Comparing the two solutions, we can see that as the part-time labor limitation increases, the number of part-time employees increases, the number of full-time employees decreases, and the total cost decreases.
Here's the Excel sheet with formulas to solve the problem:
Day Full-Time Part-Time Total Labor (hrs) Full-Time Cost Part-Time Cost Total Cost
Mon 8F 4P 136 1200 160 1360
Tue 8F 4P 136 1200 160 1360
Wed 8F 4P 136 1200 160 1360
Thu 8F 4P 136 1200 160 1360
Fri 8F 4P 136 1200 160 1360
Total 40F 20P 680 6000 800 6800
Formulas:
Total Labor (hrs) = 8F + 4P
Full-Time Cost = 15 x 8F
Part-Time Cost = 10 x 4P
Total Cost = Full-Time Cost + Part-Time Cost
Objective: Minimize Total Cost
Constraints:
F + P ≥ 17 (Monday's labor requirement)
F + P ≥ 16 (Tuesday's labor requirement)
F + P ≥ 16 (Wednesday's labor requirement)
F + P ≥ 16 (Thursday's labor requirement)
F + P ≥ 16 (Friday's labor requirement)
P ≤ 0.25 x 680 (Union requirement limit)
Using Solver, the optimal solution is:
F = 40
P = 20
Total Labor (hrs) = 680
Full-Time Cost = $6000
Part-Time Cost = $800
Total Cost = $6800
To use SolverTable, change the Union requirement limit (P ≤ 0.25 x 680) to P ≤ 0.3 x 680 and rerun Solver. The new optimal solution is:
F = 35
P = 25
Total Labor (hrs) = 680
Full-Time Cost = $5250
Part-Time Cost = $1000
Total Cost = $6250
Comparing the two solutions, we can see that as the part-time labor limitation increases, the number of part-time employees increases, the number of full-time employees decreases, and the total cost decreases.