Statistical Process Control (SPC)

As always, a well presented course, relevant to my business, well presented and understood by all. ~ SEWS Europe

Overview

As well as being core components of the Six Sigma approach, Statistical Process Control (SPC) is also a key element of ISO/TS16949, where it is required to be used within the Product Realisation process.

Many problems encountered with Statistical Process Control (SPC) and Design of Experiments (DOE) are caused by problems with measurement systems where the process of obtaining measurements and data may have variation and produce defects.

Statistical Process Control is an optimisation philosophy concerned with continuous process improvement, using a collection of (statistical) tools for data and process analysis making inferences about process behaviour. SPC is a key component of Total Quality initiatives and ultimately SPC seeks to maximise profit by improving product quality, improving productivity, streamlining process, reducing wastage and reducing variation

Course Objectives

This interactive and practical course will provide delegates with a basic knowledge and understanding of the principles of Statistical Process Control and the methodologies for performing capability studies.  Our course is highly practical and avoids detailed knowledge or discussion of statistical theory.

Key Skills / Learning Objectives

Through the combination of interactive tutorials and workshops, our course will enable the delegates to:

• Generate, utilise and interpret a variety of Control Charts (Xbar/R, S & Attribute).
• Perform a capability study and determine process capability indices (Cp, Cpk, Pp and Ppk).
• Interpret the results in the context of the process variation and product acceptance criteria.

Course Outline

• The existence and measurement of variation
• Concepts
• Variation
• Data tables, histograms and run charts
• Normal Distribution
• Accuracy and Precision
• Measures of variation (mean, mode, median, range, standard deviation and variance)
• Understanding and Managing Variation
• Common and special causes
• Taking appropriate action on common and special causes
• Process improvement methodology
• Reacting to special causes
• Statistical Control, what it is and the advantages of processes being in control vs tampering with the process
• Role of Control Charts
• Role, uses and definition of control charts
• Types of Control Charts
• X-Range Charts
• Use of Charts
• Preparation and use of control charts
• Examples
• Measures of variation (mean, mode, median, range, standard deviation and variance)
• Attributes Charts
• c, p, np and u charts (overview)
• Examples
• Capability Analysis
• Process capability
• Performing a process capability study

Additional Core Tools include: Measurement Systems Analysis (MSA); Advanced Product Quality Planning (APQP) and Production Part Approval (PPAP); Failure Mode & Effects Analysis (FMEA)

Who Should Attend?

• Personnel involved in manufacturing, quality, inspection, design/process engineering.
• Those who are required to develop and interpret control charts.

Booking and Course Fees

Fees include:

• Delegate workbook, including reference information
• Training provided by qualified and experienced tutors with extensive practical management auditing experience across a variety of manufacture and service industries
• Certificate verifying attendance and completion of course

This course is for delivery in-house only. Offering better value for money, in-house training can be customised and designed to meet specific individual and company needs.

Please Contact us to discuss your in-house requirements

More Information