Mario Lezoche

University of Lorraine | UdL · CRAN - Centre de Recherche en Automatique de Nancy

In Additive Manufacturing (AM), it is still a major challenge to manage part quality, which is heavily influenced by feedstock materials, process settings, and in-process control. Deviations in these factors can lead to defects in the final product, particularly in Laser-Powder Bed Fusion (L-PBF), an AM process that builds parts with high precision...

L’architecture, l’ingénierie et la construction impliquent intrinsèquement des processus complexes, de multiples parties prenantes et des scénarios de prise de décision dynamiques. Le succès de tels projets repose en grande partie sur la circulation efficace d’informations précises et pertinentes auprès des diverses personnes impliquées. Cet articl...

The Internet of Things massive adoption in many industrial areas in addition to the requirement of modern services is posing huge challenges to the field of data mining. Moreover, the semantic interoperability of systems and enterprises requires to operate between many different formats such as ontologies, knowledge graphs, or relational databases,...

Prognostics and Health Management (PHM) approaches aim to intervene in the equipment of production systems before faults occur. To properly implement a PHM system, data-centric steps must be taken, including data acquisition and manipulation, detection of machine states, health assessment, prognosis of future failures, and advisory generation. The...

Industry 4.0 (I4.0) creates more efficient production processes by providing an interconnected environment between man and machine. Cyber-physical systems (CPS) are one of the many technologies that enable I4.0 by building a bridge between the physical and the virtual objects in production systems. Nonetheless, CPSs are dealing with a complex syste...

Les systèmes industriels cyber-physiques opèrent simultanément dans les mondes physiques et numériques des entreprises. Pierre angulaire de la 4e révolution industrielle, ils s’imposent de plus en plus comme une voie d’avenir auprès des académiques et des industriels. L’essence même de ces systèmes reste toutefois souvent mal comprise ou mal interp...

The amount of different environments where data can be exploited have increased partly because of the massive adoption of technologies such as microservices and distributed architectures. Accordingly, approaches to treat data are in constant improvement. An example of this is the Formal Concept Analysis framework that has seen an increase in the me...

Is well known that the semantic web is having a tremendous impact on many aspects of the world and that it’s a wave that is far away from going down. Ontology and Knowledge graphs are two methods of knowledge representation that are part of the basis of this wave, and both have their pros and cons. In this work, there is an analysis over the relati...

Thanks to the internet of things (IoT) and cyber physical systems (CPS), we face an incremental growth of the available data, either on the internet or in private databases. This resulted in data min-ing techniques becoming an essential piece in the information retrieval process. Moreover, trends like the industry 4.0 encourages its usage to suppor...

The introduction of semantic technologies to the construction field is a concept that has been explored many times over the last few years. However, building renovation tends to be overlooked when talking about advancements in construction. Even if renovation projects consists 57% of construction activities, the renovation field is still the least...

Published in Proceedings of the 3rd International Conference on Innovative Intelligent Industrial Production and Logistics, Hervé Panetto, Georg Weichhart, Alexander Smirnov and Kurosh Madani editors, pp. 129-136, SCITEPRESS 2022

Farmers often decide independently when and how much area to plant each crop. As farmers unknow the demand for crops, they tend to plant the most profitable crops from the previous year. If all farmers reproduced this behavior, they would overproduce the most profitable crops and underproduce the least profitable ones, leading to a supply-demand im...

Through the concepts of Big Data and machine learning, this chapter illustrates how it is possible to exploit the immense mass of data that can be capitalized at the level of the cyber layer of industrial cyber‐physical systems (ICPS). Many data mining techniques are available for the analysis of these large masses of data. In the context of ICPS,...

Modelling Cyber-physical systems is quite complex and thus needs a big amount of data and modelling techniques representing the operational semantics of the modelled elements. Generally, the modelling action has a specific application type. For this reason, the paper proposes a series of modelling patterns aimed at automatically identifying invaria...

Four concepts stand out in the current landscape of modern industrial production. The product life cycle, sustainability, Industry 4.0 and semantic interoperability. The article will be focused on creating a link between the four and expresses the strong causal relationship between them in order to optimise production processes. To that point, a 3D...

