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Primavera Project
Top Posts
Maintenance PhD and MSc Thesis Award!
Smarter Together! Looking back on an inspiring World...
WCM Annual Event 2025 – Together with PrimaVera
PhD Defence Lisandro Jimenez Roa | Reliability and...
PhD Defence Ragnar Eggertsson | Advances in Asset...
PhD Defence Bram Ton | Point Taken –...
Bram Ton on Making Rail Maintenance More Sustainable...
Dr. Frans Oliehoek – Reinforcement Learning: State of...
Gwen Qin starts as a PhD student for...
Evie Hendriks Wins WCM Maintenance Award
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    • PrimaVera Framework >
      • Data acquisition
      • Data processing and diagnosis
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      • Maintenance optimization
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    • Industry >
      • Infrastructure
      • Manufacturing
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      • Demonstrator
      • All
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      • Deployment
      • Development
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    • Target Implementation >
      • Component/maintainable item
      • Equipment Unit
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      • Part
      • Plant/unit
      • Section/System
      • Subunit
Top Posts
Maintenance PhD and MSc Thesis Award!
Smarter Together! Looking back on an inspiring World...
WCM Annual Event 2025 – Together with PrimaVera
PhD Defence Lisandro Jimenez Roa | Reliability and...
PhD Defence Ragnar Eggertsson | Advances in Asset...
PhD Defence Bram Ton | Point Taken –...
Bram Ton on Making Rail Maintenance More Sustainable...
Dr. Frans Oliehoek – Reinforcement Learning: State of...
Gwen Qin starts as a PhD student for...
Evie Hendriks Wins WCM Maintenance Award
Primavera Project
Primavera Project
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    • Browse catalogue
    • PrimaVera Framework >
      • Data acquisition
      • Data processing and diagnosis
      • Decisions
      • Human and organizational factors
      • Maintenance optimization
      • Prognostics
    • Industry >
      • Infrastructure
      • Manufacturing
      • Defence
      • Demonstrator
      • All
    • Product Readiness >
      • Deployment
      • Development
      • Discovery
    • Target Implementation >
      • Component/maintainable item
      • Equipment Unit
      • Industry
      • Part
      • Plant/unit
      • Section/System
      • Subunit

Human Factors Framework for Maintenance

Framework that provides an approach to studying human factors in a maintenance environment by conceptualizing how changes to an employee’s working context affect their job, behavior, and subsequent performance.

  • Comprehensive tool to analyze the impact of PdM implementation on maintenance employees.
  • Tested in three case studies and on theory.
  • Organizations that struggle with implementing PdM due to employee resistance may use this framework to understand this resistance.
Category: Human & Organizational Factors
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  • Description
  • Details
Performance, cost, and risk

What are the performance, cost, and risk impacts of implementing this product?

  • Performance: Potential to improve working conditions for employees and their use of maintenance technology, improving motivations and decision-making quality.
  • Cost: Cost-free methodology, only the time spent on the analysis by employees.
  • Risk: Focuses on subjective human experiences, cannot objectively assess the quality of technology or maintenance procedures.
Implementation requirements

What capabilities would a business/organization/institution need to have to implement this product?

  • Processes: Any decision-making process where maintenance employees are involved can be investigated with this framework.
  • Resources: Researchers, HR employees, managers, or senior employees should be able and allowed to spend some time on applying the framework and analyzing its outcomes.
  • Competences: Some degree of employee autonomy is required, and an organizational focus on employee well-being is needed to facilitate the framework.
  • Technologies: None required.
Related works
  • Van Oudenhoven, et al. (2025). Preparing for predictive maintenance: Employee perspectives on job demands and resources before and after its implementation
  • Van Oudenhoven, et al. (2023). Predictive maintenance for industry 5.0: behavioural inquiries from a work system perspective
  • Vermeulen (2024). On the way to effective data ambassadors: A post-intervention analysis
Contact information

For further inquiries regarding this product, feel free to get in touch with:

  • Rob Basten, Eindhoven University of Technology. r [dot] j [dot] i [dot] basten [at] tue [dot] nl
  • Philippe Van de Calseyde, Eindhoven University of Technology. p [dot] p [dot] f [dot] m [dot] v [dot] d [dot] calseyde [at] tue [dot] nl
  • Bas van Oudenhoven, Eindhoven University of Technology. b [dot] v [dot] oudenhoven [at] tue [dot] nl
Industry / demonstrator: All

PrimaVera Framework: Human & Organizational Factors

Product Readiness (TRL): Deployment

Target Implementation Level: Industry

Related products

  • PrimaVera Product Catalogue

    PrimaVera Product Catalogue

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      • Consortium Meeting (February 2023)
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      • Consortium Meeting (June 2024)
      • Consortium Meeting (October 2025)
  • News
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  • Colloquium
  • Datasets
  • Catalogue
    • Browse catalogue
    • PrimaVera Framework >
      • Data acquisition
      • Data processing and diagnosis
      • Decisions
      • Human and organizational factors
      • Maintenance optimization
      • Prognostics
    • Industry >
      • Infrastructure
      • Manufacturing
      • Defence
      • Demonstrator
      • All
    • Product Readiness >
      • Deployment
      • Development
      • Discovery
    • Target Implementation >
      • Component/maintainable item
      • Equipment Unit
      • Industry
      • Part
      • Plant/unit
      • Section/System
      • Subunit

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