Loading...
The effect of multi-sensor data on condition-based maintenance policies
van Staden, Heletjé E. Boute, Robert
van Staden, Heletjé E.
Boute, Robert
Citations
Altmetric:
Publication Type
Journal article with impact factor
Editor
Supervisor
Publication Year
2021
Journal
European Journal of Operational Research
Book
Publication Volume
290
Publication Issue
2
Publication Begin page
585
Publication End page
600
Publication Number of pages
Collections
Abstract
Industry 4.0 promises reductions in maintenance costs through access to digital technologies such as the Internet of Things, cloud computing and data analytics. Many of the promised benefts to maintenance are, however, dependent on the quality of the data obtained through sensors and related technologies. In this work, we consider the effect of access to different levels of deterioration data quality, resulting in partial information about the underlying state of the system being monitored, by means of sensors, on condition based maintenance policies. The sensors may be either internal company sensors, or more informative external sensors of which access is obtained at a cost. We analyze the structure of the optimal policy, where the actions are either to perform maintenance, to pay for external sensor information or to continue system operation with internal sensor information only. We show that the optimal policy consists of at most four regions based on the believed deterioration state of the system. The analysis allows us to numerically investigate the decision maker's willingness to pay for more informative external sensor information with respect to the level of external sensor informativeness, when compared to that of the internal sensor, and the cost thereof.
Research Projects
Organizational Units
Journal Issue
Keywords
Maintenance, Multi-sensor Data, Condition-based Maintenance, Partially Observable Markov Decision Process