Purpose of this capstone– In the automotive industry, electric vehicles are the future. Companies Like Ford and General Motors are heavily pushing towards being fully EV. Tesla has been a fully EV company and they’ve successfully built their brand up to become one of the leading EV companies. However EVs aren’t perfect, and companies may be deserting internal combustion engines, and hybrid vehicles a little too soon. There’s research that compares EVs, Hybrids, and I.C.E. vehicles together. The data will show which of the three options should be the option companies are staking their future on. Comparing EVs, Hybrids and I.C.E. vehicles from a quantitively position will yield data on recalls, affordability, sustainability, reliability, performance, range, safety and practicality. Using tools like Risk analysis will identify any potential risk each vehicle type has and the impact it has on its stakeholders. Cost analysis will compare the total cost of ownership for these vehicles, including purchase price, fuel/energy cost, and maintenance. Also using a Life cycle analysis comparing the environmental impact each vehicle type has during its Manufacturing stage, use stage, and its end of life stage. Using a Return on Investment tool will use different factors like consumer demand, market competition, and production cost to determine which vehicle type yields the investment. These are all things customers question when deciding which vehicle to choose. So it’s important for companies to assess these things as well to their consumers, and the market for the vehicles they sale.
This is a Quanitive paper so include a life cycle analysis, cost analysis, risk analysis, forecasting, return on investment and energy usage.
• Must include one stand-alone section on “Relevance to Engineering Management” of how your topic relates to Engineering Management (not course, or program but your specific topic and EM)
• No possessive tenses such as I, we, us, our, etc.
• REQUIRED SECTIONS: 1. Introduction, 2. Literature Review, 3. Methodology/Framework of Study, 4. Case Study, 5. Analysis, 6. Results Interpretation, 7. Validation, 8. Discussion from Managerial Perspective, Industry Perspective, and/or Academic Perspective, 9. Recommendations 10. Conclusion 11. Relevance to Engineering Management
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