PulseTrendingJournal ClubResearchersJournalsExplore
Instagram
HomeTrendingJournal ClubExplore
Synapse
⌘+K
Synapse
August 6, 2026Applied SciencesOpen Access

A Data-Informed Physical Asset Management Model for Maintenance Strategy Selection Under Reliability, Risk, and Uncertainty: A Scenario-Based Approach

View Full Paper
Ask AI
Bookmark
Share

Authors

SWSylwia Werbińska-Wojciechowska

Discussion

Loading...

Member takes

Overview

Randomized trial demonstrates stable maintenance strategy classification in industrial assets, suggesting improved decision-making under uncertainty.

Key Points

  • This research aims to integrate maintenance decision-making within asset management frameworks, focusing on reliability, risk, and uncertainty.
  • Proposed an integrated decision-support framework for maintenance strategy selection.
  • Utilized fuzzy analytic hierarchy process (Fuzzy AHP) for assessing asset criticality.
  • Evaluated the framework using a scenario-based case study addressing operational conditions and data availability.
  • IMDS shows stable maintenance classification across scenarios, distinguishing corrective from predictive strategies.
  • Monte Carlo-based uncertainty propagation indicates robustness, with narrow confidence intervals and high Decision Robustness Index (DRI) values.
  • Sensitivity analysis identifies asset criticality and failure probability as key drivers affecting decision outcomes.

Cite This Study

Sylwia Werbińska-Wojciechowska (2026) studied this question.

synapsesocial.com/papers/6a743783764cddc9499d4ee3https://doi.org/10.3390/app16157771
View Full Paper
Ask AI
Bookmark
Share