What is meant by Visualization of loss causes?
The term "graphical visualization with loss causes" refers to the representation of data and analyses that visually and interactively highlight losses in a process or production. This includes identifying and analyzing the causes of efficiency losses, material waste, or downtime. Such visualizations help companies recognize and address bottlenecks and weaknesses.
Typical software functions in the area of "graphical visualization with loss causes":
- Loss Classification: The software enables the classification and categorization of losses by type, cause, and severity.
- Interactive Dashboards: Real-time dashboards that visually represent production or process data, directly pointing to loss sources.
- Cause Analysis: Tools for analyzing loss causes, such as Ishikawa diagrams (fishbone diagrams) or Pareto analyses.
- Time and Trend Analyses: Visualizations showing when and how often certain losses occur, identifying trends over time.
- Customizable Chart Types: Various graphical representation options such as bar charts, line graphs, or heat maps to display loss causes.
- Data Aggregation and Filtering: The ability to filter data by different criteria to examine specific loss causes at various detail levels.
- Reporting: Automated reports documenting the identified loss causes and their impact on business processes.
Examples of "graphical visualization with loss causes":
- Machine Downtime: A dashboard that graphically displays the main causes of machine downtime in a production line.
- Material Waste: A visualization showing which production steps lead to excessive material consumption.
- Production Interruptions: Diagrams highlighting the most common reasons for production interruptions or delays.
- Energy Loss Analysis: A graphical representation of energy losses in a production process, such as through inefficient machines or leaks.
- Quality Issues: Pareto charts displaying the most frequent causes of quality deviations in final products.
