Plenary sessions

Industry 5.0: Challenges and opportunities

Prof. Olga BATTAIA

Summary :

In 2020, under the coordination of the Directorate "Prosperity" of the DG Research and Innovation of the European Commission, the paradigm of Industry 5.0 has been elaborated. This framework aims to make industry more sustainable, resilient, and human-centric. Building on the technological advancements and digitalization foundational to Industry 4.0, Industry 5.0 emphasizes a shift toward placing humans at the core of industrial transformation, with a dedicated focus on achieving sustainable outcomes and fostering a resilient environment. This presentation critically explores the perception of Industry 5.0 concepts within both academic and practical contexts, highlighting the challenges it presents and the opportunities it offers.

Biography :

Prof. Olga Battaïa has a Senior Professor position in Department of Operations Management and Information Systems at Kedge Business School. She has been Associate Dean for Research at Kedge Business School since 2020. She serves as Associated Editor for several international peer-reviewed journals, including the Journal of Manufacturing Systems, IISE Transactions (Institute of Industrial and Systems Engineers) and Omega-the International Journal of Management Science. She is an Associate Member of the International Academy for Production Engineering (CIRP) and a Member of IFAC Technical Committee 5.2. Management and Control in Manufacturing and Logistics. Her research interests lie in the domains of Supply Chain Management, Industry 4.0, Sustainable manufacturing, Business Analytics, Decision Support Systems.

Olga Battaïa co-authored more than 250 scientific publications and supervised or co-supervised 18 PhD and DBA students. During last 5 years, she coordinated and participated in such research projects as: European project “RISE MAIA - Models and Methods for an Active Ageing Workforce: an International Academy”, “Design and management of reconfigurable and sustainable manufacturing systems” (Reconfidurable), “Design of spatio-temporal networks in stochastic and dynamic environment: new mathematical models and optimization approaches “ (DESIDE) and “Planning and flexible work assignment to operators in aeronautic assembly lines: a systemic approach for addressing ergonomic and economic risks” (PER4MANCE) funded by the French National Research Agency, and “Sustainable Personnel Planning in Highly Customized Assembly Lines with Work Sharing” (SUPERPLAN)  funded by German Research Agency (DFG). She was invited to present her research at several renowned international conferences and universities in Europe, Africa, America, Asia, and Australia.

Emerging technologies for predictive maintenance in Industry 5.0: Towards a new form of Human/Machine cooperation ... with a potential impact on health and safety in the workplace

Prof. Benoit IUNG

Summary :

Whereas Industry 4.0 focused primarily on the automation and digitization of industrial processes, Industry 5.0 is not a paradigm replacing the latter, but rather an evolving paradigm advocating a resolutely "human-centric" approach by integrating social, environmental and resilience considerations [1]. In this sense, Industry 5.0 puts people back at the center of concerns, giving them a major role to play. This is built on competitive human/machine collaboration, based as it is on an adapted synergy between human skills and machine capabilities. In this collaboration, technology must serve man, not the other way round. This is all the more true in innovative industrial fields such as predictive maintenance, where confidence in anticipatory decision-making (e.g. based on RUL) is essential to maintain system performance [2]. Consequently, in this field in particular, conventional technologies are being supplemented by technologies such as Artificial Intelligence or even generative AI, conversational agents, IIoT, AR/VR, etc.
Most of these technologies are emerging [3] because, among other things, they are in the process of being put to new uses, and require more or less lengthy learning periods, e.g. with regard to operational analysis of the system's state of health, or optimal deployment of the maintenance action decided upon. This leads human-machine configurations in phases which, at best, can be "enabling" configurations, but in more difficult cases "alienating" configurations [4]. This raises a number of questions, an important one of which is to assess the impact of these configurations (work situations) in the field of predictive maintenance on the fundamentals of occupational health and safety (OHS) [5]. Are new risks created, are existing risks aggravated or displaced, are existing risks eliminated... Answers to these questions are essential in order to consider, if need be, the precautions to be taken to protect employees' OHS, and to support the deployment of predictive maintenance in the service of Industry 5.0 with complete peace of mind.
1 - J. Yang et al, 2024. Human-machine interaction towards Industry 5.0: Human-centric smart manufacturing. Digital engineering, 2, /doi.org/10.1016/j.dte.2024.100013.
2 - M.E. Bobillier Chaumon, 2021. Emerging technologies and digital transformations of activity: issues for activity and health at work. Psychologie du travail et des organisations. 27, pp 17-32.
3- Aitzaz Ahmed Murtaza et al, 2024. Paradigm shift for predictive maintenance and condition monitoring from Industry 4.0 to Industry 5.0: A systematic review, challenges and case study, Results in Engineering, 24, /doi.org/10.1016/j.rineng.2024.102935
4- Study of the impact of AI on work. General summary of the LaborIA Explorer survey report. https://www.laboria.ai/
5 - N. Tarhouny, 2025. AI and OHS - An impact study is absolutely essential. Face au risque - Le média de référence des responsables de la sécurité (605 - janvier/février 2025) - https://www.faceaurisque.com/2025/01/15/ia-sst-etude-impact-interview-nina-tarhouny/

