Statistical Tools for the Pharmaceutical Industry - external event

About this workshop:
Manufacturing pharmaceutical products for consumption requires many decisions to be made from the results of statistical analysis. Using Minitab 19, we will take you through three common challenges faced by pharmaceutical manufacturers, resulting in increased customer satisfaction, reducing operating costs, and increasing profits.

• How does a quality improvement team monitor injection moulding process changes over time using control charts?
• How is capability analysis used by quality engineers to measure drug dissolution time to show that a high proportion of tablets can meet a targeted specification?
• How does a tablet manufacturer use a sampling plan for a final inspection before the product is shipped? 

Delegates are required to bring a laptop with Windows OS. A copy of Minitab 19 will be provided before the workshop.

About the facilitator:
Ming Dong is one of only a handful of practitioners across the Asia-Pacific Region to be a certified trainer for Minitab’s flagship product, Minitab Statistical Software. The training certification process is the culmination of years of statistical training with real-life application of data analysis in the industry.

Ming’s formal qualifications include an undergraduate degree in Industrial Engineering Management, a Masters of Computer Science from the University of New South Wales, and a Masters of Applied Statistics from Macquarie University. Ming has a unique and profound understanding of the application of statistics in the business world, with broad business development experience developed through his work in senior technical roles for large organisations such as Toshiba, OzEmail and National Computing Systems Singapore. As a university research officer at Macquarie University, he had several papers published in the field of Bioinformatics.

Cost
$149, incl. GST (includes light refreshments)

For more information, and to register, please click here. 

Minitab is a proud sponsor of YSC2019.