September 16, 2025Jurnal Locus Penelitian dan PengabdianOpen Access

Optimization of Maintenance Inspection Scheduling Decision by Integrating Predictive Maintenance and Operational Management Constraints: Case Study of Storage Tank Maintenance in Central Java

View Full Paper

Ask AI

Bookmark

The integration of predictive maintenance and operational management improved storage tank inspection efficiency.
Predictive modeling achieved a 94% accuracy in classifying tank conditions based on technical data.
Using the Analytical Hierarchy Process, operational criteria were prioritized to optimize maintenance scheduling.
The proposed model aims to enhance reliability and minimize disruptions in maintenance operations.

Discussion

No takes yet. Share an insight, caveat, or question.

Implication

This research integrates predictive maintenance and operational management to enhance storage tank reliability, indicating effective scheduling strategies.

Cite This Study

Prasetio et al. (2025) studied this question.

synapsesocial.com/papers/68d4232f713b0b5dfea6b2de https://doi.org/10.58344/locus.v4i9.4692

View Full Paper

Ask AI

Bookmark

Implication

This research integrates predictive maintenance and operational management to enhance storage tank reliability, indicating effective scheduling strategies.

Optimization of Maintenance Inspection Scheduling Decision by Integrating Predictive Maintenance and Operational Management Constraints: Case Study of Storage Tank Maintenance in Central Java

Key Points

Discussion

Implication

Cite This Study

Optimization of Maintenance Inspection Scheduling Decision by Integrating Predictive Maintenance and Operational Management Constraints: Case Study of Storage Tank Maintenance in Central Java

Key Points

Discussion

Implication

Cite This Study

Also Consider

Also Consider