Martin Grunow

Martin Grunow is a professor of production and supply chain management at Technische Universität München and an adjunct professor at Technical University Denmark, where he previously held a professorship in Operations Management. Earlier, he worked at Technical University Berlin and in the R&D department of Degussa, a multinational company producing special chemicals. His research interests are in production and logistics management with a focus on the process, electronics and automotive industries. He has coauthored more than 100 publications amongst others in International Journal of Production Economics, International Journal of Production Research, European Journal of Operational Research, CIRP Annals, Flexible Services and Manufacturing Journal, and OR Spectrum. For the latter two journals, he also acts as an editor. Martin Grunow has been on the program committee and track organizer of more than 30 international conferences and is an associate member of The International Academy of Production Engineering.
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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
No votes yet

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 )