13th IMA International Conference on Modelling in Industrial Maintenance and Reliability MIMAR2025

Call for Papers

MIMAR is the premier maintenance and reliability modelling conference. It is an excellent international forum for disseminating information on the state-of-the-art research, theories and practices in maintenance and reliability modelling and offers a platform for connecting researchers and practitioners from around the world. For further information on the conference, including instructions for authors, please visit the conference webpage:
13th IMA International Conference on Modelling in Industrial Maintenance and Reliability (MIMAR2025)
Presentations are encouraged on theory or application of maintenance and reliability:
• Maintenance and reliability modelling
• Reliability and maintenance engineering
• Degradation modelling and reliability assessment
• Digital twin for reliability and maintenance
• Predictive maintenance modelling and application
• Machine learning and data analysis in reliability and maintenance engineering
• Reinforcement learning for maintenance decision-making and optimization
• Prognostics and health management
• Awareness health control
• Safety, Security and Risk and management
• Fault detection and diagnosis
• Expert elicitation
• Operational research
• Production planning and control
• Quality control and management
• Resilience engineering
• Sustainability
• Systems modelling and simulation
• Life cycle/performance analysis

Publication

Conference Proceedings: all full paper submissions will be peer reviewed and accepted papers will appear in the conference proceedings. The conference proceedings will be indexed by DOI system.
Special Issue: delegates are invited to submit papers to Special Issues in journal of management mathematics and journal of safety and reliability, guest edited by the conference chairs. Papers will be subject to the standard peer review processes of the journal. A paper submitted to the Special Issue cannot be the same as a paper published in the conference proceedings.

Special session submissions: Please send your special session proposal(s) to the conference chair by 15th December 2024. The template for special session proposal can be downloaded here: Template for MIMAR2025 special session

Abstract and full paper submissions: Easy chair link – https://easychair.org/conferences/?conf=mimar2025

Extended abstract submission template – MIMAR25 extended abstract_template MIMAR full paper template 2025 – April 2025

Proposal of special sessions by 15 December 2024
Abstracts submission by 17 February 2025 (extended deadline: 15 March 2025)
Notification of abstract acceptance by 17 March 2025 (extended deadline: 24 March 2025)
Optional full paper submission by 15 April 2025
Final deadline for acceptance for conference proceedings by 16 June 2025

IMechE Safety and Reliability Group prize for Best Contribution by Early Career Professional

Anouck Vercammen, Robert Boute and Brammert Termont were awarded the IMechE Safety and Reliability Group prize for Best Contribution by Early Career Professional at the 13th MIMAR, which took place on 8 June – 10 July, 2025.

The presentation was on An Actuarial Approach to Data-Driven Warranty Pricing.

Keynote Speakers

Prof Shaomin Wu, University of Kent (UK)

From theory to practice: the process of optimisation of preventive maintenance policies

Numerous preventive maintenance policies have been published in the reliability and maintenance literature. Nevertheless, few examples on the application of preventive maintenance policies have been reported. The reasons are various, mainly because it is notoriously difficult to collect failure data. As a result, many developed maintenance policies divorce from the ground truth and are therefore inapplicable. This talk discusses some possible methods to shed some light on such problems. We tackle the challenge from a perspective of estimating system reliability based on sparse data and integrating various uncertainties in optimisation of maintenance policies. The uncertainties are stemmed from the uncertainty of parameter estimation on samples of small size, model specification uncertainty, and cost information uncertainty.

Dr Thomas Guillon, Senior Expert R & D, RTE (France)

Asset management and reliability theory for infrastructure managers. Some key challenges in moving from science to industry practice: open problems, knowledge transfer and standardization.

Infrastructure managers face crucial investment decisions in the context of the ecological and energy transition, as well as the aging of assets installed decades ago. They are increasingly constrained by budgets, workforce, skills, planned outages, supply chain tensions, and financing. Risk science and reliability theory methods provide a solid foundation for informing investment decisions for asset renewal and the development of new infrastructures. However, adopting these methods also requires organizational transformations, adequate data, and specific skills that are not part of the core business of infrastructure managers. This lecture presents the current state of industrial practices, the main scientific challenges, knowledge transfer issues, and the role of standardization in supporting these transformations.

