Autocal Academy

Quality Management

Course – 7 QC Tools
Duration – 01 Day / 08 Hrs

Course Description

Session 1: Introduction to Quality Control and Overview of 7 QC Tools (1 hour)

  • Definition of quality control and its importance
  • Introduction to the 7 QC tools
  • Purpose and benefits of using QC tools
  • Overview of how the tools complement each other

Session 2: Check Sheets and Histograms (1.5 hours)

  • Explanation of Check Sheets: Definition, purpose, and types
  • Designing and using Check Sheets effectively
  • Explanation of Histograms: Definition, purpose, and construction
  • Interpreting Histograms and identifying patterns

Session 3: Pareto Charts and Cause-and-Effect Diagrams (1.5 hours)

  • Explanation of Pareto Charts: Definition, purpose, and construction
  • Analyzing Pareto Charts to prioritize issues
  • Explanation of Cause-and-Effect Diagrams (Fishbone Diagrams): Definition, purpose, and structure
  • Steps to create Cause-and-Effect Diagrams

Session 4: Scatter Diagrams and Control Charts (2 hours)

  • Explanation of Scatter Diagrams: Definition, purpose, and construction
  • Interpreting Scatter Diagrams and identifying relationships between variables
  • Explanation of Control Charts: Definition, purpose, and types
  • Construction and interpretation of Control Charts

Session 5: Quality Improvement Process and Case Studies (2 hours)

  • Introduction to continuous improvement and the DMAIC methodology
  • Integrating the 7 QC tools into the improvement process
  • Review of case studies and practical applications of the 7 QC tools
  • Hands-on exercises and simulations for reinforcement

Certification: Upon successful completion of the course, participants will receive the certificate.

Course –CAPA
Duration – 30 Day / 45 Hrs

Course Description

Pre-Session Preparation

  • Materials Needed: Slides, handouts, case studies, CAPA forms, access to relevant standards (e.g., ISO 9001), flip charts, markers.
  • Prerequisites for Participants: Basic understanding of quality management principles.
  1. Introduction (30 minutes)
  • Welcome and Objectives: Brief participants on the agenda and learning outcomes.
  • Introduction to CAPA: Define CAPA, its importance in quality management, and its role in continuous improvement.
  1. Understanding CAPA (1 hour)
  • Definitions and Key Concepts: Explain corrective actions vs. preventive actions.
  • Regulatory Requirements: Overview of CAPA requirements in standards like ISO 9001, FDA QSR, etc.
  • Benefits of Effective CAPA: Discuss how CAPA can lead to improved processes, reduced non-conformances, and enhanced customer satisfaction.
  1. CAPA Process Overview (1 hour)
  • Steps in CAPA Process: Identification, evaluation, investigation, root cause analysis, action plan development, implementation, and verification.
  • CAPA Workflow: Visual representation of the CAPA process.
  1. Root Cause Analysis Techniques (1 hour)
  • Introduction to RCA: Importance of root cause analysis in CAPA.
  • Common Techniques: Explain and demonstrate techniques like the 5 Whys, Fishbone (Ishikawa) Diagram, Pareto Analysis, and Failure Mode and Effects Analysis (FMEA).
  • Interactive Activity: Participants practice using one of the RCA techniques on a sample problem.
  1. Developing Effective CAPAs (1.5 hours)
  • Action Plan Development: How to develop and document corrective and preventive actions.
  • SMART Goals: Ensuring actions are Specific, Measurable, Achievable, Relevant, and Time-bound.
  • Implementation Strategies: Best practices for implementing CAPAs.
  • Case Study: Group activity to develop CAPAs for a given scenario.
  1. Verification and Effectiveness Checks (1 hour)
  • Verification Methods: How to verify that actions have been implemented.
  • Effectiveness Checks: Ensuring that actions taken have resolved the issue and prevented recurrence.
  • Documentation and Reporting: Importance of thorough documentation and regular reporting.
  1. CAPA Management and Continuous Improvement (1 hour)
  • Integration into QMS: How CAPA fits into the overall Quality Management System.
  • Continuous Improvement Cycle: Plan-Do-Check-Act (PDCA) and its relation to CAPA.
  • Monitoring and Review: Establishing a CAPA review process.
  1. Case Studies and Group Exercises (1 hour)
  • Real-world Examples: Discuss successful and failed CAPA implementations.
  • Group Exercises: Participants work in teams to identify issues, conduct RCA, and develop CAPAs for given scenarios.
  1. Q&A and Wrap-up (30 minutes)
  • Open Q&A Session: Address any questions or concerns from participants.
  • Summary of Key Points: Recap the key takeaways from the training.
  • Feedback: Collect feedback from participants to improve future sessions.

