PEEC’s accelerated learning provides a very attractive return on investment. An example of this is the Lean Six Sigma Green or Black Belt, which takes less than two weeks to complete. Elsewhere, this consists of five separate weeks of training; which can take as long as eight months. Imagine the earning potential or career progression opportunities that could pass by over this period.
At PEEC we are passionate about our training, and we want to take you on this journey with us. Call a member of the PEEC team, and find out which training experience is right for you.
Tag Archives | Change Management
Our Master Black Belts
Our Master Black Belts
Master Black Belts are more than just skilled technologists. The cornerstone for success of a quality accelerated technology training provider is the instructor’s ability to translate complex technical theories into understandable concepts and applied knowledge.
In addition to delivering our courses, our instructors are also consultants for major organisations worldwide. Every day, they acquire more extensive real-world experience which is reflected in the courses they teach and the books they write.
PEEC Training instructors are cross-certified industry professionals – ranging from renowned authors to senior information technology consultants, with extensive real-world knowledge. Every PEEC Training Instructor:
- Is certified in their chosen subject (in the case of Minitab training we only employ Minitab Certified Trainers)
- Has many years of experience in a senior consulting role
- Provides accelerated instruction and guidance, covering fundamentals and hands-on concepts, and demonstrating real-world scenarios to solidify your understanding
The PEEC Master Black Belts deliver the curriculum, provide leadership, coach students to ensure successful information comprehension and retention as well as certification. Instructors provide group instruction and individual assistance with a keen ability to cater to every aptitude and background.
Lean Six Sigma Design of Experiments Y = f(x)
Design of Experiments
§DOE was originally developed in 1930’s by Sir Ronald Fisher to improve agricultural methods
§Fisher used DOE to maximise the yield of agricultural crop (Y) by changing the key process inputs; fertilizers & seed type (x’s)
§ he DOE approach allowed Fisher to understand the main effects of the inputs, and the interactions between the inputs which impact the process output
§The objective is to logically organise changes to 2 or more input variables (x’s) and evaluate if any variable, or any combination of the variables, significantly affect the output (Y)
What is Design of Experiments?
§A DOE is a set of tests on the process output with at least 2 process inputs, each set at 2 or more levels
§The key principle behind the DOE technique is to create a perfectly balanced design which includes an equal combination of process settings
Lean Six Sigma and Waste
§Lean operations display the following characteristics:
üThe elimination of non-value adding activity – waste
üOnly producing what is required, when it’s required
üClose links in the value chain including supply chain input (JIT)
üDoing things right first time
üEnsuring processes are robust
§Many of the techniques are simple and common sense
§These Lean techniques and ‘mindset’ are often mistakenly associated with volume manufacturing.
§However the same principles have also been successfully applied in Project Management, Engineering, Supply Chain, Finance, HR etc.
new KPI TEEP in Lean Six Sigma
World Class OEE is generally accepted as >85%
The world class OEE performance of 85% is comprised of:
Availability = 90%
Performance = 95%
Quality = 99.9%
Research indicates that average OEE for manufacturing plants is 60%
How does your organisation compare against the ‘best in class’ performance?
Imagine what a 40% improvement in OEE (going from 60% to 85%) could do for your organisations competiveness and profitability!
Organisations are now factoring in how often the equipment is used throughout the year (24/7) – this is called the Loading. For example if the equipment is used for 40 hours in a week (168 hours) the loading is 40/168 = 23.8%
This can be factored into the relatively new KPI – Total Effective Equipment Performance (TEEP) metric as follows TEEP = Loading x OEE
Design of Experiments Lean Six Sigma
Y = f(x)
DOE was originally developed in 1930’s by Sir Ronald Fisher to improve agricultural methods Fisher used DOE to maximise the yield of agricultural crop (Y) by changing the key process inputs; fertilizers & seed type (x’s) he DOE approach allowed Fisher to understand the main effects of the inputs, and the interactions between the inputs which impact the process output
The objective is to logically organise changes to 2 or more input variables (x’s) and evaluate if any variable, or any combination of the variables, significantly affect the output (Y)
What is Design of Experiments?
A DOE is a set of tests on the process output with at least 2 process inputs, each set at 2 or more levels
The key principle behind the DOE technique is to create a perfectly balanced design which includes an equal combination of process settings
Consider the example below with 3 key process inputs, each set at the high end (1) and low end (0) of their respective specification (or process variation) limits
Black Belt training during the summer in Würzburg
during the months of July and August there will be several green and black belt session for Lean Six Sigma; all events will be held in the Maritim Hotel in Würzburg.
Zentral und unweit des Hauptbahnhofs erwartet das stilvolle Maritim Hotel Würzburg seine Gäste. Direkt am Mainufer gelegen, bietet es einen herrlichen Ausblick auf die Festung Marienberg, die hoch über der Stadt thront. Die barocke Innenstadt mit ihren zahlreichen Sehenswürdigkeiten lässt sich bequem zu Fuß erkunden. Elegantes Ambiente, verbunden mit herzlicher Gastfreundschaft, und der direkte Anschluss an das Congress Centrum Würzburg schaffen ideale Voraussetzungen für jeden Reisezweck.
Lean in Engineering
Two dimensions of Lean in Engineering
Lean in Engineering / Product Development deals primarily with information as the material to its processes
It goes beyond Lean in Manufacturing in so far as the product is not yet defined
Thus there are 2 dimensions to Lean in Engineering / Product Development:
1.Process dimension:
–mastering processes to meet the time, quality, and cost expectations of the markets
–making processes manageable and measurable
–providing as much space for knowledge and creativity to unfold as possible
2.Product dimension:
–finding the best solutions to a given problem
–changing less in detail phase
Generally, mastering the process dimension is the prerequisite for mastering the product dimension
Visual Management is key within Lean Six Sigma projects
The key to world class flexibility and high quality is the ability to understand at a glance what is going on in the workplace. Visual Management helps everyone in the workplace become involved in monitoring progress and customer service. Visual Management guarantees increases in efficiency, quality levels, productivity, and reductions in man hrs on the job. VM not only makes problems obvious, it provides a means to solve them The purpose of VM is to make everybody’s job easier VM uses all 5 senses to create a simpler, self regulating facility, resulting in increased Quality, productivity and morale.
Pursue Perfection through Standardisation;
Now that improvements have been made it is important that they become the new STANDARD and the team do not fall back into the old ways of working. It does not stifle creativity, it enhances it.
Lean Six Sigma TIM WOOD in engineering
Waste in Engineering Examples
Transportation: Excessive data or information handoffs
Inventory: Requirements, specifications, documents waiting to be processed, test data waiting to be validated
Motion: Searching for information, or data, attending unnecessary, ineffective meetings
Waiting: Inter-task variation, bottlenecks, failure of supplier to meet customer need dates
Over Production: Mass document releases, Preparing excessive reports, broadcast email of information
Over Processing: Gold plated designs (Including design features not required by customer, Re-inventing what has already been designed
Defects: Faulty, incomplete or inaccurate data, data translations