Operational/process improvement training courses

BSI provides operational and process improvement training courses and support in a range of operational and process improvement methodologies including statistical process control, problem solving through 7QC tools, root cause analysis and fundamentals of acceptance sampling.

All of our team are drawn from industry and have hands-on experience in the application of their specialist subjects. Our approach is to work closely with our clients during business improvement initiatives. This can be achieved through classroom training, facilitation of chosen development activities, or a combination of both.

Whether you are wanting to simply create awareness of the need for continuous business improvement or implement a full global corporate Lean Six Sigma initiative we would be pleased to discuss with you how we can help.

Operational/process improvement training courses

We offer a range of operational/process improvement training courses designed to help you achieve your business objective and to help in growing your market share and giving employees clearly defined roles and responsibilities.

Minitab Training Module 3 : Advanced Statistical Process Control (SPC)


1 Day classroom training course

    This course is designed for managers, engineers or executives who are involved in quality improvement initiatives. It is equally suitable for those who are already using SPC; those who would like to be exposed to the use of Advanced SPC with Minitab software, as well as those who would like to sharpen their competency in the interpretation of the results.

View details for Minitab Training Module 3 : Advanced Statistical Process Control (SPC)

Problem Solving with Effective 5 Whys Analysis


4 hours classroom training course

    The 5 Whys Analysis is an iterative question-asking technique used to explore the cause-and-effect relationships of a particular problem. This analytical approach is further enhanced with the comprehensive 3x5 Whys technique which covers 3 different aspects to prevent recurrence, protect the customer and predict possible failures from system weaknesses.

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