Biography :

Benoît IUNG is full Professor of Prognostics and Health Management (PHM) at Lorraine University (France). He conducts research at the Nancy Research Centre for Automatic Control (CRAN, CNRS UMR 7039) where he is deputy director since 2024. His research and teaching areas are related to advance maintenance engineering, PHM, predictive maintenance technologies, condition monitoring, cyber-physical production system (CPPS) and Industry of the Future. In relation to these topics, he took scientific responsibility for the participation of CRAN in a lot of national, European (i.e. REMAFEX, DYNAMITE) and international projects, for example, with China (i.e. EIAM-IPE, CENNET), Chile (i.e. iMaPla) and Brazil (i.e. COFECUB frame). He was the coordinator of the European project AI-PROFICIENT (call ICT-38; 2020-2023; AI for Manufacturing) and an academic actor in current MODAPTO (2023-2025) European project. He has numerous collaborations with industry in the frame of Convention for Research Program (mainly in France with EDF, CEA, RENAULT, ARCELORMITTAL, SEW USOCOME, SCHNEIDER ELECTRIC) and served until 2018, as responsible of a common Lab called PHM-FACTORY with PREDICT company (ANR LabCOM). He was the IFAC CC5 chair (July 2020 - July 2023) addressing Cyber-Physical Manufacturing Enterprises issues and previously the chair of the IFAC TC5.1 (2017-2020). He was until 2014 the chair of the IFAC WG A-MEST on advanced maintenance, and until 2020, the chair of the ESRA TC on Manufacturing. He is a French CIRP fellow since 2017, a PHM society fellow from 2018, a founding Fellow to the ISEAM and to the European IAM Academic and Research Network, a nominated member of the IFAC TC 5.1. and TC 5.3. He had also a guest position in the NSF research centre for IMS (Univ. of Cincinnati; until end of 2017) and is currently Visiting Professor (Foreigner expert project) at Tongji University (Shanghai, China). He serves as project manager on “Industry of the Future” for the University of Lorraine since 2016 (e.g., European strategy committee; thematic community) which allows him to be involved in EFFRA and A.SPIRE European associations. Benoît Iung has (co)-authored over 300 scientific papers (Hindex 41; Google Scholar) and several books including the first e-maintenance book in Springer. He developed several keynote speeches on PHM, Predictive maintenance/control in international conferences and attended as reviewer, faculty opponent or examiner for a lot of Ph. D. and “docent” defenses in France and in Europe/World (UK, Belgium, Netherlands, Norway, Spain, Sweden, Germany, Poland and Italy; India). He has supervised until now 24 Ph. D. Students (+ 4 in progress). He served as IPC member of various IEEE, CIRP and IFAC conferences (more than 200) and developed expertise/reviewing for European Commission and EiT in the frame of H2020 / Horizon Europe from 2015. He is also monitoring expert for EC and included in the FWO Review College (panels 2023 – 2025). He is cited, since 2019, in the “Top 2% Scientistic” from the publicly available database of 100,000 top-scientists (up-dated science-wide author databases of standardized citation indicators). He is an Editor of the IFAC Journal of Systems and Control. Benoît IUNG received his B.S., M.S. and Ph.D. in Automatic Control, Manufacturing Engineering and Automation Engineering, respectively, from Lorraine University, and an accreditation to be research supervisor (2002) from this same University.

https://scholar.google.com/citations?user=8OZNIrUAAAAJ&hl=en.

