This document provides information about a 5-day training course on Statistical Process Control (SPC), Measurement System Analysis (MSA), and continuous process improvement techniques. The course objectives are to teach participants how to interpret process data, reduce variability, and improve manufacturing processes using SPC and MSA tools. Upon completing the course, participants will be able to develop control plans, implement SPC in their workplaces, and evaluate and improve processes. The target audience includes engineers, production supervisors, technicians, and quality specialists.
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1. Statistical Process Control (SPC), Measurement System Analysis
(MSA) and Continuous Process Control techniques but they learn
Improvement Course
how and why they work
1. Background 3. Outcome
Everything You Need to Know About Statistical Competency in SPC, MSA and Continuous
Process Control (SPC), Measurement System Improvement Tools. Participants will be able to
Analysis (MSA) and Continuous Improvement in 5 draw up a Control Plan for their processes and will
Intensive Days. be able to implement SPC in the workplace.
Participants will be able to evaluate and improve
Statistical Process Control is a technical tool that their processes.
provides users with the ability to study, control
and improve processes of all types. It is central to
the concept of profound knowledge taught by the
late Drs. W. Edwards Deming and Walter
Shewhart.
MSA is a prerequisite for the implementation of
SPC. If you do not improve your manufacturing
processes continuously you stand the risk of losing
your market share.
4. Target Group
ï‚· Engineers
ï‚· Production Supervisors /Foremen
ï‚· Technicians
ï‚· Metallurgists/Chemists
2. Objectives ï‚· Production Managers
ï‚· Quality Specialists
In this seminar you will gain new insight that will
change forever how you interpret data and
improve manufacturing processes. People often 5. Course Outline
make costly mistakes because they misread
information. Yet many shy away from statistical Day 1:
analysis because they do not understand the • What is SPC
language or the mathematics used by statisticians. • The concept of Variability
This seminar cuts through the jargon and shows • Histogram and the Normal Distribution
you how you can use powerful statistical methods • Process Performance Indices
simply and effortlessly. You will learn exactly how • Variable Control Charts
variability can be systematically reduced and Day 2:
experience how process dynamics are reflected in • Attribute Control Charts
Control Charts and Process Capability Analysis. • Pareto Analysis
• Correlation and Regression
Participants not only learn basic Statistical
2. • Control Chart Pattern Analysis
• Process Capability Analysis 6. About the Facilitator
Day 3: Willie Lottering is a Certified Quality and Reliability
• How to Implement SPC Engineer with post graduate degrees in Industrial
• Control Plan Engineering, Quality Engineering and Reliability
• Responsibility Assignments for SPC Engineering from the University of Pretoria . He is
• How to Improve any Type of Process
also a graduate in Mathematical Science with
• Real Time SPC
Mathematical Statistics, Applied Mathematics and
Day4: Mathematics as majors. He has more than 35
• Measurement System Analysis (MSA)
years' experience in the fields of Quality, Reliability
Day 5: Engineering and Continuous Improvement.
• NWA SPC Software
Some of the responsibilities and highlights in his
The above course will be presented over a period career include:
of 1 week (5 working days).
ï‚· Re-industrialisation and implementation
Due to the modular presentation an individual can
of Statistical Process Control (SPC) on the
attend 4 working during a month and attend the
manufacturing processes of the R4
last day with the next course group during the next
Assault Rifle,
month. A competency certificate will only be
ï‚· Implementation of a Failure Reporting
issued after completion of all five (5) days training
and Corrective Action System (FRACAS)
as well as a Project, selected by the company
for the SA Army,
management of the course attendee with inputs
ï‚· Chief Systems Engineer (Reliability) for
from the course presenter, to demonstrate
the development of a new Main Battle
learning during the course. Projects must
Tank for the SA Army,
contribute to process improvement and must have
ï‚· Management of the Reliability Growth
a financial benefit for the company. Three weeks
Program of the Rooikat Armoured
(3) will be allowed for the completion of a Project.
Vehicle,
During the 3 weeks period the presenter of the
ï‚· Management of the Reliability Program of
course will be available for Project consultation
the Pebble Bed Nuclear Reactor (PBMR),
and guidance. Final Projects will be presented to
ï‚· Reliability studies for SASOL in Secunda,
management of companies by course attendees.
ï‚· Reliability studies during the development
Normal consultation fees will apply during the
stages of new Water Pipelines and
Project phase of the course.
Pumping Stations in South Africa and
Botswana,
ï‚· Reliability studies for the Uranium
Enrichment Corporation of South Africa,
ï‚· Spare Part Strategy optimisation for the
Pilatus Aircraft,
ï‚· Implementation of ISO TS 16949 for a
Stainless Steel Plant,
ï‚· Implementation of a Real Time Statistical
Process Control System at a Stainless
Steel Plant using the Wonderware
Intouch SCADA System,
ï‚· Training of more than 2000 people in
industry in aspects such as Statistical
Process Control (SPC), Measurement
System Analyisis (MSA), The Taguchi DOE
3. (Design of Experiments) Principles,
Process Failure Mode and Effect Analysis
(PFMEA), Control Plan and the general
requirements of ISO TS 16949.
ï‚· External Examiner for Post Graduate
Degrees (Honours and Masters) in
Reliability Engineering at the University of
Pretoria.
Willie Lottering has a passion for training,
consulting and mentoring of people from Operator
to Senior Management Level in his specialist areas
with the aim of assisting them to achieve
operational excellence.
7. Contact Information
Cell: 083 225 3733
e-mail: pitechn@mweb.co.za
fax: 0866 719 623