Program Overview

Statistical process control (SPC) is the application of statistical methods to the monitoring and control of a process to ensure that it operates at its full potential to produce conforming product. Under SPC, a process behaves predictably to produce as much conforming product as possible with the least possible waste.

While SPC has been applied most frequently to controlling manufacturing lines, it applies equally well to any process with a measurable output. Key tools in SPC are control charts, a focus on continuous improvement and designed experiments.

Target group

Management Representatives, Department Heads, Managers, Supervisors, Engineers, Chemist, Line Leader, Executives for manufacturing, Quality Assurance, and those involved in product improvement.

Objectives

At the end of the course, participants are expected to:

• Understand the principle of SPC in process control plot SPC charts and interpret the pattern.
• Select the appropriate tool for an identified purpose within ISO QMS required activities.
• Use the statistical tools as improvement tool that meet ISO QMS required activities.
• Apply the selected tools & interpret the results of the application
• Make correct decisions based on the interpretation

Certificate of Competency

Participants will be provided with a certificate of attendance at the end of the course.

Methodology

Theory discussion, group exercises, workshops usually base on participants' organization information, individual problem analysis and reporting.

Course Content

Background of SPC
Prevention versus detection
Common and special causes of variation
Control charts for variable data
X-bar and R charts
Individual and moving range charts
Process capability studies – Ppk / Cpk
Examples of SPC
Control charts for attribute data
Attribute charts: - proportion nonconforming (p) charts and nonconformities (c) charts & Process stability
Process capability analysis
Workshop & Presentation

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