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Statistical Process Control

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Program Introduction

Statistical process control (SPC) is an optimization philosophy centered on using a variety of statistical tools to enable continuous process improvement. SPC helps firms to improve profitability by improving process and product quality. Although initially used in manufacturing, SPC tools and methods work equally well in a service environment.

SPC methods are used extensively by organizations to enable systematic learning. Using the SRP method organizations are able to use a set of straightforward statistics to find out whether or not their processes conform to expectations. Furthermore, the use of SPC methods can help to identify instances of process variation that may signal a problem in the process. By identifying process variation and potential nonconformance with design expectations early in the production or service environment, managers can proactively make corrections before the process variation negatively impacts quality and customer perceptions. After attending this training program managers can directly influence organizational performance using SPC practices. 

Program Objectives

  • Ability to solve problems through the use of basic SQC tools
  • Understanding of problem solving methods and prevention based quality assurance
  • Understanding variability
  • Construction and interpretation of histograms, Pareto charts, run charts, and scatter diagrams
  • Use of check sheets, cause and effect diagrams, and flow charts
  • Selection, construction and interpretation of control charts
  • Ability to calculate process capability

Who Should Attend?

Managers, engineers, supervisors, technicians and operators involved in SPC implementation.

PROGRAM OUTLINE

Day One

  1. Introduction to SPC
  2. Statistical Problem Solving Process
  3. Cost of Quality
  4. Basic Tools of Problem Solving
  5. Pareto Analysis, Flow Charts, Cause and Effect Analysis
  6. Data Collection, Check sheets, Scatter Diagrams
  7. Histograms, Run Charts

Day Two

  1. Statistical Fundamentals – Central Limit Theorem
  2. X-Bar, R charts, Control Chart Interpretation
  3. Rational Subgrouping, X-Bar, MR charts for individuals
  4. Zone Control Charts for individuals, Charts for continuous processes
  5. Process Capability Analysis
  6. SPC Implementation

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