Abstract
Purpose: This paper proposes a framework for an agile ACA process using Decision-Making Grid (DMG) to accommodate the needs of this dynamic environment.
Design/methodology/approach: The proposed approach has been validated through an industrial case study related to a Steam Generation System (SGS)
Findings: The implementation of the proposed approach in a petroleum refinery to assess the criticality of Steam Generation System (SGS) has shown positive results in terms of time and effort optimization.
Practical implications: The proposed new approach has delivered better results with more consistency when applied by different teams and achieved better distribution of assets over the criticality scale.
Originality/value: This research contributes OM literature with respect to one of its core activities of maintenance, through an innovative systematic, and practical approach.
Design/methodology/approach: The proposed approach has been validated through an industrial case study related to a Steam Generation System (SGS)
Findings: The implementation of the proposed approach in a petroleum refinery to assess the criticality of Steam Generation System (SGS) has shown positive results in terms of time and effort optimization.
Practical implications: The proposed new approach has delivered better results with more consistency when applied by different teams and achieved better distribution of assets over the criticality scale.
Originality/value: This research contributes OM literature with respect to one of its core activities of maintenance, through an innovative systematic, and practical approach.
| Original language | English |
|---|---|
| Journal | Journal of Quality in Maintenance Engineering |
| Early online date | 30 Sep 2020 |
| DOIs | |
| Publication status | Early online - 30 Sep 2020 |
Keywords
- Asset Criticality Assessment (ACA)
- Decision-Making Grid (DMG)
- Reliability
- Maintenance