kordas, Autor w serwisie OpEx Group

Oct

By kordas Best Practice No Comments

Design of Experiments (DoE). How to design an experiment: the purpose of the DoE, choosing factors and testing levels, Part 1/6

How to plan an experiment? DoE (Design of Experiments), in our experience, is the most effective way to collect data and increase understanding of cause-effect relationships. What we learn from a DoE depends primarily on how we plan it. No level of analysis advancement will be helpful if the data we collect lacks knowledge – […]

Oct

By kordas Six Sigma No Comments

Six Sigma Levels – A Complete Guide to the Methodology

Six Sigma is one of the most popular quality management and process improvement methods, used in both industry and the service sector. Its goals are to increase process efficiency, reduce costs, and, above all, increase customer satisfaction. However, to effectively implement Six Sigma in an organization, it is essential to understand the hierarchy of roles […]

By kordas Best Practice No Comments

DMAIC or PDSA cycle?

What is needed for improvement – DMAIC or PDSA? Today’s pace of life and business is incredibly fast. We strive to keep up – both in our daily activities and in our long-term strategic plans. We want to act quickly, efficiently, and effectively. We expect ready-made solutions, best practices, and proven workflows. At first, it […]

By kordas Best Practice No Comments

Full Factorial Design, Design of Experiments, DOE – How to verify prediction model quality? PART 4/4

Below you will find the earlier parts of this article: PART 1 PART 2 PART 3 How to verify the quality of the model? How can we verify how accurately it predicts humidity for different settings of factors A, B, and C, and the AB interaction? It’s best to compare the humidity predicted by the […]

By kordas Best Practice, Six Sigma No Comments

Full Factorial Design, Design of Experiments, DOE – a mathematical model describing the effect of tested factor settings on humidity PART 3/4

Below you will find the earlier parts of this article: PART 1 PART 2 Mathematical model describing the influence of tested factor settings on humidity In our example, we consider the effects of factors A, B, and C, as well as the A*B interaction, to be important. From these effects, we will construct an equation […]

By kordas Best Practice No Comments

Full Factorial Design, Design of Experiments, DOE – defining significant factors and their interpretation PART 2/4

You can find the first part here: PART 1 Defining statistically significant effects To determine statistically significant effects, you need to draw a Pareto chart, i.e. plot the absolute values of the effects in descending order. Next, we calculate the level of the line that indicates statistically significant effects (professionally called ME, for Margin of […]

kordas

Design of Experiments (DoE). How to design an experiment: the purpose of the DoE, choosing factors and testing levels, Part 1/6

Six Sigma Levels – A Complete Guide to the Methodology

DMAIC or PDSA cycle?

Full Factorial Design, Design of Experiments, DOE – How to verify prediction model quality? PART 4/4

Full Factorial Design, Design of Experiments, DOE – a mathematical model describing the effect of tested factor settings on humidity PART 3/4

Full Factorial Design, Design of Experiments, DOE – defining significant factors and their interpretation PART 2/4

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