HERRAMIENTA DE ESTRATIFICACIÓN (HERRAMIENTAS DE LA CALIDAD)
Stratification Tool: Understanding and Application
Introduction to Stratification
- The stratification tool is introduced as a method for classifying data derived from problem detection in processes. It serves as a foundation for analyzing quality control.
- Stratification involves categorizing data based on various factors such as personnel, materials, time, environment, location, machinery, defects, or failures.
Purpose and Application of Stratification
- This statistical method prepares data for further graphical analysis and helps identify significant causes influencing data variation.
- Key steps include defining the problem, evaluating related data, selecting factors to analyze, measuring contributions of each factor, and using graphical representation to find trends.
Analyzing Data Differences
- Comparing average values across different strata allows for identifying significant differences; if none exist, reclassification may be necessary.
- If a major cause is identified through this analysis, further conclusions can be drawn to develop corrective action plans.
Advantages of Using Stratification
- The tool helps avoid problems by identifying the influence of specific factors on process outcomes and supports various quality tools.
- A case study at Sunshine Resort illustrates how stratification was used to address excessive cleaning product usage linked to staff rotation.
Case Study: Sunshine Resort
- Data tables show cleaning product usage across shifts (morning, afternoon, night), revealing that the morning shift in Tower 1 had the highest empty containers.