Manufacturing enterprises are facing the need to align themselves to the new information technologies (IT) and respond to the new challenges of variable market demand. One of the key enablers of this IT revolution toward Smart Manufacturing is the digital twin (DT). It embeds a “virtual” image of the reality constantly synchronized with the real op...

The cooperative enterprise information systems (CEIS) have admittance to a large amount of information and have to interoperate to achieve their goal. Industry 4.0 has been identified as a leading contributor in digitalization and automated manufacturing and it integrates what is called to be the cyber physical systems (CPS). This improvement opene...

The digital twin has received strong interests from researchers and industries since it allows predictive manufacturing by integrating the cyber and the physical space. An important prerequisite for the cyber–physical integration is a proper and highly-accurate digital model. Considering the complexity of digital modelling, the paper aims at develo...

Manufacturing organisations are now facing unexpected challenges due to scarcity of the natural resources and consequent governmental rules that urge to adopt new organisational or even manufacturing strategies. Adopting the sustainability paradigm at the present seems to be the only viable strategy to respond appropriately to this changed market c...

The term “Agri-Food 4.0” is an analogy to the term "Industry 4.0", coming from the concept “agriculture 4.0”. Since the origins of the industrial revolution, where the steam engines started the concept of Industry 1.0 and later the use of electricity upgraded the concept to Industry 2.0, the use of technologies generated a milestone in the industry...

To make knowledge-supported decisions, industrial actors often need to examine available data for suggestive patterns. As industrial data are typically unlabeled and involve multiple object types, unsupervised multi-relational (MR) data mining methods are particularly suitable for the task. Current MR association miners merely produce singleton-con...

Linked data (LD) is a rich format increasingly exploited in knowledge discovery from data (KDD). To that end, LD is typically structured as graph, but can also fit the multi-relational data mining (MRDM) paradigm, e.g. as multiple types and object properties may be used in the dataset. Formal concept analysis (FCA) has been successfully used as the...

The digital transformation of collaborative networked manufacturing enterprises requires the building and the applying digital models representing the set of resources and processes knowledge. Modelling such digital copy of the physical system to perform real-time validation and optimization is quite complex and thus needs a big amount of data and...

Process flexibility plays a key role in high variability environments, such as healthcare. In this type of environment, the process model needs to change some elements to adjust to specific sets of requirements. Thus, this paper proposes a process model customising method based on ontology and process mining. The method proposed is applied in custo...

Organizations are struggling to survive in today’s competitive market. They are mostly obliged to meet customers’ expectations and demand for sustainable products from one side and comply with governmental rules and regulations regarding energy, resources, materials, etc. on the other side. Therefore, measuring their sustainability performance and...

Manufacturing organisations are facing the urge to adopt new strategies like sustainability to be able to respond to the market and customer’s demand for sustainable products due to the scarcity of the natural resources or government policies. To serve this purpose, the main questions risen are ‘How sustainability is defined through its dimensions?...

Cyber-Physical Systems (CPS) are systems composed by a physical component that is controlled by a cyber-component. They are leading the 4-th Industrial Revolution characterized by high intercommunicating properties of its production elements in the manufacturing processes. For this reason, it is a core concept how the systems should be structurally...

Cyber-Physical Systems (CPS) are systems composed by a physical component that is controlled or monitored by a cyber-component, a computer-based algorithm. Advances in CPS technologies and science are enabling capability, adaptability, scalability, resiliency, safety, security, and usability that will far exceed the simple embedded systems of today...

Formal Concept Analysis (FCA) is a well-established method for data analysis which finds many applications in data mining. Its extension on complex data representation formats brought a wave of new applications to the problems such as gene expression mining, prediction of toxicity of chemical compounds or clustering of sequences in process event lo...

Cyber-Physical Systems (CPS) lead to the 4-th Industrial Revolution (Industry 4.0) that will have benefits from high flexibility of production, easy and so more accessible participation of all involved parties of business processes. The Industry 4.0 production paradigm is characterized by autonomous behaviour and intercommunicating properties of it...

