Course Code: statisticalprocesscontrol
Duration: 14 hours
Prerequisites:
  • Basic understanding of statistics

Audience

  • Quality control professionals
  • Process engineers
Overview:

Statistical Process Control (SPC) is a methodological approach used in quality control and manufacturing to monitor, control, and ensure the consistency of processes.

This instructor-led, live training (online or onsite) is aimed at beginner-level quality control professionals who wish to learn the fundamentals of Statistical Process Control (SPC) and apply it in real-world scenarios.

By the end of this training, participants will be able to:

  • Understand the fundamentals of Statistical Process Control (SPC).
  • Use basic SPC tools such as control charts, histograms, Pareto charts, and scatter diagrams to monitor process performance.
  • Create and interpret various types of control charts for variable and attribute data to detect and analyze process variations.
  • Calculate and interpret process capability indices.

Format of the Course

  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.
Course Outline:

Introduction to Statistical Process Control

  • Definition and history of SPC
  • Importance and benefits of SPC
  • Basic statistics review

SPC Tools and Techniques

  • Concepts and construction of control charts
  • Types of control charts
  • Histograms, Pareto charts, scatter diagrams

Implementing Control Charts

  • Selection of control charts
  • Setting up control limits
  • Monitoring and interpreting control charts
  • Special cause variation vs. common cause variation

Process Capability Analysis

  • Concepts of process capability
  • Calculating process capability indices
  • Interpreting process capability indices
  • Short-term vs. long-term capability

SPC Implementation and Continuous Improvement

  • Steps for SPC implementation
  • Role of SPC in continuous improvement
  • Strategies for overcoming common implementation challenges

Software for Statistical Process Control

  • Overview of SPC software tools
  • Using Excel and other SPC software
  • Tips for effective data management and analysis

Summary and Next Steps

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