Bruno Scibilia

Technical training specialist

Bruno Scibilia is a technical training specialist and leads several Minitab public training courses in Paris. He joined the Paris-based Minitab office in 2007 as a technical support specialist responding to customer queries regarding installation and use of Minitab Statistical Software and the project management software, Quality Companion. Prior to joining Minitab, Scibilia worked as a statistical engineer in the semiconductor industry for six years, and was a practitioner of quality improvement statistical techniques within a manufacturing company for a number of years. He has a Ph.D. in design of experiments and he is an ASQ-certified Six Sigma Black Belt.

Tue, 02/28/2017 - 12:01
How Taguchi Designs Differ From Factorial Designs According to Taguchi, optimizing a process is not sufficient
Tue, 02/28/2017 - 12:01
Genichi Taguchi is famous for his pioneering methods of robust quality engineering. One of the major contributions that he made to quality improvement methods is Taguchi designs. Designed experiments were first used by agronomists during the last…
Creating Value From Your Data A simple example of the benefits of analyzing an enormous database
Tue, 09/27/2016 - 14:37
There may be huge potential benefits waiting in the data in your servers. These data may be used for many different purposes. Better data allow better decisions, of course. For instance, banks, insurance firms, and telecom companies already own a…
Using Multivariate Statistical Tools to Analyze Customer Data Efficient methods for computing survey results
Wed, 07/06/2016 - 16:38
Businesses are getting more and more data from existing and potential customers. Whenever we click on a website, for example, it can be recorded in the vendor’s database, and whenever we use electronic ID cards to access public transportation or…
A DOE in a Manufacturing Environment, Part 2 A pragmatic and accurate approach to adjusting and optimizing processes
Tue, 04/26/2016 - 11:17
In yesterday’s column, I discussed how a DOE was chosen to optimize a chemical-mechanical polishing process in the microelectronics industry. This important process improved the plant’s final manufacturing yields. We selected an experimental design…
A DOE in a Manufacturing Environment, Part 1 A tool for quickly identifying correct process settings
Mon, 04/25/2016 - 16:25
Ionce worked in the manufacturing industry. Some processes were so complex that even a very experienced and competent engineer would not necessarily know how to identify the best settings for the manufacturing equipment. You could make a guess…
It’s Always Better to Perform a Design of Experiments Changing one factor at a time is less effective
Thu, 04/14/2016 - 17:01
Sponsored Content Suppose that on your way to a summer holiday resort (a very distant place), your car breaks down. You might just call roadside assistance and wait for your car to be towed to a repair shop. But suppose that you think you’re…
How Could You Benefit From the Cpm Capability Index? The Cpm is an effective tool for avoiding component mismatches
Wed, 04/29/2015 - 16:00
The Cp and Cpk are well-known capability indices commonly used to ensure that a process spread is as small as possible compared to the tolerance interval (Cp), or that it stays well within specifications (Cpk). Yet another type of capability index…
How Could You Benefit From Monte Carlo Simulation to Design New Products? As we move into an innovation-driven economy, this approach will become more important
Tue, 03/31/2015 - 11:37
Suppose you have designed a brand-new product with many improved features that well help create a much better customer experience. Now you must ensure that it’s manufactured according to the best quality and reliability standards so that it gets…
How Politicians and Governments Could Benefit From Statistical Analyses Hypothesis testing in the policy realm
Wed, 10/15/2014 - 14:02
Using statistical techniques to optimize manufacturing processes is quite common now, but using the same approach on social topics is still an innovative approach. For example, if our objective is to improve student academic performances, should we…
Five Ways to Make Your Control Charts More Effective Speed analysis, account for atypical periods, and manage SPC alerts
Mon, 03/31/2014 - 13:41
Have you ever wished your control charts were better? More effective and user-friendly? Easier to understand and act on? I’ll share some simple ways to make statistical process control (SPC) monitoring more effective in Minitab. I worked for…