What is meant by Scrap analyses?
"Scrap analyses" refers to the examination of scrap or defective products to identify the causes of their occurrence and take measures to reduce the scrap. These analyses are crucial to improving product quality, optimizing production processes, and reducing costs associated with scrap products.
Typical functions of software in the "Scrap analyses" area are:
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Data Collection and Categorization:
- Collection of data on defective products, scrap quantities, and causes from various sources such as production machines, quality inspections, or manual inputs.
- Categorization of scrap products by causes such as machine failures, material defects, operator errors, or other reasons.
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Analysis of Scrap Data:
- Analysis of collected scrap data to identify trends, patterns, or frequently occurring issues.
- Calculation of scrap rates, scrap costs, and other metrics to evaluate scrap performance.
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Visualization of Results:
- Presentation of analysis results in the form of charts, graphs, or dashboards to quickly identify the main causes and trends.
- Graphical representation of scrap quantities and causes for clear presentation.
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Root Cause Analysis:
- Conducting root cause analyses to identify the main causes of scrap products and identify targeted measures for error correction.
- Application of tools such as FMEA (Failure Mode and Effects Analysis) or Ishikawa diagrams to identify causes.
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Tracking of Actions:
- Tracking of actions to reduce scrap products and monitoring the effectiveness of these measures over time.
- Assignment of responsibilities and deadlines for corrective actions.
