Dimitris Kiritsis

Dimitris Kiritsis
École Polytechnique Fédérale de Lausanne | EPFL · Institute of Mechanical Engineering

About

263
Publications
87,528
Reads
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4,873
Citations
Additional affiliations
June 1989 - present
École Polytechnique Fédérale de Lausanne
Position
  • Professor
December 1981 - May 1989
University of Patras
Position
  • Research Assistant

Publications

Publications (263)
Article
Full-text available
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 path analysis (GPA) method with a fault diagnosis ontology model. Firstly, a physical model-b...
Article
Recently, products and services have become joint commodities, in contrast to the traditional focus on products alone. Thus, modern industrial companies need to manage product-service systems (PSSs) as part of a competitive strategy. PSSs are comprised of complex, related products and services; stakeholders; processes; and environments. It is there...
Chapter
Full-text available
Aircraft assembly is a complex process associated with different stakeholders, which strongly impacts the R&D cost for the entire aircraft lifecycle management. Traditional aircraft assembly process is designed based on a document-centric approach which cannot provide graphical notations for engineers to understand the entire assembly process. More...
Article
Full-text available
Digital Twin is one of the fundamental enabling technologies for Industry 4.0 as it allows the convergence between a physical system and its digital representation. A proper modelling method is the prerequisite for successful digital twin implementation. The manufacturing process determines critically the quality of the manufactured products. The i...
Article
Full-text available
The Prognostic and Health Management (PHM) system of an aircraft has complex structures and diverse functions. It is highly coupled with other systems, such as the avionics system and flight management system. The Model-based Systems Engineering (MBSE) method is effective to support the design and verification of the aircraft PHM system. As a power...
Preprint
Full-text available
The development of an aircraft industrial system is a complex process which faces the challenge of digital discontinuity in multidisciplinary engineering due to various interfaces between different digital tools, leading to extra development time and costs. This paper proposes an ontology-based system, aiming at functionality integration and design...
Article
Despite the high number of investments for data-based models in the expansion of Industry 4.0, too little effort has been made to ensure the maintenance of those models. In a data-streaming environment, data-based models are subject to concept drifts. A concept drift is a change in data distribution which will, at some point, decrease the accuracy...
Article
Full-text available
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 development and artifacts, helping developers integrate engineering development across domains. Althoug...
Article
Full-text available
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 challenging to implement complexity management, interface definition, and service integration...
Preprint
2 The Prognostic and Health Management (PHM) system of an aircraft has complex structures 3 and diverse functions. It is highly coupled with other systems, such as avionics system and 4 flight management system. The model-based systems engineering (MBSE) method is effective 5 to support the design and verification of PHM systems of an aircraft. As...
Article
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Production scheduling enables a production system to allocate resources for the efficient and low-cost production. However, pure mathematical methods are typically utilized for production scheduling, which are not understandable and practical for different domain engineers. Moreover, heterogeneous information during production scheduling may result...
Article
Full-text available
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 efficiency, product-process quality, environmental impact, and inventory was specified by microelectro...
Chapter
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 are demanded. This chapter explores how Model-Based Systems Engineering (MBSE) can benefit fr...
Article
Full-text available
The development of an aircraft industrial system is a complex process which faces the challenge of digital discontinuity in multidisciplinary engineering due to various interfaces between different digital tools, leading to extra development time and costs. This paper proposes an ontology-based system, aiming at functionality integration and design...
Article
Full-text available
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 multiple relevant DTs of a system according to a specific mission. This requires integrating all ava...
Article
Full-text available
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 integrate an architecture of digital twins derived from business needs that leveraged the potenti...
Article
Full-text available
Actionable Cognitive Twins are the next generation Digital Twins enhanced with cognitive capabilities through a knowledge graph and artificial intelligence models that provide insights and decision-making options to the users. The knowledge graph describes the domain-specific knowledge regarding entities and interrelationships related to a manufact...
Chapter
Contemporary Industries are generating a huge amount of data coming from a high variety of sources, such as machine controllers, corporate systems, sensors, operators etc. Therefore, the need for the utilization of the information generated, also known as Big Data, has emerged. Although data importance is well known, very often in manufacturing ind...
