Home

Person

Dimitrios Kyritsis

About
Privacy
Disclaimer

Graph Chatbot

Related publications (91)

Cost-Based Decision Support System: A Dynamic Cost Estimation of Key Performance Indicators in Manufacturing

Dimitrios Kyritsis, Foivos Psarommatis Giannakopoulos

An attempt is made to translate five generic key performance indicators (KPIs) into a continuous real-time cost function in a batch order-based manufacturing environment. The challenge of controlling and optimizing resource utilization, production efficien ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

Systematic Literature Review of MBSE Tool-Chains

Dimitrios Kyritsis, Yan Yan, Jinzhi Lu

Currently, the fundamental tenets of systems engineering are supported by a model-based approach to minimize risks and avoid design changes in late development stages. The models are used to formalize, analyze, design, optimize, and verify system developme ...

MDPI2022

Bibliometric Analysis of Model-Based Systems Engineering: Past, Current, and Future

Dimitrios Kyritsis, Yan Yan, Jinzhi Lu

Model-based systems engineering (MBSE) is considered an important approach for understanding multidomain fields and is widely used in complex systems such as aerospace. In this article, a detailed survey of MBSE literature was conducted from its commenceme ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

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

Dimitrios Kyritsis, Jinzhi Lu, Xiaochen Zheng

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

A semantic-driven tradespace framework to accelerate aircraft manufacturing system design

Dimitrios Kyritsis, Jinzhi Lu, Xiaochen Zheng

During the design phase of an aircraft manufacturing system, different industrial scenarios need to be evaluated according to key performance indicators to achieve the optimal system performance. It is a highly complex process involving multidisciplinary s ...

SPRINGER2022

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

Dimitrios Kyritsis, Jinzhi Lu, Xiaochen Zheng

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

Zero-defect manufacturing the approach for higher manufacturing sustainability in the era of industry 4.0: a position paper

Dimitrios Kyritsis, Foivos Psarommatis Giannakopoulos

For manufacturing companies, quality management is a key feature for increasing the competitiveness, productivity, profitability, and sustainability of their systems. Quality improvement (QI) methods aim to achieve high-quality parts without reducing perfo ...

TAYLOR & FRANCIS LTD2022

Model-Based Systems Engineering Tool-Chain for Automated Parameter Value Selection

Dimitrios Kyritsis, Jinzhi Lu

Cyber-physical systems (CPSs) integrate heterogeneous systems and process sensor data using digital services. As the complexity of CPS increases, it becomes more challenging to efficiently formalize the integrated multidomain views with flexible automated ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

Ontology-centric industrial requirements validation for aircraft assembly system design

Dimitrios Kyritsis, Jinzhi Lu, Xiaochen Zheng

The development of an aircraft industrial system faces the challenge of integrative requirements validation with de-correlated modelling languages and distributed proprietary formats. This paper specifies an ontology-centric industrial requirements validat ...

ELSEVIER2022

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

Dimitrios Kyritsis, Jinzhi Lu, Xiaochen Zheng, Jinwei Chen

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

Cognitive twin construction for system of systems operation based on semantic integration and high-level architecture

Dimitrios Kyritsis, Jinzhi Lu, Han Li

With the increasing complexity of engineered systems, digital twins (DTs) have been widely used to support integrated modeling, simulation, and decision-making of the system of systems (SoS). However, when integrating DTs of each constituent system, it is ...

IOS PRESS2022

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

Dimitrios Kyritsis, Jinzhi Lu, Jinwei Chen

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, Xiaochen Zheng

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

Predictive Maintenance Key Control Parameters for Achieving Efficient Zero Defect Manufacturing

Dimitrios Kyritsis, Foivos Psarommatis Giannakopoulos

Predictive maintenance is a subbranch of Zero Defect Manufacturing concept. The goal is to achieve higher quality at the final product with the most optimum and efficient way. Predictive maintenance may be applied with various alternative ways for achievin ...

Elsevier2021

A Knowledge Management Approach Supporting Model-Based Systems Engineering

Dimitrios Kyritsis, Jinzhi Lu, Lei Feng

Model-based Systems Engineering (MBSE) is a noval approach to support complex system development by formalizing system artifacts and development using models. Though MBSE models provide a completely structural formalisms about system development for system ...

2021

Digital Twin-Enabled Decision Support Services in Industrial Ecosystems

Dimitrios Kyritsis, Jinzhi Lu

The goal of this paper is to further elaborate a new concept for value creation by decision support services in industrial service ecosystems using digital twins and to apply it to an extended case study. The aim of the original model was to design and int ...

MDPI2021

A Bibliometric Analysis on Model-based Systems Engineering

Dimitrios Kyritsis, Jinzhi Lu, Lei Feng

Model-based systems engineering (MBSE) has been accepted as an extremely important approach to understanding the multi-domain research field comprehensively. In this paper, a bibliometric analysis is used to conduct a comprehensive survey of model-based sy ...

IEEE2021

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

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

Editorial: Data-Driven Cognitive Manufacturing-Applications in Predictive Maintenance and Zero Defect Manufacturing

Dimitrios Kyritsis

FRONTIERS MEDIA SA2021

Page 2 of 5