Archiwa OpEx stories - Page 2 of 3

Nov

By kordas OpEx stories No Comments

Design of Experiments (DoE). What to measure during an experiment and what experimental design to choose, Part 2/6

The first part of the article in which we established the goals of the experiment, selected factors and their testing levels,, can be found here PART 1 What will we measure during DOE? 1. Y, or preferably the main Ys, are numerical metrics describing the effect of the tested factors We therefore need to measure […]

Oct

By kordas OpEx stories 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 – […]

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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 […]

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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 OpEx stories, 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 […]

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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 […]

OpEx stories

Design of Experiments (DoE). What to measure during an experiment and what experimental design to choose, Part 2/6

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

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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