Centre for Learning

SPC for Planning, Improvement and Control

Introduction

SPC provides powerful tools for planning and improvement. ISO 9000/2000 emphasises measuring, monitoring and continuous improvement. The automotive QS 9000 explicitly requires Statistical Process Control applications.

The ‘old-style’ approach to SPC is complex, unfriendly and difficult to sustain. This course will show you how to avoid the common problems of the traditional approach. It will show you how to adapt and select the SPC tools suited to your workplace and to make real, sustainable, gains for your business.

Objectives

On completion of the course, participants should be able to contribute to:

  • more effective process monitoring
  • more effective problem solving
  • more new products achieving quality, cost and volume targets.

Who should attend?

People who want to know how SPC can improve their business; Production, Engineering, and Quality Personnel.

Features:

  • avoid disastrous new product decisions which lead to cost over – runs.
  • encourage continuous improvement in the workplace with simplified, customised versions of standard charts
  • reduce the cost of quality by focussing on the dominant source of variation
  • discover root causes of problems by identifying assignable causes.

Bring your own data

…and develop your own customised SPC tools and methods during the course.

Spreadsheet templates provided for common SPC tools

CONTENT

Learn how to:

  • give control to your operational people by using simple versions of standard charts
  • design cost effective, credible, control schemes based on the dominant sources of process variation
  • encourage constant small improvements to reduce variation and move closer to target
  • reduce scrap and rework by identifying special causes and linking them with process inputs
  • monitor subjective data by constructing measurement scales customised for your own processes
  • avoid disastrous new product decisions which lead to costly over-runs and delays caused by failure
  • to estimate future process capability.

Begin With The Basics:

  • attributes data and variables data
  • control charts: average, range, median, individua
  • process stability and process change
  • histograms and distribution curves
  • process capability and Cpk.

Move On To:

  • customised SPC for shop-floor improvement and control
  • identification of dominant sources of variation and designing control schemes
  • capability planning: estimating future capability of new processes, products and machinery
  • use SPC to identify root causes for more effective problem solving.

Presenter

Alan Long is a Chartered Statistician and is an acknowledged expert in the application of statistical methods to a wide range of business and manufacturing environments. He has been applying SPC to Australian businesses since 1982. Alan enjoys an excellent reputation as an instructor and wrote the STATMAN series of training books.

Fees

$795 covers books, notes, Excel spreadsheets to analyse your own data, lunch and refreshments. Please refer to our standard terms and conditions for further registration details.

What to Bring?

Information on current trial work, problems or development issues.If possible, a laptop with a 3 1/2inch floppy drive.

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