My capstone project was unique from everyone else, in my opinion. Most people organized an event and learned invaluable lessons about planning, budgeting, marketing, and many other lessons that can be learned from planning events. They learned lessons that one day I will hopefully learn; however, I am very thankful for not having an event based capstone. Doing research is not as flashy or exciting as having a 5k or having fundraising nights; but I believe it is equally beneficial. Although many people will never see or even hear about the research I did; it has shaped my life in ways that I did not expect. The research I have done has helped me become a better planner, a harder worker, and a more talented engineer. Yet, even greater than those
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Our test case was the 3 southernmost counties in Mississippi (Hancock, Harrison, and Jackson). We generated a random selection of data points based on recent hurricane disasters. So while the data was randomly generated, it reflected a scenario in which a hurricane hit southern Mississippi. Then using our algorithm, we were able to calculate the optimal values for this network. Our model returned a unique solution which means that our model was able to find the optimal value. If the model had returned 0 or many solutions then our model would not be finding the optimal value. After calculating the optimal values, we were able to verify the accuracy of our model through a few different factors. First, the more we used a truck the smaller the total cost of the entire network. This makes sense because it is cheaper to use trucks rather than drones. Also, as the drone’s velocity increased, the area it was able to serve increased. These were two of the many ways that we were able to verify the model. Now that the model has been finished, the paper is being revised and will soon be submitted to different journals with hopes of it being …show more content…
I learned a lot about research and what it is like. Research is a long sometimes tedious process where 90% of the time you do not see the light at the end of the tunnel. It often feels very jumbled and confused. However, a couple of weeks before finishing it all comes together in a beautiful picture. That is the beauty, in my opinion, of research. It is often a jumbled mess that seems out of place; but eventually it will all come together. I learned how important it is to plan well in the future. Dr. Maruf did a very good job of setting deadlines for each of us throughout the semester so that we would meet our goals. Without those deadlines, I do not think that we would have gotten everything accomplished like we did. Finally, I learned the value of hard work. I have always considered myself a hard worker; but the grad students and Dr. Maruf work very hard at their job. It instilled in me a desire to work harder and show that I belong. I am thankful for each of these lessons that I have learned; because they have shaped me for the better. This research has a few applications where it can be continued. First, once drones become better and more cost effective, this approach will be very useful in determining whether to use trucks or drones for all decisions. This will be very applicable to companies like Amazon and Fedex who may want to use drones to
Our test case was the 3 southernmost counties in Mississippi (Hancock, Harrison, and Jackson). We generated a random selection of data points based on recent hurricane disasters. So while the data was randomly generated, it reflected a scenario in which a hurricane hit southern Mississippi. Then using our algorithm, we were able to calculate the optimal values for this network. Our model returned a unique solution which means that our model was able to find the optimal value. If the model had returned 0 or many solutions then our model would not be finding the optimal value. After calculating the optimal values, we were able to verify the accuracy of our model through a few different factors. First, the more we used a truck the smaller the total cost of the entire network. This makes sense because it is cheaper to use trucks rather than drones. Also, as the drone’s velocity increased, the area it was able to serve increased. These were two of the many ways that we were able to verify the model. Now that the model has been finished, the paper is being revised and will soon be submitted to different journals with hopes of it being …show more content…
I learned a lot about research and what it is like. Research is a long sometimes tedious process where 90% of the time you do not see the light at the end of the tunnel. It often feels very jumbled and confused. However, a couple of weeks before finishing it all comes together in a beautiful picture. That is the beauty, in my opinion, of research. It is often a jumbled mess that seems out of place; but eventually it will all come together. I learned how important it is to plan well in the future. Dr. Maruf did a very good job of setting deadlines for each of us throughout the semester so that we would meet our goals. Without those deadlines, I do not think that we would have gotten everything accomplished like we did. Finally, I learned the value of hard work. I have always considered myself a hard worker; but the grad students and Dr. Maruf work very hard at their job. It instilled in me a desire to work harder and show that I belong. I am thankful for each of these lessons that I have learned; because they have shaped me for the better. This research has a few applications where it can be continued. First, once drones become better and more cost effective, this approach will be very useful in determining whether to use trucks or drones for all decisions. This will be very applicable to companies like Amazon and Fedex who may want to use drones to