TY - GEN
T1 - MAINTENANCE PRODUCTIVITY ENHANCEMENT THROUGH PERFORMANCE MEASUREMENT METRICS
AU - Mashitisho, Enos
AU - Telukdarie, Arnesh
N1 - Publisher Copyright:
Copyright © American Society for Engineering Management, 2023.
PY - 2023
Y1 - 2023
N2 - Gas processing plants are consistently confronted with plant downtime from equipment failure, which remains a tremendous challenge. The equipment performance depends primarily on the quality of maintenance execution. Therefore, dealing with breakdowns before occurrence aids the maintenance department in selecting appropriate strategies. The study explores different categories of maintenance strategies to investigate the most basic causes of equipment or process disruption. This strategy includes conventional Failure Mode and Effects Analysis (FMEA), and Failure Mode, Effects, and Criticality Analysis (FMECA). The emphasis is on ensuring the good working condition of equipment to prevent breakdowns. The importance of Maintenance Performance Measurement metrics at the strategic level is discussed in detail. The study further develops a research methodology to measure Mean Time Between Failure (MTBF), Mean Time to Repair (MTTR), and plant availability. The data collected are from the breakdowns and failure records for the equipment under consideration. Critical equipment such as pumps, compressors, vessels, reactors, strainers, heat exchangers, valves, and flow transmitters are isolated to determine which contributes the most to plant downtime. The data collection process starts by analyzing the data from historical records, which are customarily recorded into the Computerized Maintenance Management System (CMMS) by the maintenance department. A statistical technique called Pareto is utilized to select a partial number of critical equipment to substantiate the adequate areas for continued development to minimize downtime and increase equipment availability. Some equipment experiences repetitive failures. The frequency of specific condition-based maintenance strategies and inspections is improved by increasing the amount of monitoring.
AB - Gas processing plants are consistently confronted with plant downtime from equipment failure, which remains a tremendous challenge. The equipment performance depends primarily on the quality of maintenance execution. Therefore, dealing with breakdowns before occurrence aids the maintenance department in selecting appropriate strategies. The study explores different categories of maintenance strategies to investigate the most basic causes of equipment or process disruption. This strategy includes conventional Failure Mode and Effects Analysis (FMEA), and Failure Mode, Effects, and Criticality Analysis (FMECA). The emphasis is on ensuring the good working condition of equipment to prevent breakdowns. The importance of Maintenance Performance Measurement metrics at the strategic level is discussed in detail. The study further develops a research methodology to measure Mean Time Between Failure (MTBF), Mean Time to Repair (MTTR), and plant availability. The data collected are from the breakdowns and failure records for the equipment under consideration. Critical equipment such as pumps, compressors, vessels, reactors, strainers, heat exchangers, valves, and flow transmitters are isolated to determine which contributes the most to plant downtime. The data collection process starts by analyzing the data from historical records, which are customarily recorded into the Computerized Maintenance Management System (CMMS) by the maintenance department. A statistical technique called Pareto is utilized to select a partial number of critical equipment to substantiate the adequate areas for continued development to minimize downtime and increase equipment availability. Some equipment experiences repetitive failures. The frequency of specific condition-based maintenance strategies and inspections is improved by increasing the amount of monitoring.
KW - Criticality Analysis (FMECA)
KW - Effects
KW - Effects Analysis (FMEA)
KW - Failure Modes
KW - Failure Modes
KW - Maintenance
KW - Maintenance strategy
KW - Performance measurement metrics
KW - Reliability engineering
UR - http://www.scopus.com/inward/record.url?scp=85188503800&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85188503800
T3 - Proceedings of the American Society for Engineering Management 2023 International Annual Conference and 44th Annual Meeting: Climbing Higher with Engineering Management
SP - 85
EP - 94
BT - Proceedings of the American Society for Engineering Management 2023 International Annual Conference and 44th Annual Meeting
A2 - Natarajan, G.
A2 - Zhang, H.
A2 - Ng, E.H.
PB - American Society for Engineering Management
T2 - 2023 International Annual Conference of the American Society for Engineering Management and 44th Annual Meeting, ASEM 202
Y2 - 25 October 2023 through 28 October 2023
ER -