Computational Thinking


Decision matrix for harvestone group llc lines

Applying Data

Our EDD team assayed through nearly 40 US Patents and chose a set of 9 patents to analyze further. The patents analyzed were in the domain of manual and autonomous swings. Additionally, certain mechanisms to convert manual swings into automatic swings were analyzed. To interpret the decision matrix, AFrames applied mathematical analyses and quantitative assessment methodologies to discern the most optimal solution for an autonomous and inexpensive swing. Our findings are presented in the decision matrix (see attached link).


Attachments
Decision Matrix
Mrc project solutions r1

Project Value

The project value sheet provides insights into project costs. These costs include people, materials, and marketing. The projected salaries of members were researched. Additionally, all components were analyzed based on economic efficiency.


Attachments
Project Value Sheet
Purple big data circular visualization clip art vector csp53577265

Visual Data

We at AFrames have assayed forty different swings and visually analyzed their components. We have investigated the pros and cons of all these swings. While matching the constraints and criteria of our swing, we assessed the viability of the mechanical aspects of the researched swings. The individual swings are visually represented through patent schematics and regular images.


Attachments
Visual Data
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Analyzing and Interpreting Data

Our current data analysis section consists of the decision matrix schematic created and the research report on forty previously designed swing mechanisms. AFrames planned for analyzing and interpreting swing data with the ACES School, but due to COVID-19, these tests were halted. View the decision matrix page in the attachment to see more.


Attachments
Decision Matrix