Additional Tips

  • Engage Participants: Use interactive methods such as quizzes, discussions, and role-playing.
  • Practical Examples: Use examples relevant to the participants’ industry.
  • Follow-up Materials: Provide additional reading materials and templates for CAPA processes.

 

Certification: Upon successful completion of the course, participants will receive the certificate.

Course –MSA
Duration – 01 Day / 08 Hrs

Course Description

  1. Introduction to MSA (1 hour)
  • Objective: Understand the importance and basic concepts of MSA.
  • Topics:
    • What is MSA and why it is important?
    • Key terms: precision, accuracy, bias, stability, linearity, repeatability, and reproducibility.
    • Overview of the measurement system.
  • Activities:
    • Interactive discussion on the significance of measurement systems in quality management.
    • Real-life examples of measurement errors and their impacts.
  1. Components of Measurement System (1 hour)
  • Objective: Identify and understand the components of a measurement system.
  • Topics:
    • Measuring instruments.
    • Calibration and its importance.
    • Operators and their influence on measurement.
    • Environment factors affecting measurements.
  • Activities:
    • Group activity: Identifying measurement components in their own work environment.
    • Case studies discussion on calibration and its impacts.
  1. Types of Measurement System Errors (1 hour)
  • Objective: Learn about different types of errors in measurement systems.
  • Topics:
    • Common sources of measurement error.
    • Types of errors: systematic and random.
    • Impact of errors on measurement results.
  • Activities:
    • Demonstration of measurement errors using simple experiments.
    • Q&A session on identifying and mitigating errors.
  1. Gage Repeatability and Reproducibility (Gage R&R) Study (2 hours)
  • Objective: Conduct and analyze Gage R&R studies.
  • Topics:
    • Overview of Gage R&R.
    • Steps to conduct a Gage R&R study.
    • Calculating and interpreting results.
    • Using software tools for Gage R&R (e.g., Minitab, Excel).
  • Activities:
    • Hands-on activity: Performing a Gage R&R study with sample data.
    • Software demonstration and guided practice.
  1. Advanced MSA Studies (1 hour)
  • Objective: Explore advanced topics in MSA.
  • Topics:
    • Bias and Linearity studies.
    • Stability studies.
    • Applications of advanced MSA in complex systems.
  • Activities:
    • Case study analysis of bias and linearity.
    • Group discussion on stability and its real-world implications.
  1. Practical Application and Industry Examples (1 hour)
  • Objective: Understand the practical application of MSA in various industries.
  • Topics:
    • MSA in manufacturing, healthcare, and service industries.
    • Real-world examples and success stories.
    • Challenges and solutions in implementing MSA.
  • Activities:
    • Guest speaker or video presentation from industry experts.
    • Interactive discussion on participants’ experiences and challenges.
  1. Review and Q&A (1 hour)
  • Objective: Reinforce learning and address any remaining questions.
  • Topics:
    • Summary of key points from the workshop.
    • Open floor for questions and clarifications.
    • Providing additional resources and references for further learning.
  • Activities:
    • Review quiz or group activity to summarize learning.
    • Q&A session with participants.

Detailed Hourly Breakdown

  1. Introduction to MSA (9:00 AM – 10:00 AM)
  2. Components of Measurement System (10:00 AM – 11:00 AM)
  3. Types of Measurement System Errors (11:00 AM – 12:00 PM)
  4. Lunch Break (12:00 PM – 1:00 PM)
  5. Gage Repeatability and Reproducibility (Gage R&R) Study (1:00 PM – 3:00 PM)
  6. Advanced MSA Studies (3:00 PM – 4:00 PM)
  7. Practical Application and Industry Examples (4:00 PM – 5:00 PM)
  8. Review and Q&A (5:00 PM – 6:00 PM)

Tips for Effective Teaching

  • Engage participants: Use interactive activities, real-world examples, and group discussions to keep participants engaged.
  • Use visual aids: Diagrams, charts, and videos can help illustrate complex concepts.
  • Provide hands-on practice: Allow participants to practice with data and software tools.
  • Encourage questions: Foster an environment where participants feel comfortable asking questions and discussing their experiences.
  • Follow up: Provide additional resources and suggest further reading or training for participants who want to dive deeper into MSA.

