I would like a quote on the attached. It's a PowerPoint prestation.
PowerPoint Presentation USA Automotive Industry U.S. Automotive Manufacturing Industry (Q4 – 2021) Vehicles sold in the U.S. (Q4 2021): 3,325,438 The U.S. Automotive Industry has grown faster than anything and the fastest among the industry is the Electric vehicle percentage which was next to 0 in the year 2015 and today it accounts for approximately 28% of the total automotive sales in the country. With the increase in awareness, it is predicted that by 2025 electric vehicles and hybrids will account for approximately 90% of the total automotive sales. Reference https://www.dieselforum.org/vehiclesales/u-s-vehicle-sales-dashboard 2 Vehicle Sales by Fuel Type CountDieselBEVHybridPlug-in931122.64000000013897868.261197157.68299289.42 Current Automotive Industry Trend The trend is increasing as we can see in the above chart were in the year 2018 diesel used to dominate the sales but it declined and declined further to reduce to 30% in 2021 and further it is predicted that the diesel share in the total share will be down to 10% by 2025 and the electric vehicle will catch up and account for approximately 50% of the total sales Reference https://www.dieselforum.org/vehiclesales/u-s-vehicle-sales-dashboard 3 Types of Vehicle (Trend) Total17196850170099251448691514924011Diesel20182019202020210.430.410.450.3125Electric20182019202020210.190.20.370.22750000000000001Hybrid20182019202020210.380.390.180.45999999999999996 Current Automotive Industry Trend (Customer Demands) The customer demand in the automotive industry is the highest because people buy automobiles to fulfil their desire and therefore they look for their favourite colour, white accounts for the maximum demand till date across the globe and in the USA, followed by Black and other colours. 4 Current Automotive Industry Trend (Body Type) Type20202019Y-o-Y20202019Y-o-Y Dec.Dec.Jan.-Dec.Jan.-Dec. Passenger Cars354,651397,951-10.9%3,519,0344,821,869-27.0% Light Trucks (Pickup Truck, SUV)1,264,4341,142,12210.7%11,058,33712,239,213-9.6% Total1,619,0851,540,0735.1%14,577,37117,061,082-14.6% The Passenger car growth has been declining ever since, and the same for pickup trucks and SUVS are increasing as can be seen in the above table, this gives only one indication that the overall market share of the SUV and pickup trucks is going to rise in the coming years because of the higher demands for those vehicle types. Reference https://www.marklines.com/en/statistics/flash_sales/automotive-sales-in-usa-by-month-2020 5 Trends in New Industry As seen in the above chart the most innovative trend in the automotive industry across the globe will be automation by 2030, where it is predicted that most the cars will be automated and new tech players will emerge to give rise to the technology and the production in the automotive industry, and also this trend is already started to grow in the USA with Tesla and other companies trying to manufacture automated vehicles. The present share of autonomous vehicles as a percentage of the total can be seen growing to about 5-7% by 2025 and later rising to 10-15% in 2030. Reference McKinsey & Company 6 Summary Both the automotive industry and technology are going to rule the world in the coming years like the automotive industry used to rule in the early and later 2000s. From the trends it is clear that for the automobile industry to grow it will need to integrate itself with the technology providers because it is estimated that the world will be dominated by tech, and in an automobile, the technology used will be of autonomous vehicles The data is not telling about the failure chances that technology has if it is not successful, this can be because of many reasons like faulty integration, or early innovation Technology will be dominating the world in this century and that is seen to date, but automobiles to catch up will need to integrate themselves with technology. Both the automotive industry and technology are going to rule the world in the coming years like the automotive industry used to rule in the early and later 2000s. From the trends, it is clear that for the automobile industry to grow it will need to integrate itself with the technology providers because it is estimated that the world will be dominated by tech, and in an automobile, the technology used will be autonomous vehicles. The data is not telling about the failure chances that technology has if it is not successful, this can be because of many reasons like faulty integration, or early innovation 7 Decision Making Model – The Rational Model The Rational Decision-Making Model (Simon 1979) is one of the most used methods while making any decisions as this model leverages objective data, logic and analysis to solve the problem or achieve the goal. Rational Decision-Making Model Steps: The Rational Decision-Making Model (Simon 1979) is one of the most used methods while making any decisions as this model leverages objective data, logic and analysis to solve the problem or achieve the goal. The 7-steps of rational decision-making model are: Define the problem Research and brainstorm possible solution Set Standards for success and failure Identify potential results for each solution Choose the best solution Test the solution for results If problem solved implement the solution, or test a new one Reference Simon, H. A. (1979). Rational decision making in business organizations. The American economic review, 69(4), 493-513. 8 Define the Problem Research and Brainstorm Solutions Set Standard for success and failure Identify potential results for each solution Choose the best solution Track the test for the solution If problem is solved implement, if not test new one Decision Making Model – The Intuitive Model The intuitive Decision Model is backed by intuition rather than facts and objectives, the decision-making model allows us to make decisions based on instincts (Sauter 1999). The Intuitive Decision Making Model is beneficial when the decisions are of low value and no data or analysis are there to back the decision. Problems with this are: Short-term emotional bias Flawed Information The intuitive Decision Model is backed by intuition rather than facts and objectives, the decision-making model allows us to make decisions based on instincts. The Intuitive Decision-Making Model is beneficial when the decisions are of low value and no data or analysis are there to back the decision. This decision-making model has a lot of flaws like flawed information, bias and lot many which can make the decision go wrong, therefore this model is not used in high stakes scenarios. Reference Sauter, V. L. (1999). Intuitive decision-making. Communications of the ACM, 42(6), 109-115. 9 Decision-Making Model – The Recognition-Primed Model The Recognition-Prime Decision Making Model is used in scenarios where the time to act is less and therefore one needs to act quickly based on the information that is available and this is where this decision-making model is most effective. The three steps in this decision-making model are: Experiencing the situation Analysing the situation Implementing the decision The Recognition-Prime Decision Making Model is used in scenarios where the time to act is less and therefore one needs to act quickly based on the information that is available and this is where this decision-making model is most effective. The decision-making model is based on experiencing the situation and analysing it, and later implementing the decision and this is why this is a fast and effective one because the data which is present with the person can gather their thoughts around it and implement it. Reference Ross, K. G., Klein, G. A., Thunholm, P., Schmitt, J. F., & Baxter, H. C. (2004). The recognition-primed decision model. ARMY COMBINED ARMS CENTER FORT LEAVENWORTH KS MILITARY REVIEW. 10 Selection of Decision Making Model Selected Model: The Rational Decision-Making Model The model selected for the project is the rational decision-making model because to analyse the project we have time and the data, and therefore to best present the results it is best to analyse the situation, collect the data and then take a decision to act on. The rational model is selected because of the time and the data available for the project, and therefore it is best to collect all the data and take a decision based on the data which will be a full proof decision which has high chances of succeeding. 11 Thank You