Article
This paper introduces the background, concept and definition of the Industry Commons. It initiates a discussion on the positioning of the Industry Commons Ecosystem (ICE) with respect to current research directions in advanced manufacturing and production systems that shape advances in engineering and technology, novel business models and innovatio...
Article
Full-text available
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 performance. The Industry 4.0 framework brought technological developments that cannot be used by...
Preprint
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 equipment. At the same time, in academia, research articles about MBSE come into being and grow rapidl...
Article
Full-text available
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 efficiency. Initially developed for the semiconductor industry, VM has recently been examined for...
Article
Full-text available
Model-based systems engineering (MBSE) provides an important capability for managing the complexities of system development. MBSE empowers the formalism of system architectures for supporting model-based requirement elicitation, specification, design, development, testing, fielding, etc. However, the modeling languages and techniques are heterogene...
Chapter
Full-text available
Contemporary manufacturing companies pay a lot of attention to product quality as this aspect affects directly their competitiveness, productivity and the reputation of the company. Traditional quality improvement methods such as Six Sigma, Lean etc. seems unable to cope with the market’s quality standards. Contemporary technological advancements a...
Chapter
Full-text available
Digital twin (DT) provides a solution for supporting the interconnection between the physical world and the virtual world. When implementing DT integration, it is challenging to implement interface definition, information and service integration across DTs. This paper proposes a semantic modeling approach with a High-Level Architecture (HLA) to sup...
Preprint
Property verification in Model-based systems engineering (MBSE) supports the formalization of model properties and evaluates the constraints of model properties to check whether the developed models are valid and correct to reduce the design error and risks. However, there is a lack of an integrated method which property verification enables to be...
Preprint
Model-based systems engineering enables to verify the system performances using system behavior models, which can identify the fault design that do not meet the stakeholders' requirements as early as possible, thus reducing R&D cost and error risks. Currently, different domain engineers make use of different modeling languages to create their own b...
Article
Full-text available
Defects are unavoidable during manufacturing processes, and a tremendous amount of research aimed at improving defect prevention has been conducted by scholars. Zero Defect Manufacturing (ZDM) seeks to eliminate defects in production. In addition, technological advancements now allow the repair of defective products. This creates the need to re-sch...
Preprint
During the early phase of an aircraft program, industrial architects need to evaluate different industrial scenarios and perform trade-offs to optimize the future industrial architecture according to different key performance indicators. Expert knowledge accumulated during previous programs provides a foundation for the new one. It is a challenging...
Preprint
With the increasing complexity of engineered systems, systems of systems (SoSs) have been widely used to manage complexity across systems in order to achieve additional desired capabilities. When developing an SoS based on existing systems, digital twins (DTs) provide a solution for supporting integrated modeling, simulation, and decision-making of...
Preprint
Full-text available
Since the complex engineered system is involved in multidisciplinary , co-simulation is the key technique to the performance analysis in the life cycle. However, the co-simulation is hindered by the challenge of integrating heterogeneous subsystems and ununified environments. In this paper, a Cognitive Twin (CT) to support the co-simulation of the...
Preprint
Full-text available
In the fact of increasing complexity of aircraft development programs, development processes of aircraft and their subsystems are continuously becoming complicated which leads to the growing risks of development cost across the entire lifecycle. In this paper, we propose a model-based systems engineering approach to support process modeling of airc...
Conference Paper
Full-text available
The quality of a product is highly dependent on manufacturing processes. The recent development of industrial information technologies, such as Cyber-Physical Production Systems, Industrial Internet of Things, and Big Manufacturing Data Analytics has empowered the digitalization of manufacturing processes and promoted the concept of Digital Twin (D...
Preprint
Full-text available
Digital twin (DT) provides a solution for supporting the interconnec-tion between the physical world and the virtual world. When implementing DT integration, it is challenging to implement interface definition, information and service integration across DTs. This paper proposes a semantic modeling approach with a High-Level Architecture (HLA) to su...
Article
Full-text available
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 trends that require supply chains to become “cognitive”, i.e., able to predict trends and fle...
