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This session covers the basic concepts of statistical analysis and their application to practical problems in process control. It will deal with such standard tools as histograms, X-bar and R-charts, process capability studies and sampling plans. It is intended to help attendees decide if SPC will be helpful their activities and whether further training should be sought before applications. Attendees to this session learn how to use histograms, Pareto charts, scatter diagrams, etc. The primary focus of the course will be to help attendees develop a working level understanding of the normal distribution and how to construct control charts for variable and attribute data. The attendees are expected to gather in-depth understanding of how to use SPC, calculate process capabilities, and learn how to communicate with design engineering in terms of process capabilities.

Program Lengths: One Day Overview

Background Requirements: None

Who Should Attend: Managers, Supervisors, engineers, technicians, and production employees.

What You Will Learn
This workshop provides basic theories of the technique and practice of Statistical Process control. By attending this session, you develop an appreciation of the technique and learn where and when to use it. You will know::

How to deal with problems faced in manufacturing processes, use of histograms, Pareto charts, scatter diagrams, etc. You will also learn about the characteristics of normal distribution, use DOE results for SPC and how to determine process capability.

How You Will Benefit
By implementing SPC, you and your organization will benefit many ways:

Increase the chances of acting when action is necessary and acting appropriately when it is necessary.
Objectively identify common and special causes of variation and achieve company goals.

Topics Covered:

Understanding SPC
Common problems faced in manufacturing processes
Histograms, Pareto Charts, Scatter Diagrams, etc.
Characteristics of Normal Distribution
Constructs of control charts for variable and attribute data
DOE results for SPC
Calculation of process capability
Quantification variation in terms of $

Common Causes produce variations within a process that has stable and repeatable distribution over time. The process in this condition is called “in a state of statistical control” or “in control”. If only common causes of variation are present and do not change , the output of the process is predictable.

Special causes (often called assignable causes) are due to factors producing variations that are not always acting on the process. They may change the overall distribution of the process and the effect is not stable over time. Unless the special causes of variation are identified and removed, they continue to influence the process in unpredictable ways.