Katapult-DOE (Design of Experiments)

With this catapult, the Lego castle and the simulation instructions, getting started with statistical data analysis is child's play. With its variable use and simple construction, the catapult is perfect for practically presenting DOE methodologies, understanding Six Sigma, statistical process control and MSA training. Especially as a student or trainer, teaching materials are often very expensive, with this simple Lego construction you can map up to 7 factors with up to four levels (expandable) and it is suitable for training and data recording for the different statistical methods. Since the catapult is based on Lego, it can of course be expanded and optimized as desired. For a simulation for 25 students, you usually need 4 catapults, the projectiles, rubber bands, data collection sheets, 1 folding rule, 1 tape measure, aluminum foil and detailed DOE instructions with DOE solution path and a technical physical analysis, the assembly instructions for the catapult and the Castle and the Lego parts list.

  • Build Catapult

    Building a Lego catapult can be an entertaining and instructive project. Here there is a simple guide on how you can create a basic DOE LEGO catapult: Components that you need: Can order the bricks online fromthe LEGO webpage or at your local LEGO shop.

  • Identification of variables (factors)

    First, the variables or factors that could have an impact on the result to be examined are identified. These factors can be parameters of a product or production technology, such as materials, dimensions, temperatures, pressures, etc.

  • Setting the Settings

    Various settings or steps are selected for each identified factor that are to be examined. These settings represent the range of possible values ​​that the factor can take. For example, the temperature in levels such as "low", "medium" and "high" could be varied.

  • Structure of the experimental design

    A test plan is created that specifies which combinations of settings are tested for the various factors. This plan can be developed using statistical methods to ensure that the effects of the factors on the result are efficiently analyzed.

  • Carrying out the experiments

    The experiments are carried out according to the test plan. Every combination of settings is tested and the results are recorded carefully.

  • Data collection and analysis

    The data recorded is analyzed to determine how the various factors influence the examined result. Statistical methods are used to identify relationships, trends and patterns.

  • Interpretation of the results

    The results are interpreted to understand how the factors interact with each other and what influence they have on the result. This can help identify optimal settings for the factors in order to maximize or optimize the desired result.

  • Training and capacity building

    Training and capacity structure are important aspects to expand and strengthen the knowledge, skills and expertise of individuals or teams. They play a decisive role in different areas, including education, companies, technology and science. Here are the two concepts in detail:

  • Skill development

    Development of practical skills and technical knowledge that can be applied in real situations. Improvement in performance: increase in individual or team performance in relation to specific tasks or work processes. Adaption of new technologies: introduction of new tools, technologies or procedures and training of employees You can be used. Personal development: promoting soft skills such as communication, teamwork, problem solving and time management.
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