Holly Ott

Holly Ott is a senior lecturer in operations management at Technische Universität München and professor of engineering and business at the Bavarian University of Applied Sciences and Management (Hochschule der Bayerischen Wirtschaft), and an adjunct professor in operations management at Singapore Management University. She holds a Ph.D. in electrical engineering from the University of Virginia and has worked for twelve years in semiconductor quality and supply chain in the USA, Europe and Asia for Siemens, Motorola, IBM and Infineon. Her work has been in the areas of device simulation, electrical and reliability testing, and quality and supply chain management. She is the program chair for the Singapore Semiconductor Industry Association's Supply Chain Forum and academic director of the TUM Case Center.
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Six Sigma: Analyze, Improve, Control (edX)

Learn how to statistically analyse process data to determine the root cause for process problems, to propose solutions, and to implement quality management tools, such as 8D and the 5 Whys, as well as the concept of Design for Six Sigma (DFSS).
4
Average: 4 ( 3 votes )

Six Sigma: Define and Measure (edX)

An introduction to the Six Sigma methodology and DMAIC cycle for process improvement with a focus on the Define and Measure phases. In this course, you will start by gaining an understanding of the background and meaning of Six Sigma and the five steps of the DMAIC process improvement [...]
0
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Lean Production (edX)

Learn how to apply key elements of lean manufacturing, such as 5S and Kaizen, to organizational processes to improve quality and productivity. Learn about lean management, a customer-centric methodology that improves processes by eliminating waste and focusing on value-added tasks. This course will introduce the main tenets of the [...]
9
Average: 9 ( 3 votes )

Six Sigma: Analyse, Improve, Control (edX)

Learn how to statistically analyse process data to determine the root cause for process problems and propose solutions and to implement quality management tools, such as FMEA, 8D and the 5 Whys. Learn how to analyse data with the Six Sigma methodology using inferential statistical techniques to determine confidence [...]
9
Average: 9 ( 2 votes )

Fundamentals of Six Sigma: Quality Engineering and Management (edX)

Cover the fundamentals for quality engineering and management, including the statistics at a Six-Sigma Green Belt level applied to the DMAIC (Define, Measure, Analyze, Improve, Control) process-improvement cycle.
0
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Quality Engineering & Management (edX)

Cover the fundamentals for quality engineering and management, applied to the DMAIC (Define, Measure, Analyze, Improve, Control) process-improvement cycle.
10
Average: 10 ( 2 votes )