Article (Scientific journals)
Identification of Criteria for Enabling the Adoption of Sustainable Maintenance Practice: An Umbrella Review
Vasić, Stana; OROSNJAK, Marko; Brkljač, Nebojša et al.
2024In Sustainability (Switzerland), 16 (2), p. 767
Peer reviewed
 

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Keywords :
Bayesian network analysis; Industry 4.0; Industry 5.0; sustainability maintenance; sustainable maintenance; systematic literature review; umbrella review; Computer Science (miscellaneous); Geography, Planning and Development; Renewable Energy, Sustainability and the Environment; Environmental Science (miscellaneous); Energy Engineering and Power Technology; Hardware and Architecture; Computer Networks and Communications; Management, Monitoring, Policy and Law
Abstract :
[en] The evolution from traditional industrial maintenance to sustainable maintenance (SM) is pivotal within an existing industrial ecosystem. This study, utilising an umbrella review (UR), critically examines this transition, highlighting its increased importance in maintenance decision-making (MDM). Using a sample (n = 20) of reviews, we synthesised meta-, methodological-, and content-based evidence and performed bibliometric, thematic and statistical analyses. For the bibliometric and thematic/conceptual analyses, we used the R bibliometrix package. The results show that the early research focuses mainly on theoretical aspects, while recent studies examine the practical implications. Also, comprehensive studies evaluating the benefits of implementing environmental and social aspects within MDM are still lacking. For that reason, we switched the attention to content-based data, from which we identified 43 distinct criteria discussed. For the analysis of criteria, the Bayesian Network Analysis with Gaussian Copula Graphical Model (BNA-GCGM) method was used. Although the evidence shows that environmental pollution, energy consumption and health and safety of workers are the most discussed criteria, the BNA-GCGM suggests that labour costs, resource consumption, employee satisfaction and energy consumption, among others, are the most influential criteria in the network analysis. Interestingly, after distinguishing studies into pre- and post-2021 research, the results show that pre-2021 research is primarily focused on economic and technical factors, reflecting a profit-oriented approach. The post-2021 analysis suggests a discernible shift towards more balanced considerations by incorporating social and environmental factors, suggesting a more socially responsible approach. Finally, while SM is gaining momentum, further empirical and practical research are required to demonstrate the advantages that SM offers in the light of the upcoming Industry 5.0.
Precision for document type :
Review article
Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
Vasić, Stana ;  University of Novi Sad, Faculty of Technical Sciences, Department of Industrial Engineering and Engineering Management, Novi Sad, Serbia
OROSNJAK, Marko  ;  University of Novi Sad, Faculty of Technical Sciences, Department of Industrial Engineering and Engineering Management, Novi Sad, Serbia
Brkljač, Nebojša;  University of Novi Sad, Faculty of Technical Sciences, Department of Industrial Engineering and Engineering Management, Novi Sad, Serbia
Vrhovac, Vijoleta ;  University of Novi Sad, Faculty of Technical Sciences, Department of Industrial Engineering and Engineering Management, Novi Sad, Serbia
Ristić, Kristina;  University of Novi Sad, Faculty of Technical Sciences, Department of Industrial Engineering and Engineering Management, Novi Sad, Serbia
External co-authors :
yes
Language :
English
Title :
Identification of Criteria for Enabling the Adoption of Sustainable Maintenance Practice: An Umbrella Review
Publication date :
2024
Journal title :
Sustainability (Switzerland)
ISSN :
2071-1050
eISSN :
2071-1050
Publisher :
Multidisciplinary Digital Publishing Institute (MDPI)
Volume :
16
Issue :
2
Pages :
767
Peer reviewed :
Peer reviewed
Available on ORBilu :
since 20 December 2024

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