Prof Antoine Grall, University of Technology of Troyes (France)

Stochastic Approaches for Optimizing Maintenance of Continuously Degrading Systems in the Era of AI: Are they still Relevant?

Over the past 30 years, numerous papers have been published in the maintenance literature focusing on the maintenance of continuously deteriorating systems. A wide range of models have been proposed and developed to optimize maintenance decision-making for condition-based, predictive, or prescriptive maintenance. Recently, AI-based approaches have gained significant popularity. These methods show great promise for addressing a broad spectrum of problems and do not require theoretical hypotheses. In contrast, some maintenance models, particularly those dealing with continuous degradation spaces, rely on analytical developments grounded in the stochastic description of maintained systems. This talk focuses on this latter category of models, providing illustrative examples and exploring the advantages and drawbacks of this modeling framework for new developments. It discusses the contexts in which it can prove indispensable, in complementarity with other modeling frameworks e.g. in relation to sample sizes and data quality.

Conference Fees

Conference Fee – IMA Member £319
Conference Fee – Non-Member £395
Conference Fee – Student IMA Member £259
Conference Fee – Student Non-Member £269

Includes your entry to the conference for all days as well as refreshments and lunches.

Please note- this does not include accommodation, additional meals or the Gala Dinner.

Please register for the conference via:
https://my.ima.org.uk/

The conference will be held at Université de Lorraine: 2 Av. de la Forêt de Haye, 54500 Vandœuvre-lès-Nancy

Conference venue and means of transport

A Gala Dinner will be hosted on the 9th July at The Grand Café Foy Restaurant (19:30) at £60 per head.

Please register for the dinner via:
https://my.ima.org.uk/

Locations and details to follow

Hotel accommodation

We recomend the following Hotels for your stay:

Ibis Nancy Brabois, All. de Bourgogne, 54500 Vandœuvre-lès-Nancy, France

Organising committee

Phuc Do, Chair (Université de Lorraine, France)
Rasa Remenyte-Prescott, Co-Chair (University of Nottingham, UK)
Nicolae Brinzei, Co-Chair (University of Lorraine, France)

Scientific committee

Philip Scarf (University of Swansea, UK)
Christophe Bérenguer (Grenoble INP, France)

Programme committee

Babakalli Alkali (Glasgow Caledonian University, UK)
John Andrews (University of Nottingham, UK)
Fazel Ansari (TU Wien, Austria)
Anne Barros (CentraleSupelec, France)
Maria Dolores Berrade Ursúa (Universidad de Zaragoza, Spain)
Emannuel Borgonovo, Bocconi University, Italy
Inma Castro (Universidad de Extremadura, Spain)
Cristiano Cavalcante (Federal University of Pernambuco, Brazil)
David Coit (Rutgers University)
Frank Coolen (Durham University, UK)
Rommert Dekker (Erasmus University, Netherlands)
Sarah Dunnett (Loughborough University, UK)
Richard Dwight (University of Wollongong, Australia)
Paolo Gardoni (University of Illinois Urbana-Champaign, US)
Antoine Grall (University of Technologies de Troyes, France)
Geert van Houtum (Technische Universiteit Eindhoven, Netherlands)
Lisa Jackson (Loughborough University, UK)
Renyan Jiang (Changsha University of Science & Technology, China)
Abdelhakim Khatab (University of Lorraine, France)
Vytis Kopustinskas (Joint Research Centre, Italy)
Chi-Guhn Lee (University of Toronto, Canada)
Yan-Fu Li (Tsinghua University, China)
Mitra Fouladirad (Centrale Marseille, France)
Marcos Orchard (University of Chile)
Edoardo Patelli (University of Strathclyde, UK)
Ed Pohl (University of Arkansas, USA)
Darren Prescott (University of Nottingham, UK)
Elena Zaitseva (University of Žilina, Slovakia)
Adriano de Polpo (University of Western Australia, Australia)
Jin Wang (Liverpool John Moores University, UK)
Ming J Zuo (University of Alberta, Canada)
Shaomin Wu (University of Kent, UK)
Vitaly Levashenko (University of Žilina, Slovakia)
Alexandre Voisin (University of Lorraine, France)
Min Xie (City University, Hong Kong)