A Decision Support System Designed for Personalized Maintenance Recommendation Based on Proactive Maintenance

Year: 2009
Editor: Norell Bergendahl, M.; Grimheden, M.; Leifer, L.; Skogstad, P.; Lindemann, U.
Author: Huang, Ying; Gardoni, Mickaël; Coulibaly, Amadou
Section: Product and Systems Design
Page(s): 191-202


Product manuals play a more and more important role in improving customer satisfaction. Many kinds of product manuals are developed to support the product utilization during the life of the product. However, most of them emphasize on providing the different levels of detail and presentation format of information for different users, while do not emphasize on personalized maintenance. Moreover, as mechanical products become more and more complex, current methods such as Condition-Based Maintenance method show their limits, which leads to insufficient support for the maintenance phase. A new, dynamic and personalized maintenance document, involving proactive maintenance, is therefore proposed in order to deliver the maintenance support for very complex or highly customised products. In this paper we design a decision support system aiming to provide the personalized maintenance documents and the system is capable of combining prior knowledge and past experience of experts. Different maintenance activities are recommended for different users by taking into account different typical Utilization Conditions of each product instance.

Keywords: Recommendation systems, personalized maintenance document, collaborative filtering, proactive maintenance


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