The Statistical Process Control (SPC) is vital to determine the productivity of the process. It’s a tool to know if a new process or an old one is improving or not. It’s is widely recognized and used in the business industry to ensure quality in process delivery and productivity.
This SPC training aims to provide a tool for organizations which are focused on operating in high production and excellence to deliver better results and performance.
This 2-day training program will help participants to use SPC tool as a way to enhance process within their organization. Tools and concepts will be taught which they could readily apply in their own workspaces. It is highly recommended that each participant bring a laptop to facilitate pencil-pushing.
At the culmination of this training, participants are expected to:
- Know the importance of using statistical process control tools;
- Learn on how to use and apply the different SPC tools and techniques; and
- Detect if the process is within the state of statistical control or not and capable or not, thus, helping the participant to decide whether corrective actions are needed or not.
Who Should Attend
- Process engineers
- Quality engineers
- Anyone who is a process owner who wish to improve further his/her own process
2 days, 7 hours each day
Program Outline/Course Overview
Topic 1: Introduction to Statistics
- Introduction to Population and Sample
- Quantitative and Qualitative Data
Topic 2: Descriptive Statistics
- Changing Perspective – People-loving
- Normal Distribution
- Central Tendency
- Measures of Variability
Topic 3: Data Distribution
Topic 4: Data Distribution
- The Basics
- Yellow Marble/ Non-Blue Marble
- An intuitive sense of Probabilities
- The Monty Hall Problem
Topic 5: Probability Distribution
- Discrete Probability Distributions
- Binomial Distributions
- Continuous Distributions
Topic 6: Control Charts
- When to Use a Control Chart
- Control Chart Basic Procedure
Topic 7: Process Capability
- Process Capability Assumptions
- Steps for a Capability Analysis
For a complete course outline, email email@example.com.