Evolution Toward Zero Defect Manufacturing

Dimitrios Kyritsis, Gökan May, Foivos Psarommatis Giannakopoulos

In the competitive market of manufacturing, quality is a criterion of primary importance in order to win market share. Quality improvement must be coupled with performance point of view. Lean Manufacturing, Six Sigma, Lean Six Sigma, Total Quality Manageme ...

2020

Zero defect manufacturing: state-of-the-art review, shortcomings and future directions in research

Dimitrios Kyritsis, Gökan May, Foivos Psarommatis Giannakopoulos, Paul Arthur Adrien Pierre Dreyfus

This paper provides a literature review on zero defect manufacturing based on the content analysis performed for 280 research articles published from 1987 to 2018 in a variety of academic journals and conference proceedings. The review summarises the state ...

TAYLOR & FRANCIS LTD2020

Ontology for Strategies and Predictive Maintenance models

Dimitrios Kyritsis, Gökan May, Sangje Cho, 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

Special Issue on Smart Sustainable Manufacturing Systems

Dimitrios Kyritsis, Gökan May

2019

Zero Defect Manufacturing Strategies and Platform for Smart Factories of Industry 4.0

Dimitrios Kyritsis, Gökan May

Within the context of market globalisation, the quality of products has become a key factor for success in manufacturing industry. The growing unpredictability of demand necessitates continuous adjustments in production targets. Addressing customer needs a ...

SPRINGER-VERLAG BERLIN2019

A semantic-driven approach for Industry 4.0

Dimitrios Kyritsis, Gökan May, Sangje Cho

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, Gökan May, Roberto Pérez, Sangje Cho, 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, Gökan May, Sangje Cho

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

The significance of organizational change management for sustainable competitiveness in manufacturing: exploring the firm archetypes

Gökan May

The successful development and deployment of adequate sustainable manufacturing strategies are still open issues and of utmost interest for research and practice. Guided by this particular challenge, we investigate the significance of organisational change ...

Taylor & Francis Ltd2017