<  Back to the Polytechnique Montréal portal

Development and usability evaluation of VulcanH, a CMMS prototype for preventive and predictive maintenance of mobile mining equipment

Simon Robatto Simard, Michel Gamache and Philippe Doyon-Poulin

Article (2024)

Open Acess document in PolyPublie and at official publisher
Open Access to the full text of this document
Published Version
Terms of Use: Creative Commons Attribution
Download (6MB)
Show abstract
Hide abstract


This paper details the design, development, and evaluation of VulcanH, a computerized maintenance management system (CMMS) specialized in preventive maintenance (PM) and predictive maintenance (PdM) management for underground mobile mining equipment. Further, it aims to expand knowledge on trust in automation (TiA) for PdM as well as contribute to the literature on explainability requirements of a PdM-capable artificial intelligence (AI). This study adopted an empirical approach through the execution of user tests with nine maintenance experts from five East-Canadian mines and implemented the User Experience Questionnaire Plus (UEQ+) and the Reliance Intentions Scale (RIS) to evaluate usability and TiA, respectively. It was found that the usability and efficiency of VulcanH were satisfactory for expert users and encouraged the gradual transition from PM to PdM practices. Quantitative and qualitative results documented participants’ willingness to rely on PdM predictions as long as suitable explanations are provided. Graphical explanations covering the full spectrum of the derived data were preferred. Due to the prototypical nature of VulcanH, certain relevant aspects of maintenance planning were not considered. Researchers are encouraged to include these notions in the evaluation of future CMMS proposals. This paper suggests a harmonious integration of both preventive and predictive maintenance practices in the mining industry. It may also guide future research in PdM to select an analytical algorithm capable of supplying adequate and causal justifications for informed decision making. This study fulfills an identified need to adopt a user-centered approach in the development of CMMSs in the mining industry. Hence, both researchers and industry stakeholders may benefit from the findings.

Uncontrolled Keywords

preventive maintenance; predictive maintenance; computerized maintenance management system; usability; trust in automation

Subjects: 1400 Mining and mineral processing > 1400 Mining and mineral processing
2700 Information technology > 2700 Information technology
2700 Information technology > 2706 Software engineering
2800 Artificial intelligence > 2800 Artificial intelligence (Computer vision, see 2603)
Department: Department of Mathematics and Industrial Engineering
Funders: Fonds de recherche du Québec - Nature et technologies (FRQ-NT)
Grant number: 2020-MN-281330
PolyPublie URL: https://publications.polymtl.ca/58347/
Journal Title: Mining (vol. 4, no. 2)
Publisher: MDPI
DOI: 10.3390/mining4020019
Official URL: https://doi.org/10.3390/mining4020019
Date Deposited: 17 May 2024 11:13
Last Modified: 03 Jun 2024 10:52
Cite in APA 7: Robatto Simard, S., Gamache, M., & Doyon-Poulin, P. (2024). Development and usability evaluation of VulcanH, a CMMS prototype for preventive and predictive maintenance of mobile mining equipment. Mining, 4(2), 326-351. https://doi.org/10.3390/mining4020019


Total downloads

Downloads per month in the last year

Origin of downloads


Repository Staff Only

View Item View Item