Hi, I’m Sanjeev and am working as a designer for interiors of business aircraft, specifically bombardier G7000 series aircraft, which involves material selection for finishes, size and shape of panels keeping weight and stress of materials in mind. My current Job involves a lot of data reg materials and various fasteners, I always wanted to make a selection of these materials more automatic and provide a recommendation to other designers so the idea motivated me to learn data science. During designing, I had to make a decision while selecting a tie rod (a spare part used in aircraft) based on different constraints, so applying OT was way easier in making the selection.
The selection procedure was more of a trial and error method and was time-consuming and lot of the human effort involved and also the risk that comes with human effort. I used Optimization Techniques which helped me to select a specific tie rod considering all the constraints mentioned. I decided Optimization Technique to solve my problem as similar kind of problems were already been solved in the classroom, which was very simpler for me to understand the problem and apply OT, and main key factors were a number of constraints like length and weight of the toe rod, stress holding capacity of the tie rod, etc. to be applied to select the best tie rod.
The steps that were implemented involved understanding the problem and exploring all the options of models and techniques like Logistic Regression and OT etc. and deciding the best suitable technique based on the problem statement and applying the constraints and solving the mathematical equation and getting the result. The main challenge was to incorporate the available constraints in mathematical form and form an equation which happened with a lot of brainstorming. The model I built using OT was able to reduce the time effort by 40% of a designer to select the tie rod and the same concept was ready to use for other finish materials by changing the constraints. The solution was to provide the best-fit tie rod in a limited period of time to save human effort and avoid risks associated with the same model can be used for other finish materials by altering the constraints.
The entire selection process was made easy by using the tool, which saved human effort by 40% for each case. It helped me a lot in getting recognition in my team, and it opened a lot of other opportunities related to data which boosted my confidence.
