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May 6, 2026Journal of Manufacturing and Materials Processing2 citationsOpen Access

Overall Equipment Effectiveness as a Strategic KPI in Intelligent Manufacturing: A Case Study in Plastic Injection Moulding

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SVSonia ValNJNicolás JiménezMLMaría Pilar Lambán

Key Points

  • This research aims to explore Overall Equipment Effectiveness (OEE) as a vital KPI for intelligent manufacturing and its effects on production efficiency.
  • Analyzed production data from a hydraulic plastic injection-moulding machine over 14 months.
  • Calculated monthly OEE, Availability, Performance, and Quality metrics.
  • Identified efficiency losses through diagnostic analysis and consultations with plant personnel.
  • Baseline OEE was low due to unplanned downtime and cycle times above target.
  • Post-improvement measures led to marked increases in OEE and reductions in downtime.
  • Cycle-time stability improved, approaching world-class performance.

Abstract

Intelligent manufacturing requires strategic performance indicators that link shop-floor performance with productivity and sustainability goals. This study examines Overall Equipment Effectiveness (OEE) as a strategic key performance indicator and applies it to a hydraulic plastic injection-moulding machine producing an automotive component. Production data captured through a PLC-and-SQL-integrated digital monitoring system over 14 months were used to calculate monthly Availability, Performance, Quality, and OEE values and to identify the main sources of efficiency loss. The baseline period showed low OEE, driven mainly by unplanned downtime, minor stoppages, and cycle times above the 45 s target, whereas Quality remained consistently close to 100%. A diagnostic analysis combining production logs, downtime stratification, cycle-time records, and consultations with plant personnel was then used to define improvement actions. The implemented measures included preventive and predictive maintenance, process-parameter optimisation, operator training, and wider use of digital monitoring and analytics. In the post-improvement period, OEE increased markedly, downtime decreased, and cycle-time stability improved, reaching values close to world-class performance. The results confirm that OEE can function as a unifying KPI for intelligent manufacturing, supporting data-driven decision-making, continuous improvement, and more sustainable production.

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Cite This Study

Val et al. (2026) studied this question.

synapsesocial.com/papers/69faa25e04f884e66b53305chttps://doi.org/10.3390/jmmp10050159
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