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Dimitrios Kyritsis

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Related publications (91)

Page 2 of 5

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, 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

The emergence of cognitive digital twin: vision, challenges and opportunities

Dimitrios Kyritsis, Jinzhi Lu

As a key enabling technology of Industry 4.0, Digital Twin (DT) has been widely applied to various industrial domains covering different lifecycle phases of products and systems. To fully realize the Industry 4.0 vision, it is necessary to integrate multip ...

TAYLOR & FRANCIS LTD2022

Design ontology for cognitive thread supporting traceability management in model-based systems engineering

Dimitrios Kyritsis, Jinzhi Lu, Yan Yan

Industrial information integration engineering (IIIE) is an interdisciplinary field to facilitate the industrial information integration process. In the age of complex and large-scale systems, model-based systems engineering (MBSE) is widely adopted in ind ...

Elsevier2024

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

Dimitrios Kyritsis, Foivos Psarommatis Giannakopoulos, Gökan May

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

OMiLAB: A Smart Innovation Environment for Digital Engineers

Dimitrios Kyritsis

This position paper introduces a Smart Innovation Environment for experimentation related to digital transformation projects, for the consolidation of a proposed "Digital Engineer" skill profile (with a business-oriented facet labelled as "Digital Innovato ...

SPRINGER INTERNATIONAL PUBLISHING AG2021

Degradation mode and criticality analysis based on product usage data

Dimitrios Kyritsis, Paul Xirouchakis

Over the last decade, a rapid development of internet, wireless mobile telecommunication, and product identification technologies make whole product life cycle visible and controllable, which can improve several operational issues over the whole product li ...

Springer London Ltd2015

Model-based Systems Engineering Papers Analysis based on Word Cloud Visualization

Dimitrios Kyritsis, Jinzhi Lu

With the continuous improvement of system scale and complexity, model-based system engineering (MBSE) is of great importance in the practice of system engineering (SE). MBSE has been widely concerned in industry, especially in the field of complex equipmen ...

IEEE2022

Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks-An Operational Model

Dimitrios Kyritsis

Supply chain agility and resilience are key factors for the success of manufacturing companies in their attempt to respond to dynamic changes. The circular economy, the need for optimized material flows, ad-hoc responses and personalization are some of the ...

2021

A Method for Converting Current Data to RDF in the Era of Industry 4.0

Dimitrios Kyritsis, Foivos Psarommatis Giannakopoulos, Damiano Nunzio Arena, Ioannis Tourkogiorgis, Marlène Hildebrand-Ehrhardt

In the past two decades, the use of ontologies has been proven to be an effective tool for enriching existing information systems in the digital data modelling domain and exploiting those assets for semantic interoperability. With the rise of Industry 4.0, ...

SPRINGER INTERNATIONAL PUBLISHING AG2019

An aircraft assembly process formalism and verification method based on semantic modeling and MBSE

Dimitrios Kyritsis, Jinzhi Lu, Xiaochen Zheng

The aircraft assembly system is highly complex involving different stakeholders from multiple domains. The design of such a system requires comprehensive consideration of various industrial scenarios aiming to optimize key performance indicators. Tradition ...

Elsevier Sci Ltd2024

A hybrid framework for industrial data storage and exploitation

Dimitrios Kyritsis, Foivos Psarommatis Giannakopoulos, Ioannis Tourkogiorgis

In this paper a hybrid framework is illustrated, with a software and hardware integration strategy, for an industrial platform that exploits features from a Relational Database (RDB) and Triplestore using the blackboard architectural pattern, ensuring effi ...

Elsevier2019

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

Dimitrios Kyritsis, Foivos Psarommatis Giannakopoulos, Gökan May

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

Model-based engineering and semantic interoperability for trusted digital twins big data connection across the product lifecycle

Dimitrios Kyritsis, Marlène Hildebrand-Ehrhardt

With the rising complexity of modern products and a trend from single products to Systems of Systems (SoS) where the produced system consists of multiple subsystems and the integration of multiple domains is a mandatory step, new approaches for development ...

Springer International Publishing2022

Semantic Interoperability and Open IoT APIs for Smart Cities Applications

Dimitrios Kyritsis, Prodromos Kolyvakis

As the percentage of the total population living in urban regions is increasing, new challenges for the cities of the future arise. Smart Cities emerged as a solution to these challenges building on the strength of intelligent information, communication te ...

SPRINGER-VERLAG BERLIN2018

Co-simulation of complex engineered systems enabled by a cognitive twin architecture

Dimitrios Kyritsis, Jinzhi Lu

Since the complex engineered system involves multi-disciplinary, co-simulation is the key technique to the performance analysis. However, the co-simulation is hindered by heterogeneous sub-systems and ununified environments. In this paper, a Cognitive Twin ...

TAYLOR & FRANCIS LTD2022

A Generic Methodology for Calculating Rescheduling Time for Multiple Unexpected Events in the Era of Zero Defect Manufacturing

Dimitrios Kyritsis, Foivos Psarommatis Giannakopoulos

Nowadays, the manufacturing industry is constantly changing. Production systems must operate in a highly dynamic environment where unexpected events could occur and create disruption, making rescheduling inevitable for manufacturing companies. Rescheduling ...

2021

Governance framework for autonomous and cognitive digital twins in agile supply chains

Dimitrios Kyritsis

Cognitive Digital twins (CDT) are Digital Twins with cognition capabilities and ensure a proper monitoring and optimization of a specific asset's behaviour. In the context of supply chains, there are different entities involved from assets, processes, up t ...

ELSEVIER2023

A mereotopological product relationship description approach for assembly oriented design

Dimitrios Kyritsis, Aristeidis Matsokis

This paper describes a novel approach for integrated assembly modelling and planning. The main objective is to make assembly information accessible and exploitable by data management systems and computer-aided X tools in order to support product architects ...

2012

A Data-Knowledge Hybrid Driven Method for Gas Turbine Gas Path Diagnosis

Dimitrios Kyritsis, Jinzhi Lu

Gas path fault diagnosis of a gas turbine is a complex task involving field data analysis and knowledge-based reasoning. In this paper, a data-knowledge hybrid driven method for gas path fault diagnosis is proposed by integrating a physical model-based gas ...

MDPI2022