Interoperability is a major stake for industry, and in general for all the systems, of any dimension, that need to share contents in every shape. It provides that the exchanges between different parts of different entities perform in a perfect way. Various problems could arise and let the interoperation difficult or impossible. One of those problem...

An exhibition system is typically a physical open space made of several buildings devoted to performing demonstrations or social activities. Several examples of exhibition systems can be found word wide. The management of these spaces, even in presence of a limited number of activities, requires significant efforts: safety, welcome, merchandising,...

When dealing with processes, engineering systems need to be able to deal with the existence of many versions of the same process, known as variants. Each process variant aims to represent a specific business context but, due to some differences in the activities, resources, and control flow, they may differ in their logic. As result, the concept of...

A complex system integrates multiple sub-systems and contains both knowledge in each sub-system and in their connections. This paper aims to present the relational concept analysis as a method to extract “connection” knowledge as much as the sub-system contained knowledge. A use case from neurology to validate the approach is introduced. A brain is...

Managing process variability enable the process model adaptability according changes in the application environment. In the healthcare area, flexibility is essential to provide a quality treatment because, even patients with the same diagnostic, may follow different paths and suffer different proceedings. Besides, there are many aspects to be consi...

Linked Open Data (LOD) constitute a large and growing collection of inter-domain data sets. LOD are represented as RDF graphs that allow interlinking with ontologies, facilitating data integration, knowledge engineering and in a certain sense knowledge discovery. However, ontologies associated with LOD are of different quality and not necessarily a...

To handle challenges such as globalization, new technologies and fast-changing environments, enterprises are progressively collaborating with others and becoming part of a Networked. In this context, Enterprise Interoperability (EI) is a crucial requirement that needs to be respected by enterprises when starting a collaborative relationship. As soo...

The pervasive diffusion of Information and Communication technologies (ICT) and automation technologies are the prerequisite for the preconized fourth industrial revolution: the Industry 4.0 (I4.0). Despite the economical efforts of several governments all over the world, still there are few companies, especially small and medium enterprises (SMEs)...

Challenges such as globalization and novel technologies are changes-drivers that require transformation within enterprises and their environments. To handle that, enterprises are progressively collaborating with others and becoming part of a Networked Enterprises (NE). In this collaborative and transdisciplinary context, one of the difficulties fac...

The interoperability among a variety of systems, in or across manufacturing enterprises, has been widely accepted as one of the important factors that affect the efficiency of production. Many research works, related to the interoperability at different levels, have been carried out to tackle the information exchange, transformation, discovery and...

Internet-of-Things (IoT) platform (often referred to as IoT middleware) is a software that enables connecting the machines and devices and then acquisition, processing, transformation, organization and storing machine and sensor data. The objective of the research behind this paper is to establish a state of the art in the development of IoT platfo...

Internet-of-Things (IoT) platform (often referred to as IoT middleware) is a software that enables connecting the machines and devices and then acquisition, processing, transformation, organization and storing machine and sensor data. The objective of the research behind this paper is to establish a state of the art in the development of IoT platfo...

Semantic interoperability plays an important role in healthcare domain, essentially it concerns the action of sharing the meaning between the involved entities. The enterprises store all the execution processes data as event log files. The process mining method is one among the possible methods that enable the processes analysis behavior in order t...

Nowadays, the need for systems interoperability in or across enterprises has become more and more ubiquitous. Many research works have been carried out in the fields of information exchange, transformation, discovery and reuse. One of the main challenges in these researches is to overcome the semantic heterogeneity between enterprise applications a...

The government interoperability frameworks (GIFs) are mainly centered on technical perspective neglecting important actual issues in Public Administration (PA) as the performance of their services and process as well its strategic, legal and politic positioning. This wide spectrum of organizational knowledge demands specific interoperability assess...

Nowadays, the need for system interoperability in or across enterprises has become more and more ubiquitous. Lots of research works have been carried out in the information exchange, transformation, discovery and reuse. One of the main challenges in these researches is to overcome the semantic heterogeneity between enterprise applications along the...

