Research Article | Open Access | Download PDF
Volume 74 | Issue 2 | Year 2026 | Article Id. IJETT-V74I2P103 | DOI : https://doi.org/10.14445/22315381/IJETT-V74I2P103Operational Efficiency in Industrial Systems through OEE Analysis
Jorge Epifanio Gamarra Tolentino
| Received | Revised | Accepted | Published |
|---|---|---|---|
| 30 Sep 2025 | 31 Dec 2025 | 11 Jan 2026 | 14 Feb 2026 |
Citation :
Jorge Epifanio Gamarra Tolentino, "Operational Efficiency in Industrial Systems through OEE Analysis," International Journal of Engineering Trends and Technology (IJETT), vol. 74, no. 2, pp. 42-53, 2026. Crossref, https://doi.org/10.14445/22315381/IJETT-V74I2P103
Abstract
Overall Equipment Effectiveness (OEE) is a commonly applied metric for assessing productivity in industrial operations. This study analyzes its practical application through a stepwise implementation based on production data obtained from an active manufacturing line. In situations where complete operational records were not available, supplementary data were constructed using realistic assumptions consistent with observed operating conditions. The analysis emphasizes losses associated with equipment availability, operating performance, and product quality, which are frequently underestimated in conventional production monitoring. Recorded operational data were used to characterize these losses and to evaluate their distribution throughout the production process. Based on the observed results, improvement actions related to downtime registration, basic preventive maintenance practices, and rapid changeover techniques, such as SMED, were examined within the evaluated context. The findings indicate that variations in unproductive time have a measurable impact on OEE values, demonstrating that performance improvements can be achieved without immediate investment in additional equipment. The results are representative of manufacturing environments operating under technical and resource-related limitations.
Keywords
OEE, Operational Efficiency, Availability, Performance, Quality, Total Productive Maintenance.
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