4th Asia Pacific International Conference on Industrial Engineering and Operations Management

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

Saskia Puspa Kenaka, Andi Cakravastia, Anas Ma'ruf & Senator Nur Bahagia
Publisher: IEOM Society International
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Track: Logistics
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 in-depth 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 multi-components/ multi spare parts.

Published in: 4th Asia Pacific International Conference on Industrial Engineering and Operations Management, Vietnam

Publisher: IEOM Society International
Date of Conference: September 12-14, 2023

ISBN: 979-8-3507-0548-5
ISSN/E-ISSN: 2169-8767