Certification: Upon successful completion of the course, participants will receive the certificate.

Course - Operational Excellence & 8D
Duration – 01 Day / 08 Hrs

Course Description

Session 1: Introduction to Operational Excellence and 8D (1 hour)

  • Definition of Operational Excellence and its importance in business
  • Overview of the 8D problem-solving methodology
  • Purpose and benefits of using the 8D approach

Session 2: 8D Disciplines 1-3 (1.5 hours)

  • Explanation of Discipline 1: Establish the Team
    • Roles and responsibilities of team members
    • Team formation and leadership
  • Explanation of Discipline 2: Describe the Problem
    • Techniques for problem description, including problem statements and data collection
  • Explanation of Discipline 3: Implement Immediate Containment Actions
    • Identifying and implementing temporary solutions to contain the problem

Session 3: 8D Disciplines 4-6 (1.5 hours)

  • Explanation of Discipline 4: Identify and Verify Root Causes
    • Root cause analysis techniques, such as Fishbone Diagrams, 5 Whys, etc.
    • Verification of root causes through data analysis and experimentation
  • Explanation of Discipline 5: Choose and Verify Permanent Corrective Actions
    • Generating and evaluating potential solutions
    • Implementing and verifying permanent corrective actions

Session 4: 8D Disciplines 7-8 and Case Studies (2 hours)

  • Explanation of Discipline 6: Implement and Validate Preventive Actions
    • Developing and implementing preventive measures to prevent recurrence
    • Validating effectiveness through monitoring and follow-up
  • Explanation of Discipline 7: Recognize Team and Individual Contributions
    • Importance of recognizing and rewarding team efforts
  • Explanation of Discipline 8: Celebrate Successes
    • Reflection on lessons learned and successes achieved
    • Planning for continuous improvement
  • Review of case studies demonstrating the application of the 8D methodology
  • Interactive discussions and Q&A session

Session 5: Practical Application and Simulation Exercises (2 hours)

  • Hands-on simulation exercises where participants apply the 8D methodology to real-world problems
  • Role-playing scenarios to simulate team collaboration and problem-solving
  • Feedback and discussion on the application of 8D principles in different contexts

Certification: Upon successful completion of the course, participants will receive the certificate.

Course – SPC, Cp, Cp
Duration – 01 Day / 08 Hrs

Course Description

Session 1: Introduction to Statistical Process Control (SPC) (1 hour)

  • Define SPC and its importance in quality management.
  • Explain the basic principles of SPC, including variation, control charts, and process stability.
  • Discuss the benefits of implementing SPC in manufacturing and service industries.

Session 2: Understanding Process Capability (1 hour)

  • Define process capability and its significance in quality improvement.
  • Introduce Cp (Process Capability Index) and Cpk (Process Capability Index with Centering).
  • Explain the differences between Cp and Cpk and when to use each index.
  • Provide examples to illustrate how Cp and Cpk are calculated and interpreted.

Session 3: Collecting and Analyzing Data (1.5 hours)

  • Discuss the importance of data collection in SPC.
  • Explain how to select appropriate data points and sample sizes.
  • Introduce common tools and techniques for data collection, such as check sheets, histograms, and control charts.
  • Conduct exercises or case studies to practice data collection and analysis.

Session 4: Constructing and Interpreting Control Charts (2 hours)

  • Explain the different types of control charts, including X-bar and R charts, p-charts, and c-charts.
  • Guide participants through the process of constructing and interpreting control charts.
  • Discuss the interpretation of control chart patterns, including common cause and special cause variation.
  • Provide examples and practical exercises to reinforce learning.