Digital Transformation, not without an adequate culture!

Successes and limitations of an operable model for a governable organizational culture in a volatile, uncertain, and highly digitized environment.

Dr. Karim HEDEOUD-PERROT, Dr. Gabriel ROUSSEAU, Prof. Abdessamad KOBI

Summary:

The integration of technologies and the mastery of digital practices in economic, social, societal, and environmental activities represent both immense opportunities and significant constraints for any type of organization and its human collective.

To turn these opportunities and constraints into sustainable positive impact, organizations have no choice but to produce and exchange value in networks within interoperable ecosystems. Creating, delivering, capturing this value, and organizing as an ecosystem capable of scaling is only possible and optimal through digital means.

However, digital transformation does not refer to a strictly technological change but rather to all managerial, organizational, and above all, human changes that occur directly or indirectly due to the integration of digital or digitizable technologies.

Yet, the primary factor behind the failure of organizational transformation initiatives is the culture of its human collective. While the investment in processes and methods for value production is undeniable, culture remains a poorly understood lever, perceived as difficult to manage and hindering the deployment of any change initiative.

However, the cultural fundamentals of an organization, their mechanisms, and their evaluations are well known and allow culture to become a "reasonably" governable strategic asset and a catalyst for ongoing transformation. The condition is to not treat the women and men within the organization’s social body as machines but rather as a complex, adaptive, and unique social system and act accordingly.

Biographies :

Karim HEDE OUD-PERROT is the co-founder of IMPACTEEV, a Luxembourg-based holding that orchestrates an ecosystem of companies dedicated to producing and exchanging value within organizations and facilitating their transformation through digital means while promoting sustainable positive impact. With 25 years of experience, mainly in business initiatives with a strong digital and organizational component, Karim has led numerous international programs and projects in high-stakes environments (finance, banking, energy, space defense, military industry, education).

 Today, he focuses on coordinating digital transformation and ecosystem interoperability using a qualitative and quantitative anthropological approach to human collectives. He has also been teaching in universities, schools, and professional settings for 20 years.



Gabriel ROUSSEAU has been a leader in AI-based decision-making for 15 years. As the product manager for IBM Decision and IBM Watsonx Orchestrate technologies, Gabriel leads the creation of the next generation of neuro-symbolic AI. As the head of IBM France’s Lab in Sophia-Antipolis, a member of the Industrial Research Council for Artificial Intelligence, and a part-time Associate Professor at Polytech Angers, Gabriel has established strong partnerships with leading universities, companies, and researchers in the fields of AI and digital transformation.

Gabriel holds a postgraduate degree in applied mathematics for scientific computing, a management certificate from Stanford, and IBM Thought Leader Project Manager and Agile Thought Leader certifications.

Abdessamad KOBI is a university professor at Polytech Angers/University of Angers and a member of the Reliability and Decision Support team at the LARIS laboratory.

He holds a Ph.D. in Automation from INPL and a HDR (Habilitation à Diriger les Recherches) from the University of Angers in Optimization and Control of Industrial Processes. His research focuses on quality, Lean Six Sigma, optimization, and process control and reliability.

Artificial Intelligence : Revolution and Innovation for Industry.

Prof. Lionel AMODEO, Prof. Abdelkhalak EL HAMI.

Summary:

This track explores the impact of AI on industry, how it's transforming production processes, supply chains, predictive maintenance, and much more. We'll discuss practical applications, social and environmental challenges, opportunities and the future of AI in the industrial sector. Several issues are central to this important and wide-ranging topic: How AI integrates and optimizes industrial production through the Internet of Things (IoT), robotics and automation ; how AI systems are revolutionizing inventory management, demand forecasting and supply chain management; how the Integration of AI into quality control processes can ensure products meet standards; how AI helps analyze complex data to guide strategic decisions in industries; but also what are the ethical challenges of AI, including data management, algorithm liability and employment impacts.
This track will consist of several sessions, depending on the number and topics covered. However, we can envisage sessions on AI and industrial production, AI and forecasting and inventory management, AI and quality control processes and the ethics of AI in data management.


A panel discussion will feature AI experts, business leaders and decision-makers, and entrepreneurs.