Artículo

Maintenance policies and models: A bibliometric and literature review of strategies for reuse and remanufacturing

Resumen

Reuse and remanufacturing have been widely studied in the maintenance related literature due to the imperative of preserving resources and protecting the environment. To provide researchers with a holistic view of the existing research, there is a need to check how relevant methods have been developed. This paper undertakesa bibliometric analysis and a comprehensive literature review of maintenance policies and models that deal with reuse or remanufacturing as sustainable strategies. A total of 581 papers collected from Web of Science, Scopus, and IEEE Xplore databases were analysed. 53 of them were chosen for further investigation after four selection criteria were applied. The bibliometric analysis provided a general understanding of the publication trends while the literature review built a taxonomy that organises the related literature under the dimensions of models, businesses, and sustainable strategies, which creates novelty in the maintenance-sustainability related literature. The main contribution is the classification of related papers and identification of the main knowledge gaps, including the neglect of the environmental and social aspects of sustainability vis-à-vis the prioritisation of an economic perspective.
Hidayat, Erwin Yudi (57205439013); Hastuti, Khafiizh (56485990500); Muda, Azah Kamilah (23390362900)
Artificial intelligence in digital image processing: A bibliometric analysis
2025
10.1016/j.iswa.2024.200466
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85212984349&doi=10.1016%2fj.iswa.2024.200466&partnerID=40&md5=14c2a82f6cb46e9efa80c050fc79c24f
Faculty of Computer Science, Universitas Dian Nuswantoro, Semarang, 50131, Indonesia; Dinus Research Group for AI in Medical Science (DREAMS), Universitas Dian Nuswantoro, Semarang, 50131, Indonesia; Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka, Melaka, 76100, Malaysia
All Open Access; Gold Open Access
Scopus
Artículo obtenido de:
Scopus
0 0 votos
Califica el artículo
Subscribirse
Notificación de