Home CIGI Qualita MOSIM 2025

About the conference

CIGI-QUALITA-MOSIM is intended as a forum for exchange and reflection on topics related to industrial engineering. This conference brings together researchers and practitioners and offers a remarkable opportunity to address challenges, share solutions, and discuss future research and development directions in this field.

The main theme of this edition is Artificial Intelligence and Optimization for Enhancing Performance and Resilience of Systems in X.0 services and industries. A broad participation from both academics and industrials is expected.

In addition to the main theme, this edition covers the following, but not exclusive, topics:
 

• IoT and blockchains for Industry X.0
• Intelligent transportation systems
• Cybersecurity
• Human-centered approaches in Industry X.0
• Additive manufacturing
• Digital innovations for business transformation
• Maintenance, reliability, and safety
• Sustainability in the era of Industry X.0

History of CIGI-QUALITA-MOSIM

CIGI-QUALITA-MOSIM congress is the result of the merger of three major international congresses, addressing a variety of themes dealing with productivity, risk management, quality, dependability, and modeling and simulation, to name but a few of them.

QUALITA Conference was created in 1994, and the International Congress on Industrial Engineering (CIGI) in 1995. These two conferences held their first joint edition in 2019. MOSIM (Conference on Modeling, Optimisation and Simulation), created in 1997, held its 13th edition in 2020 and joined the other two conferences for the first time in 2023 (https://oraprdnt.uqtr.uquebec.ca/portail/gscw031?owa_no_site=6979).

The  merger of the three conferences was annouced during the CIGI-QUALITA congress held in Grenoble in 2021 (https://cigi-qualita21.sciencesconf.org/index.html). For more details on the previous editions see: http://www.simagi.polymtl.ca/congresgi/chronologie.html.

Honorary chairman of the conference

Christian PRINS is since 1999 full professor at the University of Technology of Troyes. He served as the director of the Industrial Engineering department from 2000 to 2005, and as the director of the Laboratory  of Industrial Systems Optimization (LOSI) from 2008 to 2012. Alongside Frédéric SEMET, he founded the working group on transportation and logistics (GT2L), which currently brings together over a hundred researchers working on optimization and performance evaluation issues in logistics and transportation systems.

Christian PRINS received his PhD in 1988 and his habilitation in 1995, both in Computer Science, from Pierre and Marie Curie University. After working as a software engineer at EUTELSAT from 1981 to 1990, he shifted his focus to teaching and research. He became a lecturer at the Institute of Applied Mathematics (IMA) in Angers, France, in 1990, and later at the Ecole des Mines de Nantes in 1993.

Throughout his career, Christian PRINS has made significant contributions to the field of combinatorial optimization and operations research, particularly through his work on vehicle routing problems and metaheuristics.

He has authored 8 books, 20 book chapters, and 84 articles in peer-reviewed journals, and has presented papers at over 94 conferences with published proceedings. He has also supervised 26 theses. According to Harzing's Publish or Perish (February 2024), his h-index is 66.
 

Location

The conference will take place at the University of Technology of Troyes and is organized by the Computer Science and Digital Society Laboratory (LIST3N).
 

Computer Science and Digital Society Laboratory

Computer Science and Digital Society Laboratory (LIST3N) was created in 2021 following the merger of four disciplinary research teams (ERA, LOSI, LM2S, and Tech-CICO). It is structured into four research axes: RECY, which focuses on studying the integration of AI into network infrastructures. OPTI, which specializes in operational research applied to logistics and production systems. MSAD, which concentrates on the development of mathematical models for reliability engineering and the design of algorithms for signal and image processing; and TPRA, which works on technologies for cooperation, interaction, and knowledge.

These axes share a common research focus: digital sciences and data processing, applied to domains such as healthcare, industry, energy, and agriculture. For more details see:: https://recherche.utt.fr/list3n.