Seven tools of quality control.slideshare

7 tools of quality control help identify potential problem root cause and then target them for improvements and process optimization. These are widely used in all kind of manufacturing industries along with service industry as well.

1. 7 tools of quality control A POWERPOINT PRESENTATION BY aryan rai(with concise industry relatable examples)

2. Introduction-

3. Overview of the 7 tools:

4. 1-Pareto Chart Explanation of Pareto Principle: The Pareto Principle, also known as the 80/20 rule, suggests that roughly 80% of effects come from 20% of causes. In quality control, it means that a significant portion of problems (80%) is often caused by a few key factors (20%). How to Construct a Pareto Chart: Steps include identifying and listing problems or causes, collecting data on their frequency or impact, arranging them in descending order, and plotting them on a bar chart. The tallest bars represent the most significant issues. Example Application : Lets plot a pareto chart for our incrency inprocess system and find out the vital few reasons causing inprocess errors(hypothetically)

5. Example Pareto chart- Inprocess errors

6. 2-Cause and Effect Diagram (Ishikawa or Fishbone Diagram)

7. Fishbone diagram in Pharma

8. 3-Control Chart Definition and Importance: A Control Chart is a statistical tool used to monitor processes over time and detect any deviations or variations from desired performance. It helps distinguish between common cause variation (inherent to the process) and special cause variation (due to external factors). Statistical Monitoring: Control charts are statistical tools used to monitor processes over time. They provide a visual representation of process variation and help distinguish between common cause variation (inherent to the process) and special cause variation (due to external factors). Key Components: A control chart typically consists of a central line representing the process mean and upper and lower control limits (UCL and LCL) based on the process variation. These limits are usually set at three standard deviations from the mean and serve as boundaries for identifying significant deviations from the norm. Types of Control Charts: There are various types of control charts depending on the nature of the data being monitored. Common examples include the X-bar and R charts for variables data (measurements), and p-chart and c-chart for attribute data (counts or proportions of nonconforming items). Interpretation: Control charts help users interpret process behavior. When data points fall within the control limits and show a random pattern, the process is considered to be in statistical control, indicating that variations are consistent with common causes. However, if data points fall outside the control limits or exhibit non-random patterns, it suggests the presence of special causes requiring investigation and corrective action. Continuous Improvement: Control charts are integral to the concept of continuous improvement in quality management. By providing early warning signals of process deviations, they enable timely interventions to prevent defects, reduce variability, and enhance overall process performance, thus supporting the pursuit of operational excellence.

9. Example-Control charts. Lets plot a hypothetical control chart for Batch assay results. As you can see we have given random data and set a upper Control limit and lower control limit in our excel formula bar. After setting ucl and lcl we have freeze the limits and now I will delibratly let batch no. B329 and B334 assay result go out Of limit. Which will be detected in our control chart in a trendline mannar

10. Example-Control charts.

11. 4-Check Sheets

12. 4-check sheets

13. Example-Check sheet.

14. 5-Histogram

15. Example-Histogram

16. 6-Flowchart Definition and Importance in Quality Control: A Flowchart is a visual representation of a process or workflow, depicting the sequence of steps, decisions, and interactions involved. It helps in understanding, analyzing, and improving processes. Steps to Create a Flowchart: Identify the process to be documented, define the starting and ending points, map out the sequence of steps, decision points, and feedback loops using standard symbols, and review and refine the flowchart for accuracy. Example of Flowchart in Process Improvement: In Pharmaceutical manufacturing, a flowchart can be used to illustrate the product journey from one process to another, identifying bottlenecks, delays, Probable root causes of inefficiencies for targeted improvements.

17. Example-Flowchart.

18. 7-Scatter diagram Purpose and Benefits: A Scatter Diagram visualizes the relationship between two variables by plotting data points on a graph. It helps identify correlations, trends, or patterns in the data. How to Create a Scatter Diagram: Plot pairs of data points representing the two variables on a Cartesian coordinate system, with one variable on the x-axis and the other on the y-axis. Analyze the pattern of points to determine the relationship. Application in Identifying Relationships: In pharma manufacturing, a scatter diagram can be used to investigate the relationship between process parameters (e.g., temperature, pressure) and product quality characteristics (e.g., hardness, dissolution). Now lets plot a scatter plot between compression force and average hardness achieved per batch which will show a positive correlation in the scatter plot along a trendline which will prove the conclusion that increasing compression force will increase ave. hardness.

19. Example-Scatter plot diagram.

20. Conclusion In conclusion, the "7 Tools of Quality Control" offer indispensable methods for organizations striving for excellence in their processes and products. From Pareto charts pinpointing critical issues to flowcharts illustrating workflows, each tool serves as a compass for navigating the complexities of quality management . I have tried to contain this ppt as concise and practical as possible with relatable examples and anecdotes. By implementing these techniques, businesses can uncover inefficiencies, address root causes, and elevate standards to meet and exceed customer expectations. Yet, mastery of these tools is not a destination but a journey of continuous improvement. Embrace the spirit of learning, experimentation, and adaptation, for it is through these efforts that organizations truly thrive in today's competitive landscape. Let us commit to the pursuit of quality, knowing that with dedication and diligence, we can forge a path towards sustainable success. Thank you for joining me on this exploration this far with so much paitence , and may your quality endeavors be fruitful and rewarding.