World's Best Scientists 2026 revealed!
Liliane Pintelon

Liliane Pintelon

D-Index & Metrics

Business and Management

D-Index
43
Citations
8100
World Ranking
1422
National Ranking
17

Engineering and Technology

D-Index
43
Citations
8237
World Ranking
6089
National Ranking
77

Overview

Liliane Pintelon is affiliated with KU Leuven in Belgium and has a research profile primarily situated in the fields of Engineering, Health Professions, and Decision Sciences. Their academic work spans multiple interrelated subfields, including Radiological and Ultrasound Technology, Statistics, Probability and Uncertainty, Safety, Risk, Reliability and Quality, Industrial and Manufacturing Engineering, and Management Information Systems.

The scientist's research topics prominently focus on Occupational Health and Safety Research, Risk and Safety Analysis, Reliability and Maintenance Optimization, Human-Automation Interaction and Safety, Quality and Safety in Healthcare, Big Data and Business Intelligence, and Quality and Supply Management.

Publications by Liliane Pintelon have appeared frequently in several scientific venues, reflecting a concentration in applied and safety-related research areas. These venues include:

  • Applied Ergonomics
  • Safety Science
  • Reliability Engineering & System Safety
  • Quality and Reliability Engineering International
  • SSRN Electronic Journal

Recent papers provide insight into the focus of their research. Titles include:

  • "Orienting safety assurance with outcomes of hazard analysis and risk assessment: A review of the ISO 15066 standard for collaborative robot systems" (2020, Safety Science)
  • "Identification and classification of risk factors for human-robot collaboration from a system-wide perspective" (2021, Computers & Industrial Engineering)
  • "Definitions, characteristics and measures of IT project complexity - a systematic literature review" (2021, International Journal of Information Systems and Project Management)
  • "The Application of Multicriteria Decision Analysis Methods in Health Care: A Literature Review" (2021, Medical Decision Making)
  • "Integrated remanufacturing, maintenance and spares policies towards life extension of a multi-component system" (2021, Reliability Engineering & System Safety)

Through these publications, the scientist engages in topics that intersect safety standards for robotics, risk factor identification in human-robot collaboration, complexity in IT projects, decision-making methodologies in healthcare, and maintenance strategies for complex systems.

Liliane Pintelon collaborates regularly with a set of frequent co-authors, suggesting an ongoing research network. These include:

  • Peter Chemweno
  • James Wakiru
  • Peter Muchiri
  • Nicole Berx
  • Wilm Decré

Across the 20 years of active research, the scientist has maintained a focus on bridging theoretical and applied elements of safety, reliability, and decision science, contributing insights to both engineering and healthcare domains.

Best Publications

  • A framework for maintenance concept development

    Geert Waeyenbergh;Liliane Pintelon

  • Performance measurement using overall equipment effectiveness (OEE): literature review and practical application discussion

    Peter Muchiri;Liliane Pintelon

  • Production lot sizing with machine breakdowns

    Harry Groenvelt;Liliane Pintelon;Abraham Seidmann

  • An empirical investigation on the relationship between business and maintenance strategies

    Srinivas Kumar Pinjala;Liliane Pintelon;Ann Vereecke

  • Joint maintenance and inventory optimization systems: A review

    Adriaan Van Horenbeek;Jasmine Buré;Dirk Cattrysse;Liliane Pintelon

  • A dynamic predictive maintenance policy for complex multi-component systems

    Adriaan Van Horenbeek;Liliane Pintelon

  • Maintenance management decision making

    L.M. Pintelon;L.F. Gelders

  • Development of maintenance function performance measurement framework and indicators

    Peter Muchiri;Liliane Pintelon;Ludo Gelders;Harry Martin

  • Development of a maintenance performance measurement framework—using the analytic network process (ANP) for maintenance performance indicator selection

    Adriaan Van Horenbeek;Liliane Pintelon

  • Evaluating the effectiveness of maintenance strategies

    Liliane Pintelon;Srinivas Kumar Pinjala;Ann Vereecke

  • EOQ Type Formulations for Controlling Repairable Inventories

    Marilyn C. Mabini;Liliane M. Pintelon;Ludo F. Gelders

  • Measuring the logistics performance of internal hospital supply chains – A literature study

    Karen Moons;Geert Waeyenbergh;Liliane Pintelon

  • Production batching with machine breakdowns and safety stocks

    Harry Groenvelt;Liliane Pintelon;Abraham Seidmann

  • A refined typology of Product-Service Systems based on Functional Hierarchy Modeling

    Joris Van Ostaeyen;Adriaan Van Horenbeek;Liliane Pintelon;Joost R. Duflou

  • Development of a risk assessment selection methodology for asset maintenance decision making: An analytic network process (ANP) approach

    Peter Kipruto Chemweno;Liliane Pintelon;Adriaan Van Horenbeek;Peter Ngang'a Muchiri

  • Maintenance optimization models and criteria

    Adriaan Van Horenbeek;Liliane Pintelon;Peter N. Muchiri

  • Maintenance concept development: A case study

    Geert Waeyenbergh;Liliane Pintelon

  • A review on lubricant condition monitoring information analysis for maintenance decision support

    James M. Wakiru;James M. Wakiru;Liliane Pintelon;Peter N. Muchiri;Peter K. Chemweno

  • Book reviewRisk: Analysis, assessment and management: Wiley, Chichester, 1992, 220 pages, £24.95

    Liliane Pintelon

  • Criticality classification of spare parts: A case study

    An Molenaers;An Molenaers;Herman Baets;Liliane Pintelon;Geert Waeyenbergh;Geert Waeyenbergh

  • Maintenance: An Evolutionary Perspective

    Liliane Pintelon;Alejandro Parodi-Herz

Frequent Co-Authors

Joost Duflou
Joost Duflou KU Leuven
Ali Azadeh
Ali Azadeh University of Tehran
Dirk De Ridder
Dirk De Ridder University of Otago
Jan Mendling
Jan Mendling Humboldt-Universität zu Berlin
Vincent Thijs
Vincent Thijs Florey Institute of Neuroscience and Mental Health
Abraham Seidmann
Abraham Seidmann Boston University
Paul Grefen
Paul Grefen Eindhoven University of Technology

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