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User \newlineThe car factory can make a maximum of 160160 vehicles per week.\newlineIt takes 2020 hours of labour to make a LENCIO and 1212 hours for a STEM.\newlineEach LENCIO uses 550550kg and a STEM uses 11001100kg of components to make. \newline The factory has 24002400 hours of labour and 154,000154,000 kilograms of components available to use.\newlineThey have to make at least 5050 STEMS a week to meet an existing contract.\newlineThe factory makes a profit of $8700\$8700 for every LENCIO and, $6,800\$6,800 for every STEM they sell. How many LENCIO and STEM cars do Zapp Automotive need to make each week to maximise their profit?

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Q. User \newlineThe car factory can make a maximum of 160160 vehicles per week.\newlineIt takes 2020 hours of labour to make a LENCIO and 1212 hours for a STEM.\newlineEach LENCIO uses 550550kg and a STEM uses 11001100kg of components to make. \newline The factory has 24002400 hours of labour and 154,000154,000 kilograms of components available to use.\newlineThey have to make at least 5050 STEMS a week to meet an existing contract.\newlineThe factory makes a profit of $8700\$8700 for every LENCIO and, $6,800\$6,800 for every STEM they sell. How many LENCIO and STEM cars do Zapp Automotive need to make each week to maximise their profit?
  1. Define Variables: First, let's define the variables:\newlineLet LL be the number of LENCIO cars produced per week.\newlineLet SS be the number of STEM cars produced per week.
  2. First Constraint: The factory can make a maximum of 160160 vehicles per week. This gives us our first constraint:\newlineL+S160L + S \leq 160
  3. Second Constraint: It takes 2020 hours of labor to make a LENCIO and 1212 hours for a STEM. The factory has 24002400 hours of labor available. This gives us our second constraint:\newline20L+12S240020L + 12S \leq 2400
  4. Third Constraint: Each LENCIO uses 550kg550\,\text{kg} and a STEM uses 1100kg1100\,\text{kg} of components. The factory has 154,000kg154,000\,\text{kg} of components available. This gives us our third constraint:\newline550L+1100S154,000550L + 1100S \leq 154,000
  5. Fourth Constraint: They have to make at least 5050 STEMS a week to meet an existing contract. This gives us our fourth constraint:\newlineS50S \geq 50
  6. Objective Function: The factory makes a profit of $8700\$8700 for every LENCIO and $6,800\$6,800 for every STEM they sell. We want to maximize the profit, so our objective function to maximize is:\newlineProfit = 8700L+6800S8700L + 6800S
  7. Solve System of Inequalities: Now we need to solve the system of inequalities to find the number of LENCIO (LL) and STEM (SS) cars that maximize the profit. This is a linear programming problem that can be solved using methods such as graphing the feasible region, using the Simplex method, or computational tools.\newlineHowever, since we are not using computational tools here, we will check the corner points of the feasible region determined by the constraints to find the maximum profit.
  8. Find Corner Points: First, we need to find the corner points of the feasible region. We do this by solving the system of equations obtained from the constraints. We will find the intersection points of the lines formed by the constraints.
  9. Intersection Point 11: Let's find the intersection of 20L+12S=240020L + 12S = 2400 and L+S=160L + S = 160 by solving these two equations simultaneously.\newlineFrom L+S=160L + S = 160, we get L=160SL = 160 - S.\newlineSubstitute LL in the first equation: 20(160S)+12S=240020(160 - S) + 12S = 2400.
  10. Intersection Point 22: Solving for SS, we get:\newline320020S+12S=24003200 - 20S + 12S = 2400\newline8S=8008S = 800\newlineS=100S = 100\newlineThen, L=160S=160100=60L = 160 - S = 160 - 100 = 60\newlineSo one corner point is (L,S)=(60,100)(L, S) = (60, 100).
  11. Consider Additional Points: Next, let's find the intersection of 550L+1100S=154,000550L + 1100S = 154,000 and L+S=160L + S = 160. From L+S=160L + S = 160, we get L=160SL = 160 - S. Substitute LL in the first equation: 550(160S)+1100S=154,000550(160 - S) + 1100S = 154,000.
  12. Calculate Profit - Point 11: Solving for SS, we get:\newline88,000550S+1100S=154,00088,000 - 550S + 1100S = 154,000\newline550S=66,000550S = 66,000\newlineS=120S = 120\newlineThen, L=160S=160120=40L = 160 - S = 160 - 120 = 40\newlineSo another corner point is (L,S)=(40,120)(L, S) = (40, 120).
  13. Calculate Profit - Point 22: We also need to consider the points (L,S)=(0,160)(L, S) = (0, 160) and (L,S)=(160,0)(L, S) = (160, 0), which are the intersections of each constraint with the axes, and the point (L,S)=(L,50)(L, S) = (L, 50) which is the minimum number of STEM cars that need to be produced.
  14. Calculate Profit - Point 33: Now we calculate the profit for each of these corner points:\newlineFor (60,100)(60, 100): Profit =8700×60+6800×100=522,000+680,000=1,202,000= 8700\times60 + 6800\times100 = 522,000 + 680,000 = 1,202,000\newlineFor (40,120)(40, 120): Profit =8700×40+6800×120=348,000+816,000=1,164,000= 8700\times40 + 6800\times120 = 348,000 + 816,000 = 1,164,000\newlineFor (0,160)(0, 160): Profit =8700×0+6800×160=0+1,088,000=1,088,000= 8700\times0 + 6800\times160 = 0 + 1,088,000 = 1,088,000\newlineFor (160,0)(160, 0): Profit =8700×160+6800×0=1,392,000+0=1,392,000= 8700\times160 + 6800\times0 = 1,392,000 + 0 = 1,392,000\newlineFor (L,50)(L, 50): We need to find the maximum LL that can be produced with the remaining constraints.
  15. Calculate Profit - Point 44: To find the maximum LL when S=50S = 50, we use the labor constraint:\newline20L+12×50240020L + 12\times50 \leq 2400\newline20L+600240020L + 600 \leq 2400\newline20L180020L \leq 1800\newlineL90L \leq 90\newlineSo the maximum LL we can produce is 9090 when S=50S = 50.
  16. Calculate Profit - Point 55: Now we calculate the profit for (90,50)(90, 50):\newlineProfit =8700×90+6800×50=783,000+340,000=1,123,000= 8700\times90 + 6800\times50 = 783,000 + 340,000 = 1,123,000
  17. Find Maximum L: Comparing all the profits, we see that the maximum profit is when (L,S)=(60,100)(L, S) = (60, 100), which gives a profit of $1,202,000\$1,202,000.

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