The interoperability among a variety of systems, in or across manufacturing enterprises, has been widely accepted as one of the important factors that affects the efficiency of production. The aim of this study is to deal with the semantic interoperability issues in a product lifecycle management environment. Through the investigation of related wo...

Since the late 1990s, with the raising of eGovernment concepts and the increase use of ICT by public administration entities, the need for collaboration among these organizations is a reality with which systems, managers and other stakeholders must deal. The growing need for information exchange, the supply of online services, and the search for co...

Product Lifecycle Management (PLM) has been considered as an essential concept for improving the product competitive ability in manufacturing enterprises. The PLM solution aims at providing a shared platform for facilitating the management of the knowledge related to any product development process in or across enterprises. However, facing with dif...

Enterprise performance is, now more than ever, one of the key points for reaching the market success. In order to increase it, economics paradigms focus on how to better manage knowledge acquiring, sharing and update. Knowledge management can be approached with the possibility offered by the sustainability goals trying to optimise different enterpr...

Nowadays, the need for systems collaboration across enterprises and through different domains has become more and more ubiquitous. Due to the lack of standardized models or architecture, as well as semantic mismatching and inconsistencies, research works on information and model exchange, transformation, discovery and reuse are carried out in recen...

La complexité accrue des entreprises a fait émerger différents défis auxquels toute entreprise doit faire face pour assurer sa compétitivité. L'interopérabilité d'entreprise est désormais considérée comme un enjeu majeur pour assurer une performance attendue dans le cadre d'un réseau d'entreprises. Par ailleurs, plusieurs barrières agissent sur cet...

Information in enterprise is, now more than ever, a fundamental resource. In order to increase enterprise performance, economics paradigms focus on how to better manage it. Information Systems (IS) are systems whose activities are devoted to capture and to store data, to process them and produce knowledge, used by any stakeholders within an enterpr...

The grown complexity of the modern enterprise poses a series of challenges, among them keeping competitiveness in the fast changing environment in which the enterprise evolves. Addressing enterprise integration is considered as a key to achieve the goal of any enterprise either it is a single or a networked enterprise. Enterprise modelling is a pre...

140 pages Report for the Post-Doctorate diploma of the Université Henri Poincaré Supervisors: Hervé Panetto and Alexis Aubry

Semantic annotation is one of the useful solutions to enrich target’s (systems, models, meta-models, etc.) information. There are some papers which use semantic enrichment for different purposes (integration, composition, sharing and reuse, etc.) in several domains, but none of them provides a complete process of how to use semantic annotations. Th...

The complexity of the inter-organizational collaboration processes is one of the main concerns of the supply chain management. SCOR (Supply Chain Operation References) process reference model addresses those concerns by providing a process implementation roadmap, consisting of workflows, best practices, systems and performance metrics. In this pape...

The grown complexity of the modern enterprise poses a series of challenges, among them keeping competitiveness in the fast changing environment in which the enterprise evolves. Addressing Enterprise Integration is considered as a key to achieve the goal of any enterprise either it is a single or a networked enterprise. Enterprise Modelling is a pre...

Semantic annotation is one of the useful solutions to enrich target's (systems, models, meta-models, etc.) information. There are some papers which use semantic enrichment for different purposes (integration, composition, sharing and reuse, etc.) in several domains, but none of them provides a complete process of how to use semantic annotations. Th...

In order to increase enterprise performance, economics paradigms focus, now more than ever, on how to better manage information. The modern architecture of information systems is based on distributed networks with a grand challenge representing and sharing knowledge managed by those ISs. One of the main issues in making such heterogeneous Cooperati...

Existing limitations and problems in the current life-cycle of software applications will encourage new development paradigms. New technological trends, aiming at responding to current needs, such as flexibility, dynamicity, scalability, will certainly drive the envisaged changes. In this paper, possible solu-tions for the development and maintenan...

Business Process (BP) transformation is a key aspect of BP lifecycle. There are several reasons that may cause BP modifications. Among these, particu- larly important are the changes of the enterprise organization and operation strategies, which can be captured by business rules (BRs). This work focus on a BP-based organization that is regulated by...