Lean & Six Sigma Courses

- Onsite and online options
- Customised to organization needs
- A variety of learning approaches to suit all learning styles
- Certified lean six sigma belts
Root Cause Analysis: Fundamentals
Root Cause Analysis: Fundamentals

Every think you had fixed a problem, only for it to pop up again when you least wanted it to?

Root cause analysis (RCA) is a key building block in an organization’s continuous improvement journey.  This fundamentals RCA course enables  participants to use a variety of complimentary non-statistical and statistical tools to seek and identify the cause(s) of process problems.

The data analysis and statistical software used is MS Excel.

Course customisation available.
Root Cause Analysis: Advanced
Root Cause Analysis: Advanced

Need some root cause analysis superpowers? Then this course is for you. You will learn key statistical root cause analysis tools. You will be enabled to see patterns, anomalies and relationships in data sets.  As a result your problem analysis and solving capabilities will be greatly enhanced.

The data analysis and statistical software used is Minitab.

Course customisation available.
Failure Modes & Effects Analysis (FMEA)
Failure Modes & Effects Analysis (FMEA)

Join us on this practical learning journey through risk identification and mitigation. FMEA is a team-based risk assessment approach that strives to identify all possible failure modes of a product or process, and to eliminate or mitigate the impact of those failure modes.

Course customisation available.
Statistical Process Control (SPC) with Minitab
Statistical Process Control (SPC) with Minitab

Can you tell the difference between control and capability? Is your process in control? Is it capable?

This introductory statistical process control (SPC) course introduces participants to essential tools for monitoring and quantifying process variation.

The course is facilitated using Minitab software.

Course customisation available.
Quick changeover (SMED)
Quick changeover (SMED)

This practical and interactive  course enables you to identify and implement improvements to the set-up/changeover process on a machine. You will learn how through run a full SMED exercise using appropriate lean tools such as video, process mapping, spaghetti mapping, error proofing and standard work.

You will be inspired to further improve and refine the machine changeover process on an ongoing basis.

Course customisation available.
Process mapping
Process mapping

Mapping the steps of the end-to-end process provides the team with information on errors, duplication, and time delays. This interactive mapping workshop is collaborative and interactive. The facilitator acts as both recorder and support to the team is asking probing questions.

Identifying opportunities for improvement leads to  higher customer satisfaction and greater productivity at a lower cost.

Course customisation available.
Value Stream Mapping
Value Stream Mapping

Value stream mapping (VSM) is a diagnostic exercise undertaken by senior continuous improvement personnel and managers in the organisation. VSM enables an organisation to set its strategic and tactical direction over a number of years, as well as select and scope the projects that will deliver change. As such, a VSM workshop is facilitated by an individual who can influence change at a structural and cultural level in the organisation.

 

Course customisation available.
Design of Experiments (DOE) course with Minitab
Design of Experiments (DOE) course with Minitab

DOE enables the selection of optimal settings for process inputs in order to optimize process outputs.

On completion of this course, you will understand the wonderful world of cause and effects analysis at an advanced level. The causes are the factors that influence the process you want to control. The effects are the dimensions, weights and other properties of your product that you want to predict.

The course is facilitated using Minitab software.

Course customisation available.
Design of Experiments (DOE) course with JMP
Design of Experiments (DOE) course with JMP

DOE enables the selection of optimal settings for process inputs in order to optimize process outputs.

On completion of this course, you will understand the wonderful world of cause and effects analysis at an advanced level.  The causes are the factors that influence the process you want to control. The effects are the dimensions, weights and other properties of your product that you want to predict.

The course is facilitated using SAS JMP software.

Course customisation available.