URGENT!!

The first step is to identify a problem that you are interested in solving. This problem can be big or small, but the trick is to start recognizing where there is potential for design improvement. You are surrounded by engineering innovation every day, and sometimes, it hides in some unlikely places. Engineering doesnt always have to mean building skyscrapers and rockets, it can be as simple as fixing something that annoys you in your everyday life. So as you identify a problem to solve, you may either consider something big, such as the challenges and problems facing our society, or simply focus on something that bothers you, your family, friends, and/or colleagues, such as home or office improvements. Just remember that the problem you identify should lead to a physical solution that can be represented by a 3D CAD model (as opposed to a process or policy change, etc.).

Once you have identified a problem, please continue working through the first couple stages of the engineering design process by doing the following:

Identify and list the customer(s) for the problem (who would be the end users of the solution to this problem?)

Identify and list the specific needs of your customer(s) (what are their pain points? What bothers them?). Feel free to interview potential customers.

Create and write down a problem statement or POV statement for the problem identified based on the customers and their needs.

Identify and create a list of at least three (3) design requirements

Identify and create a list of at least three (3) appropriate design criteria

Use an AHP to prioritize and give weightings to the design criteria

Brainstorm at least three (3) possible solutions to the problem identified and create a rough sketch (and description) for all three (3).

These design solutions should all solve the problem, fulfill all of your requirements, and should be significantly different such that they represent a wide range of feasible solutions.

Using a decision matrix, compare them and evaluate them against the prioritized list of criteria in order to choose the best design solution.

Consider the following when choosing solutions: how well do they meet the criteria? Are they feasible to build, test, and implement?