a)
Total cost = $841
b)
Number of crews from FL1 to NC4 = 6
c)
Number of crews from FL2 to VA2 = 5
d)
FL2 didn't send all its crews
Crews NC1 NC2 NC3 NC4 VA1 VA2 VA3 Available GA1 GA2 15.2 12.8 12.4 18.2 19.3 14.3 11.3 10.8 19.4 20.2 13.9 10.6 9.4 18.2 19.5 13.5 12 11.3 17.9 20.2 14.7 12.7 13.1 20.5 21.2 10 16.5 13.2 12.8 20.7 21.3 18.7 15.6 14.5 22.7 23.5 12 10 14 15 12 4 FL1 FL2 7 Crews needed9 Decision Variables Number of crews to be sent from each utility to each affected area 10 From To NC1 NC2 NC3 NC4 VA1 VA2 VA3 GA1 GA2 12 13 FL1 FL2
Obiective function Minimise the total cost 17 18 SUMPRODUCT(B11:H15,B2:H6) 19 20 SUM(B11:H11) 21 SUM(B12:H12) 22 SUM(B13:H13 23 SUM(B14:H14 24 SUM(B15:H15 25 SUM(B11:B15 26 -SUM(C11:C15) 27 SUM(D11:D15 28 SUM(E11:E15 29 SUM(F11:F15) 30 SUM(G11:G15 31 SUM(H11:H15) 32 Constraints =12 -13 -14 F15 -16 -B7
13 16 Objective function 17 18 19 Minimise the total cost 0 Constraints 13 10 1A 21 24 13 27 258 23 30 31 32 10 1
Solver Parameters Set Objective To: OMax By Changing Variable Cells: SAS18 ⓔMin Oyalue of: SBS11:SHS15 Subject to the Constraints: SAS20:SAS24 <= SCS20:SCS24 SAS25:SAS31 SCS25:SCS31 SBS11:SHS15integer SB511:SHS15 >= 0 Add Change Delete Reset All Load/Save Make Unconstrained Variables Non-Negative Select a Solving Method: Simplex LP Options Solving Method Select the GRG Nonlinear engine for Solver Problems that are smooth nonlinear. Select the LP Simplex engine for linear Solver Problems, and select the Evolutionary engine for Solver problems that are non-smooth. Help Solve Close
Decision Variables Number of crews to be sent from each utility to each affected area 10 From To NC1 NC2 NC3 NC4 VA1 10 VA2 VA3 GA1 GA2 SCI 0 6 6 6 0 0 0 0 Objective function Minimise the total cost 841 Constraints 10 14 15 14 15 6 29 10