Article
Full-text available
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 models are fundamental to the robustness of production processes. This paper proposes a model...
Preprint
Full-text available
Actionable Cognitive Twins are the next generation Digital Twins enhanced with cognitive capabilities through a knowledge graph and artificial intelligence models that provide insights and decision-making options to the users. The knowledge graph describes the domain-specific knowledge regarding entities and interrelationships related to a manufact...
Article
Full-text available
Closed-Loop Lifecycle Management (CL2M) is an integral part of the circular economy. Managing the CL2M enables manufacturers and associated digital factories to connect in-service issues back to process conditions and product information at manufacturing and other stages of the life cycle with the aim of having Zero Defect Manufacturing (ZDM). ZDM...
Article
Full-text available
Rush orders are common events in enterprises that are utilizing make-to-order production strategy. They have multiple negative impacts to the production system such as higher product defect rate which corresponds to product quality drop, not meeting the due dates and cause customers’ dissatisfaction, higher production costs, waste of materials and...
Article
Full-text available
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 achieving the same goal. The current paper investigates and identifies the key control parameters for...
Preprint
Full-text available
Cyber-physical systems (CPS) 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 multi-domain views with flexible automated verification across the entire lifecycle. This paper illustrates a model-based systems enginee...
Conference Paper
The paper introduces a Smart Innovation Environment for the devel-opment of Digital Twins and experimentation related to digital transformation projects, thus consolidating the "Digital Engineer" skill profile (with a business-oriented facet labelled as "Digital Innovator"). In the Internet of Things (IoT) era, this profile implies not only the abi...
Conference Paper
Full-text available
Zero Defect Manufacturing concept imposes that any event in the production should have a counter-action in order to mitigate it. This approach creates the need for more frequent rescheduling of the shop floor to accommodate corrective actions. This paper focuses on the improvement of the quality in the flexible job-shop scheduling problem. As state...
Chapter
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 Innovator”). In the Internet of Things era, this profile implies the ability to perform both digital d...
Preprint
Full-text available
Model-based systems engineering (MBSE) provides an important capability for managing the complexities of system development. MBSE empowers the formalisms of system architectures for supporting model-based requirement elicitation, specification, design, development, testing, fielding, etc. However, the modeling languages and techniques are quite het...
Preprint
Full-text available
During the entire lifecycle of system development, various digital twins could be developed to support different systems engineering activities, such as verification and validation. The increasing complexity of digital twins leads to a challenge to manage the consistency, changes and traceability across the entire lifecycle. In this paper, a semant...
Article
Full-text available
In contemporary manufacturing systems, re-scheduling of the production has become an unavoidable and critical phenomenon. There are many types of unexpected events, which can disrupt the normal operation of manufacturing systems. Therefore, the current research work focuses on identifying the critical reaction time for such events in order to keep...
Presentation
Full-text available
Kick-off meeting plan EPFL-09.2020 ict4sm.epfl.ch/
Chapter
Full-text available
Decreasing defects, waste time, meeting customer demand and being adaptable are the goals of a Zero Defect Manufacturing (ZDM) strategy. Scheduling is an important tool to perform that. It should take in account buffer size allocation. In this study, a method to solve the Buffer Sizing Problem (BSP), which is NP-hard problem. The current research w...
Chapter
Full-text available
Digital Twins (DT) are proposed in industries to support the entire lifecycle of services with different perspectives. Lack of systematic analysis of DT concepts leads to various definitions and services which challenges the DT developers for data integration and integrated service delivery. In this paper, a systems engineering approach is proposed...
Chapter
Full-text available
The wide application of Internet of Things (IoT) has fostered the development of Industry 4.0. In manufacturing domain, Industrial IoT (IIoT) are key components of the Factories of the Future (FoF). The big IIoT data are the foundation of implementing data-driven strategies. In current industrial practice, most of these IIoT data are wasted or frag...
Article
Full-text available
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 Management, Theory of Constraints, and their combination are philosophies dedicated to this goal. This...
Chapter
Learning embeddings of entities and relations existing in knowledge bases allows the discovery of hidden patterns in them. In this work, we examine the contribution of geometrical space to the task of knowledge base completion. We focus on the family of translational models, whose performance has been lagging. We extend these models to the hyperbol...