Condition-Based Maintenance of Degrading Assets underIntermittent Accessibility

This research investigates how maintenance decisions for degrading assets change when access to them is uncertain and intermittent. It models this as a Markov decision process, finding that the optimal maintenance threshold is not fixed but depends on both the asset's physical condition and its current accessibility state. This means knowing when you can fix something is as important as knowing how degraded it currently is.

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