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Review and Framework for Data-Driven Joint Predictive Maintenance and Inventory of Spare Parts.

Authors :
Kenaka, Saskia Puspa
Raja, Andi Cakravastia
Ma’ruf, Anas
Bahagia, Senator Nur
Source :
Proceedings of the International Conference on Industrial Engineering & Operations Management; 9/12/2023, p240-249, 10p
Publication Year :
2023

Abstract

Predictive maintenance is one of the developments of maintenance activities to ensure the continuity of the production process, especially for companies with continuous production processes. However, predictive maintenance activities require support from other departments, one of which is the availability of spare parts. This study conducted an indepth analysis of 11 previous studies regarding joint or integration in predictive maintenance. Based on the results of the research, it is known that only a few joint or integration models in predictive maintenance are included in the use of a data-based approach to utilize data collected in real-time. Furthermore, this study proposes a framework that can be used in developing a data-driven joint predictive maintenance and inventory model of spare parts in multicomponents/ multi spare parts. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
21698767
Database :
Complementary Index
Journal :
Proceedings of the International Conference on Industrial Engineering & Operations Management
Publication Type :
Conference
Accession number :
174478157