Conceptual optimal selection of an e-maintenance autonomous strategy in CNC machining: a case study
Oyesola, Moses Oluwafemi Mpofu, Khumbulani Kanakana-Katumba, Grace
Oyesola, Moses Oluwafemi
Mpofu, Khumbulani
Kanakana-Katumba, Grace
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Abstract
This research aims to provide an effective valuable strategy for an effective maintenance management plan (MMP) with the specific needs and demands of a Computer Numerical
Control (CNC) machine within a manufacturing plant setting. Given the critical role of the machine in the overall operational success of a factory, this study examines maintenance approaches that encompass autonomy by shifting from Total Productive Maintenance (TPM) involving corrective actions, and a run-to failure strategy. The primary focus of this research lies in the bands of historical data collection and analysis, highlighting three critical component-level failures of paramount importance for closely monitoring of the performance of the CNC machine. In the quest for an optimal maintenance strategy, the study assesses the viability of three distinct approaches: Preventive Maintenance, Predictive Maintenance, and E-Maintenance (Autonomous). To ensure the sustained health and efficiency of the case machine production line, the research employs Pugh's elimination matrix
table as an evaluation tool.
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Date
2024-07-11
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IEEE
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Keywords
Autonomous maintenance, CNC machine, Evaluation