A mechanical ventilator is a machine that can be used to support patients with severe respiratory conditions that impact the lungs, including pneumonia (which is a significant risk factor for COVID-19 patients). Before a patient is placed on a ventilator, medical staff will perform a procedure called intubation. After the patient is sedated and given a muscle relaxant, a tube is placed through the mouth and into the windpipe. A lack of ventilators can endanger lives, so health authorities around the world are doing their utmost to procure more for medical facilities treating COVID-19 patients. You work with a major car manufacturer, and the government has asked you for help in creating more ventilators in order to cope with the ventilator shortages in the hospitals in your country. Even though this is for public good, you also want to make sure that you are not putting your organisation at a financial risk in the process of developing these ventilators. As the head of finance, you have been asked to investigate ventilator options, the cost of producing them and the resources required to do so. After some research, you found that there are many ventilator options available to attend to a variety of patient needs. Examples include: Home care ventilatorsTransport ventilatorsLow, medium and high-acuity ventilatorsHigh-frequency ventilatorsNon-invasive positive pressure ventilation/continuous positive airway pressure (NPPV/CPAP), biLevel positive airway pressure (BIPAP) systemsDifferent ventilators also have different gas delivery designs, including turbine-based air supply and proportional solenoid (PSOL) valve control or a combination of the two systems. Costs for these ventilators can range from $5,000 to $50,000, but new developments indicate that comparable ventilators can be made using just $100 worth of parts. You discover a team from MIT that is doing exactly that, and they have published a paper with the specifications and descriptions of these ventilators. You decide that if you want to manufacture these cheaper ventilators, you would do so by following a similar process. After some research, you realise that there are two production options for these cheaper ventilators. For simplicity, we will refer to these ventilator types as Type X and Type Y. With the machinery you have right now, you see that you can create 200 Type X ventilators per hour and 140 Type Y ventilators per hour. After some calculations, you note that the profit per Type X ventilator is $25 and the profit per Type Y ventilator is $30. You have also discovered that in a week you can create a maximum of 6000 Type X ventilators and 4000 Type Y ventilators because of the person-hours and capacity of specialists available to you. Note that you have only 40 hours per week to produce them. Developing your problem statement In this project, you must apply the techniques of machine learning and linear programming to determine the following: Is it feasible to produce any type of ventilator and sell them?Which type of ventilator can give more profit to the company? This will help you decide if you want to produce them.Is it better to produce only one type of ventilator or both? If you decide to produce both, in what proportion should each be produced? Finally, you will have to calculate the final profit of the production of ventilators. You should include in your analysis what would happen if your product presents any defects, how to compete in a market that is new for you and what you would do if you overproduce ventilators or they undersell. If necessary, you should be willing to challenge the validity of the number of ventilators to produce given in the description above. For the sake of framing a problem, think about other variables and situational considerations that can impact your organisational initiatives. For example, are there competitors to consider in the marketplace? How will regulation structures affect the timelines related to prototyping, approval, production and distribution? In considering some of these questions, you might need to conduct some additional research to identify the data that can inform your approach. Your final assignment must be submitted in either a PowerPoint or a PDF format. Optionally, you may add a two-three-minute video presentation of your Capstone project. Here is the breakdown of the slides and the information that must be included on each of them in your final submission. Please note that all of the following content must be included in order for this Capstone to be graded as complete. Slide(s)Required content1HypothesisState the hypothesis regarding the problem you are addressing (If/Then statement).2Method selection You must apply at least one of the methods seen in this course. Explain your selection of the method by answering the following questions: Which method(s) have you chosen and why? What steps have you followed?3, 4Visualisations and organisational challengesInclude two or three plots or visualisations that explain the project to the people in your organisation. These visualisations may include real or mock-up data. Share your interpretations of the visualisations. List any organisational challenges you anticipate and how you will overcome them.5,6Conclusions and anticipated resultsState the conclusions you might draw as well as your anticipated results.7Follow-up questionsDepending on your anticipated results, suggest at least two more questions that would be interesting to ask as follow-ups.
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