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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Lean Production (edX) EdX
Technische Universität München - TUM,TUMx

Lean Production (edX)

Engineering Statistics & Data Analysis

Immerse yourself in the world of lean production with our expert-led course. Master the art of streamlining operations, reducing waste, and boosting efficiency using proven methodologies such as 5S organization, continuous improvement (Kaizen), and just-in-time production. This course is designed for professionals looking to transform their workplace into a model of productivity and customer satisfaction.

Self Paced
Self-Paced
Productivity Quality Lean Management
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Six Sigma: Define and Measure (edX) EdX
Technische Universität München - TUM,TUMx

Six Sigma: Define and Measure (edX)

Engineering Statistics & Data Analysis

Embark on a journey into process improvement with 'Six Sigma: Define and Measure' from edX. This course introduces you to the core concepts of Six Sigma, focusing on the critical first two phases of the DMAIC cycle: defining your project goals and measuring current performance. Gain insights into how to apply these principles to enhance operational effectiveness and achieve higher levels of customer satisfaction.

Self Paced
Self-Paced
Lean Six Sigma Six Sigma DMAIC
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Six Sigma: Analyze, Improve, Control (edX) EdX
Technische Universität München - TUM,TUMx

Six Sigma: Analyze, Improve, Control (edX)

Engineering Statistics & Data Analysis

Embark on a journey to enhance your analytical skills and improve processes with 'Six Sigma: Analyze, Improve, Control'. This course will equip you with the knowledge to analyze process data, pinpoint root causes, develop effective solutions, and integrate quality management tools such as 8D and the 5 Whys. You'll also explore Design for Six Sigma (DFSS) methodologies.

Self Paced
Self-Paced
Statistics Quality Management Six Sigma
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