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When you need on-site attention, we’re not just here to help, we’re there to help—right by your side.
Individual courses are remarkably effective. But sometimes when you have a specific need, it helps to have expert guidance right in the room with you and your team.
In that case, we’re happy to design a custom training for your entire team, whether online—or on-site.
Learn moreRemember – at checkout you can choose to take this course On-demand. We offer a 10% group discount when you register 2 of more attendees (up to 10). Contact us for larger groups.
Focus on Life Sciences and Manufacturing
Product variability can have costly consequences for a manufacturer, ranging from rework, scrap, recalls all the way up to severe damage to a business reputation.
This 90-minute accredited training course will introduce the attendees to tools that will help fight product variability in the design stage, monitor the behavior of the process and methodologies to inspect the finished product to assure adherence to specifications.
The course material will be addressed openly with interactive participation encouraged and includes opportunities to learn from relevant case studies and real-life examples.
For maximum training benefit, participants are encouraged to attend the entire 4-part series.
Statistics and Probability Tools for the Non-Statistician , Course ID #3004
Applied Statistics. Design of Experiments and Taguchi Methods , Course ID #3005
Applied Statistics. Statistical Process Control Course , Course ID #3006
Introduction to Stochastic Processes and Queue Theory with Applications , Course ID #3007,Focus on Life Sciences and Manufacturing
Product variability can have costly consequences for a manufacturer, ranging from rework, scrap, recalls all the way up to severe damage to a business reputation.
This 90-minute accredited training course will introduce the attendees to tools that will help fight product variability in the design stage, monitor the behavior of the process and methodologies to inspect the finished product to assure adherence to specifications.
The course material will be addressed openly with interactive participation encouraged and includes opportunities to learn from relevant case studies and real-life examples.
For maximum training benefit, participants are encouraged to attend the entire series.
Statistics and Probability Tools for the Non-Statistician , Course ID #3004
Applied Statistics. Design of Experiments and Taguchi Methods , Course ID #3005
Applied Statistics. Statistical Process Control Course , Course ID #3006
This course will benefit professionals with basic level understanding of probability theory and statistics, who want to expand their knowledge and apply these mathematical tools in research and manufacturing. Attendees who will benefit from the course are: scientists, engineers, operations personnel, quality control professionals and any other individual involved in manufacturing and R&D.
Due to the broad application of the topic, professionals from many industries will find the course very worthwhile. It will be applicable to the food, cosmetics, biopharma, pharmaceuticals, specialty chemicals and other industries.
Herberto Dutra
Sr. Manager - Engineering
Herberto Dutra, Mechanical Engineer has over 30 years of experience in processing industries with careers at Kraft Foods, Nestle, Bay Valley and Sentient, including 20 years of hands-on experience in Spray Drying. Mr. Dutra's expertise ranges from pilot plant scaling up, design and construction of numerous Spray Drying plants, day-to-day operation, troubleshooting and optimization. Academically, Mr. Dutra holds a Bachelor's Degree in Mechanical Engineering from UERJ (Rio de Janeiro, Brazil), an MBA from Keller Graduate School and a Master's in Mechanical Engineering from Purdue University.
Through his employers, Mr. Dutra has written and taught a number of training courses in Spray Drying, Powder Handling, Agglomeration, Liquids Handling, Cooking Processes, Plant Design , Packaging and many other programs developed for operations professionals, engineering, scientists, etc.