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Error costs reduction in chocolate bar production
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Reduction of scrap
Mobile phones increased production
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About Us
Our team
MTS International
Cooperation
Consultancy
Process Optimization
Quality Optimization
Analysis and optimization of MCRS
Project Specific Coaching
Task Force projects
Support of design projects
Coaching for Deployment and Change
Data Mining
Six Sigma
Process Mining
Design for Six Sigma
Industry 4.0
Innovation
Holistic approach 4.0
Training
Six Sigma
Yellow Belt
Green Belt
Black Belt
Black Belt add on
Champion
Master Black Belt
Six Sigma Certification Requirements
Design For Six Sigma
Yellow Belt
Green Belt without prior knowledge
Green Belt add on from Green Belt DMAIC
Black Belt without prior knowledge
Black Belt add on with DFSS Green Belt
Minitab Training
Minitab Basic
Minitab deepening work
Statistical methods of quality assurance with Minitab
Modular Training
Tolerance Management
QFD
MSA
DoE
Axiomatic Design
Functional analysis
Data based FMEA
Rapid miner
CIP Green Belt
Lean Basic
Lean Advanced
Statistical Methods
Data Mining
Process Mining
Industry 4.0
Six Sigma Leadership
Concept Design 4.0 Management Training & Workshop
References
Customers
Projects
Sucess Stories
Increased customer satisfaction
Error costs reduction in chocolate bar production
Productivity increase
Reduction of scrap
Mobile phones increased production
Implementation of Design for Six Sigma in the chemical research and development in Evonik Industries
Events
Six Sigma Congress
Photo Gallery
Contact
About Us
Our team
MTS International
Cooperation
Consultancy
Process Optimization
Quality Optimization
Analysis and optimization of MCRS
Project Specific Coaching
Task Force projects
Support of design projects
Coaching for Deployment and Change
Data Mining
Six Sigma
Process Mining
Design for Six Sigma
Industry 4.0
Innovation
Holistic approach 4.0
Training
Six Sigma
Yellow Belt
Green Belt
Black Belt
Black Belt add on
Champion
Master Black Belt
Six Sigma Certification Requirements
Design For Six Sigma
Yellow Belt
Green Belt without prior knowledge
Green Belt add on from Green Belt DMAIC
Black Belt without prior knowledge
Black Belt add on with DFSS Green Belt
Minitab Training
Minitab Basic
Minitab deepening work
Statistical methods of quality assurance with Minitab
Modular Training
Tolerance Management
QFD
MSA
DoE
Axiomatic Design
Functional analysis
Data based FMEA
Rapid miner
CIP Green Belt
Lean Basic
Lean Advanced
Statistical Methods
Data Mining
Process Mining
Industry 4.0
Six Sigma Leadership
Concept Design 4.0 Management Training & Workshop
References
Customers
Projects
Sucess Stories
Increased customer satisfaction
Error costs reduction in chocolate bar production
Productivity increase
Reduction of scrap
Mobile phones increased production
Implementation of Design for Six Sigma in the chemical research and development in Evonik Industries
Events
Six Sigma Congress
Photo Gallery
Contact
Search for:
Find out
the right approach
You know your business and its challenges best. Answer to our questionnaire to help us find the right approach for your business optimization!
Start now
CONSULTING SOLUTIONS
Questionnaire
2019-05-29T10:03:14+01:00
Step 1 of 2 - Define the challenge
50%
Lean
1. Do you have a lot of wasted time or even stocks caused by waiting, internal transport, long distances, change over and so on? Process chain isn't adjusted well?
*
Yes
No
2. We have already solved obvious process problems and bottle necks and now more complex problems are rising up.
*
Yes
No
3. Do you have many important process problems where the root cause is unknown ? There have been several trials to improve but no success up to now.
*
Yes
No
4. The root causes inside of processes are known, process output variables are capable and best process settings are in place.
*
Yes
No
5. Launches of new products, production lines or just processes are combined with much trouble shooting, scrap, rework, analysis. Fire fighting and reactive problem solving is part of the daily business.
*
Yes
No
6. There are no essential problems in the design of products and processes, the functionality as well as the basic performance is given.
*
Yes
No
7. Do you record and store many process parameters and also measured output data of products or processes. Are you interested in finding unknown patterns relationships and correlations inside of a big amount of data?
*
Yes
No
8. There is a poor amount of recorded data and root cause dependencies aren't part of business interests.
*
Yes
No
9. Do you have a lot of Smart devices, IT-systems and production equipment with an automatic measurement and recording? Are you interested in a suitable and goal oriented approach to combine your smart devices in an intelligent manner?
*
Yes
No
10. There has been realised a flexible and intelligent network of smart technologies and Big data analytics is in place, already.
*
Yes
No
*
all questions are mandatory
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*
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*
Phone
*
Company
*
Industry
*
Location
*
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*
Number of employees
*
Number of dependencies
*
*
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