Session 5: Process Improvement and Problem-solving with SPC (1.5 hours)

  • Discuss how SPC can be used for process improvement and problem-solving.
  • Introduce techniques such as root cause analysis and corrective action.
  • Discuss the role of SPC in continuous improvement and lean manufacturing.
  • Provide examples of successful SPC implementation and its impact on quality improvement.

Session 6: Q&A and Wrap-Up (0.5 hour)

  • Address any remaining questions or concerns from participants.
  • Summarize key takeaways from the training.
  • Provide resources for further learning and support, such as books, articles, or online courses on SPC.


Teaching Methods and Tools:

  • Lectures: Provide foundational knowledge and theoretical background.
  • Hands-On Exercises: Encourage active learning through practical application.
  • Case Studies: Illustrate real-world applications and problem-solving.
  • Group Discussions: Foster collaborative learning and exchange of ideas.
  • Software Tools: Introduce and use statistical software (e.g., Minitab, JMP) for calculations and charting.
  • Assessments: Use quizzes, exercises, and projects to assess understanding and retention.

Resources:

  • Textbooks: Quality Control Handbook by Juran, Statistical Quality Control by Montgomery.
  • Software: Minitab, JMP, Excel for statistical analysis.
  • Templates: Control chart templates, Cp and Cpk calculation sheets.

Certification: Upon successful completion of the course, participants will receive the certificate.

Course –SPC, Cp, Cp
Duration – 02 Day / 15 Hrs

Course Description

Session 1: Introduction to SPC and Quality Control (2 hours)

  • Define SPC and its importance in quality management.
  • Explain the purpose of SPC in monitoring and controlling processes.
  • Introduce basic statistical concepts relevant to SPC, such as variation, central tendency, and control limits.

Session 2: Types of Variation (1.5 hours)

  • Discuss common causes of variation in processes: common cause variation and special cause variation.
  • Explain how understanding variation is essential for effective process control.
  • Provide examples to illustrate different types of variation.

Session 3: Control Charts (2 hours)

  • Introduce control charts as a tool for monitoring process performance over time.
  • Discuss different types of control charts, including X-bar and R charts, p-charts, and c-charts.
  • Explain how to interpret control chart patterns and identify out-of-control conditions.

Session 4: Calculating Cp and Cpk (1.5 hours)

  • Define Cp and Cpk as measures of process capability.
  • Explain how Cp and Cpk relate to the spread of process data relative to specification limits.
  • Provide formulas and guidance on calculating Cp and Cpk values.

Session 5: Interpreting Cp and Cpk Values (1 hour)

  • Discuss the significance of Cp and Cpk values in assessing process capability.
  • Explain how Cp and Cpk values indicate whether a process meets customer requirements.
  • Provide examples to illustrate different scenarios based on Cp and Cpk values.

Session 6: Process Improvement Strategies (2 hours)

  • Introduce strategies for improving process capability and reducing variation.
  • Discuss techniques such as process optimization, root cause analysis, and continuous improvement.
  • Provide examples of successful process improvement initiatives.

Session 7: Practical Application and Case Studies (3 hours)

  • Divide participants into groups and assign each group a case study or real-world problem related to SPC and process capability.
  • Guide participants through the application of SPC tools and techniques to analyze the case study and develop solutions.
  • Facilitate group presentations and discussions to share findings and insights.

Session 8: Review and Q&A (1.5 hours)

  • Summarize key concepts covered during the training.
  • Address any remaining questions or concerns from participants.
  • Provide resources for further learning and support, such as books, articles, or online tutorials.

 

Teaching Methods and Tools:

  • Lectures: Provide foundational knowledge and theoretical background.
  • Hands-On Exercises: Encourage active learning through practical application.
  • Case Studies: Illustrate real-world applications and problem-solving.
  • Group Discussions: Foster collaborative learning and exchange of ideas.
  • Software Tools: Introduce and use statistical software (e.g., Minitab, JMP) for calculations and charting.
  • Assessments: Use quizzes, exercises, and projects to assess understanding and retention.

Resources:

  • Textbooks: Quality Control Handbook by Juran, Statistical Quality Control by Montgomery.
  • Software: Minitab, JMP, Excel for statistical analysis.
  • Templates: Control chart templates, Cp and Cpk calculation sheets.

 

Certification: Upon successful completion of the course, participants will receive the certificate.

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