Automatic OEE Data Collection and Alert System for Food Industry


  • Ruly Sumargo Pradita university, Tangerang, indonesia
  • Amelia Makmur Pradita university, Tangerang, indonesia




Automated Data Collection; Food and Beverage; Optimizing Manufacturing Processes; Overall Equipment Efficiency (OEE); Six Groups Loss


The constant demand for food and beverages to sustain human life drives fierce competition among manufacturers, focusing on product excellence in terms of timeliness, quality, and pricing. The key to competitiveness depends in optimizing manufacturing processes by efficiently utilizing company resources. To ensure the overall optimization and reliable flow of manufacturing processes, a systematic evaluation process must be used, Overall Equipment Efficiency (OEE) stands out as a prominent performance measurement metric in manufacturing process efficiency. OEE serves as a valuable diagnostic tool, exposing areas for improvement and losses transparently. Accurate OEE measurement necessitates the implementation of an automated data collection system with minimum human dependencies, human intervention, and conducting on-the-fly calculations to informed the stakeholder/user. Data quality and accuracy in OEE measurement is very critical. Low quality and accuracy data could lead to false decision. OEE categorizes losses into six groups loss to pinpoint significant factors for potential improvement. Once OEE could be maintain at high level with high data accuracy and right improvement point, an optimum manufacturing process, and cost effective in manufacturing expenses will be achieve. Base on the result comparison for OEE result before and after the system implementation, positive improvement in OEE could reach 8.06%. This scenario be adopted by other company, and could become a model for 1st phase journey in company digital transformation.

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How to Cite

Sumargo, R., & Makmur, A. . (2023). Automatic OEE Data Collection and Alert System for Food Industry . Sinkron : Jurnal Dan Penelitian Teknik Informatika, 8(4), 2158-2167.