Final answer:
To solve the problem using linear programming in Matlab, use variables for units delivered, workers instructing trainees, and trainees assigned to the assembly line. Set the objective function to maximize total profit. Set constraints for units delivered, worker productivity, worker and trainee relationship, and payroll. Solve for the optimal solution using linear programming techniques.
Step-by-step explanation:
The given problem can be formulated as a linear programming problem in Matlab using the variables as follows:
- x1, x2, x3: Number of units delivered by the end of the first, second, and third week respectively.
- y1, y2, y3: Number of workers assigned to instruct trainees in the first, second, and third week respectively.
- z1, z2, z3: Number of trainees assigned to the assembly line in the first, second, and third week respectively.
The objective function is to maximize the total profit, which is the difference between the revenue and wages. The constraints are:
- Number of units delivered cannot exceed the required 2400 units: x1 + x2 + x3 = 2400.
- Each worker can assemble a maximum of 40 units per week: 40x1 + 40x2 + 40x3 <= 40y1 + 40y2 + 40y3 + 40z1 + 40z2 + 40z3.
- Each worker can instruct at most two trainees: y1 <= 2z1, y2 <= 2z2, y3 <= 2z3.
- All workers must be kept on the payroll until the end of the project: y1 + y2 + y3 = 15.
- Non-negative constraints for all variables: x1, x2, x3, y1, y2, y3, z1, z2, z3 >= 0.