Problem solving

This training course provides a systematically approach to problem solving, along with 14 tools and techniques that can be used. 

 

By adopting a structured approach, problems can be eliminated and the need for constant "fire-fighting" can be avoided. In addition to needing a structured approach, appropriate tools and techniques are required to collect and analyse data, generate ideas about problems and solutions, and select and test those solutions prior to implementation. 

 

Course Contents:

  • The step-by-step problem solving process

  • Brainstorming

  • Cause and effect analysis

  • Checksheets

  • Concentration diagrams

  • Process flowcharts

  • Activity sampling section

  • Data handling and display

  • Pareto analysis

  • Force field analysis

  • Ranking and rating

  • Solution effect analysis

  • Failure prevention analysis

  • Data collection interviews and data collection questionnaires.

Statistical process control

The following set of lectures has been designed by Bizolutions to assist Quality Control and other supervisory personnel in understanding the concepts and applications of Statistical Process Control with regard to variables on the production floor.

 

Each lecture is approximately 2 - 2 ½ hrs long.

Here follows an outline of the course:

 

Module 1

  • Quality and Productivity

  • The relationship between quality and productivity

  • Aspects to be considered before improving quality

  • An introduction to sampling

  • Some aspects of statistics and sampling

  • The use of samples to study the production and quality of products

  • Different types of samples used for statistical studies

  • An introduction to statistics

  • Data collection

  • Frequency distribution

  • Interpretation of  frequency distribution

  • Summary and exercises

 

Module 2

  • Statistical measures

  • Measures of location

  • Measures of dispersion

  • Statistical distributions

  • The normal distribution

  • The binomial distribution

  • The Poisson distribution

  • The distribution of means

  • Statistical process control

  • Definitions

  • The components of a process that affect quality

  • Improving and controlling process variation

  • Summary and exercises

 

Module 3

  • Process control

  • Statistical process control versus conformance to specification

  • Process centring and stability

  • The x(bar)-R chart for variables

  • Definitions

  • Concepts of the x(bar)-R chart

  • Selecting sub-groups and sampling frequency of subgroups

  • Calculating control limits for mean and range

  • Calculation of the control limits

  • Calculation and interpretation of process capability

  • Construction of the chart

  • Summary and exercises

 

Module 4

  • Interpretation of the x(bar)-R chart for variables

  • Characteristics of stability

  • Characteristics of instability

  • Other process control charts

  • Important theories and concepts in the application of control charts

  • Process control methods that will not improve Quality or Productivity

  • The correct application of control chart theory

  • Some important notes on how to calculate control limits for x(bar)-R charts in practice

  • Summary

 

Quality awareness

A course for all levels of personnel that is company specific, based on the individual company's Quality Management System, can be set up and presented.

 

This course is intended to engage and enthuise employees in the implementation and running of a Quality Management System based on ISO9001. Specifically, now current, the 2015 version of this standard requires all personnel to be engaged.

 

Senior management will also be interested specifically in the risk management requirements, its planning and execution there-of.

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