by Andreas Kleinert | May 28, 2019 | Case Study: Statistics for Processes
Hundreds of potential influence factors and no clue which might be guilty for the production losses? As traditional statistical methods came to their limits we successfully helped to increase yield using Data Mining and Machine Learning approaches by 5%.
by oConsulting | May 7, 2019 | Case Study: Statistics for Processes
At a global Food producer we provided training and implementation support on Measurement System Analysis to ensure lab test methods are accurate, precise and stable. Thus, the trained team became role-model for the company’s European and Middle-Eastern...
by oConsulting | Feb 6, 2019 | Case Study: Statistics for Processes
When a medical devices company tested their upgraded surgical system used for life-saving operations, previously unknown system crashes occurred. Building on Design Of Experiments (DOE) as a powerful tool for determining specific factors affecting defect levels in a...
by oConsulting | Sep 23, 2018 | Case Study: Statistics for Processes
We designed and implemented Continued Process Verification (CPV) at a mid-sized pharma manufacturing company to improve quality KPIs while meeting regulatory requirements. Training and coaching involved all employees applying statistics. The results showed the most...
by oConsulting | Sep 17, 2018 | Case Study: Statistics for Processes
Changing a product comes with risks, and test results are sometimes hard to interpret. This automotive project helped a first tier automotive company to systematically identify and follow-up on potential root causes of a prototype development failure by methodically...
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