Supplier's Quality Management 4.0 - An Aerospace Industry Case

March 02, 2021 | 07:00:AM - 07:00:PM CT

  • Making the Most of Data Mining and Visualization

  • On-Demand Videos

Speaker(s)

Speaker Profile Picture

Enner S. Duarte

Supplier's Quality Engineer

Embraer 

Speaker Profile Picture

Valério Lucindo Araujo

Embraer

Speaker Profile Picture

Daniela Benedini

Supplier's Quality Engineer

Embraer S.A.

Speaker Profile Picture

Breno De Almeida Sa

Software Engineer

Embraer

The analytical part of Data Science (Operations Research / Management Science) has been around since WWII. These techniques were used for specialized problems, often needing specialized software tools, and were prohibitively expensive. Today, the computing power available to a quality professional makes these analytical tools more widely available. An example of this is Minitab incorporating neural networks and machine learning into their product. To the average Black Belt these analytical tools are unknown but can provide some valuable assistance as they interact with SME's, process workers, and performance improvement team members. This presentation will give a brief history of some of the Operations Research / Management Science techniques available. Secondly, the presentation will match these different tools to the various phases of DMAIC and provide some potential examples of their application. Finally, some of these techniques will be displayed as examples in MS Excel. In addition to the presentation slides, there will be a spreadsheet with some of these examples available to the attendees. A portion of this pJunqueira Benediniresentation was recently given as a webinar to a local ASQ section. CLICK HERE to complete the survey for Enner Sampaio Duarte CLICK HERE to complete the survey for Valério Lucindo Araujo CLICK HERE to complete the survey for Daniela Junqueira Benedini CLICK HERE to complete the survey for Breno De Almeida Sa