MindMap Gallery SPC
This is a mind map about SPC. SPC is a scientific, advanced and effective quality management method. It can help enterprises better control the production process, improve product quality and economic benefits, and is indispensable for modern enterprises. One of the quality management tools.
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SPC
1. Seven QC techniques:
Hierarchical method: Classify data according to different categories to discover the regularity of the data.
Checklist: Record and organize data for easy analysis.
Plato: Determine the importance of a problem, usually ranked by frequency of occurrence.
Definition: A bar chart of data arranged in descending order of importance.
Role: Identify the factors that contribute most to process problems or variations.
Application scenario: Prioritize the most important quality issues to achieve maximum improvement.
Cause-and-effect diagram (fishbone diagram): Analyze the causes and effects of problems.
Definition: A tool for root cause analysis.
Role: Helps teams identify root causes of problems by classifying potential causes into different branches.
Application scenario: Promote communication and collaboration in team discussions and systematically analyze the root causes of problems.
Scatter plot: Study the relationship between two variables.
Definition: Used to explore the relationship between two variables.
Function: Identify correlations and patterns between process variables.
Application scenario: Determine the relationship between variables, such as the relationship between temperature and product size.
Histogram: Shows the distribution of data.
Definition: Provides a graphical representation of the distribution of data.
Function: Helps analyze the central tendency and distribution of process data.
Application scenario: Analyze process data and identify deviations and anomalies in the data.
Control Chart: Monitors the stability of a process.
Definition: Used to monitor variation in the production process.
What it does: Help identify anomalies in the process by plotting data points and comparing them to preset control limits.
Application scenario: Used to monitor the central trend (mean) and variability of the process, such as X-Bar and R charts.
2. Cpk (process capability index):
Definition: Measures the processing capability of the production process in a steady state, reflecting the stability and consistency of the process.
Role: Help companies identify problems, improve production, and ensure the stability and consistency of products or services.
Application scenarios: production control in manufacturing, problem identification in quality management, product design and improvement.
3. Cmk (equipment capability index):
Definition: An indicator to measure the stability of equipment operation, only considering the impact of the equipment itself on product results.
Function: Evaluate whether the equipment can continuously and stably produce products that meet specifications during the production process.
Application scenarios: acceptance of new machines, after machine overhaul, trial production of new products, and tracing the reasons for product failure.
4. Ppk (Process Performance Index):
Definition: Before entering mass production, the ability evaluation of small batch production reflects the current pass rate level.
Role: Evaluate the performance of the production process.
Application scenario: process performance evaluation before mass production.