We can solve given correctly formualte LP model using Excel
Solver
Set up model as follows
![с D E F G н 1 x1 B 19 20 Variables 21 Values 22 co-efficient of objective function 23 Objective function value 24 25 Constrai](//img.homeworklib.com/questions/1d835b30-0015-11eb-826b-edd5da8e9bb6.png?x-oss-process=image/resize,w_560)
Excel formulas shown below
![Function Library Defined Names Formula Auditing H29 fir D E F G H 1 x2 x3 0 0 <--Variable value appears here 60 80 <------Obj](//img.homeworklib.com/questions/1dddade0-0015-11eb-8121-4b4e6f664124.png?x-oss-process=image/resize,w_560)
Now solve using solver function
from the Data tab in the menu bar:
1. Set objective as shown in the
figure below to MAX
2. Add constraints as shown in the
figure below from clicking the Add button on right side of solver
window
3. Set the solving method to
Simplex LP
4. Click Solve
![File Home Insert Page Layout Formulas Data Review View Developer Connections 2 1 2 3 + Show Detail 19 Data Anal - Hide Detail](//img.homeworklib.com/questions/1e422f40-0015-11eb-a79d-f33f9f567fad.png?x-oss-process=image/resize,w_560)
Excel solution as below
![Format Painter 1 Clipboard Font Alignment F33 for с D E F G H - x1 B 19 20 Variables 21 Values 22 co-efficient of ot 23 Objec](//img.homeworklib.com/questions/1ebff8e0-0015-11eb-ba2a-ddcfa431d3d3.png?x-oss-process=image/resize,w_560)
Therefore,
The maximum profit is $ 13750. To get that
profit, 175 Bronze package, 0
Silver packages and 150 Gold packages should be
made up.
с D E F G н 1 x1 B 19 20 Variables 21 Values 22 co-efficient of objective function 23 Objective function value 24 25 Constraints 26 Regular 27 Barbeque 28 Salt and vinegar 29 x2 x3 0 0 0 <-----Variable value appears here 10 60 80 0 <-----Objective function value appears here x1 x2 x3 Limit 20 10 20 10 10 Resources Used 30 10 0 <a 0 <= 0 <= 8000 4900 1500 0 10 30
Function Library Defined Names Formula Auditing H29 fir D E F G H 1 x2 x3 0 0 <--Variable value appears here 60 80 <------Objective function val B с 19 20 Variables x1 21 Values 0 22 co-efficient of objective function 10 23 Objective function value =SUMPRODUCT(C21:E21,C22:E22) 24 25 Constraints x1 26 Regular 20 27 Barbeque 10 28 Salt and vinegar 0 29 30 x2 x3 <= 20 10 30 10 10 Resources Used =SUMPRODUCT($C$21:$E$21,C26:E26) =SUMPRODUCT($C$21:$E$21,C27:E27) =SUMPRODUCT($C$21:$E$21,C28:E28) Limit 8000 4900 1500 10 <=
File Home Insert Page Layout Formulas Data Review View Developer Connections 2 1 2 3 + Show Detail 19 Data Anal - Hide Detail ? Solver ZA TE Properties ΤΑ From Access From Web Sort Refresh From From Other Text Sources Get External Data Existing Connections Clear Reapply Filter Y Advanced Sort & Filter Tel Solver Parameters Coll All- Go Edit Links Connections lysis C23 Set Objective: $C$23 ER B с D E F G H 1 K T To: O Max O Min O Value of: 0 x1 By Changing Variable Cells: x2 x3 0 0 0 <-----Variable value appears here 10 60 80 O<-----Objective function value appears here SC$21: SE $21 ES x1 x2 x3 20 Subject to the Constraints: $C$21:$E$21 >=0 $F$26:$F$28 <= $H$26:$H$28 Resources Used 30 10 20 10 Add Limit 8000 4900 1500 0 <= 0 <= 10 10 0 10 0 <= Change Delete Reset AN 19 20 Variables 21 Values 22 co-efficient of ob 23 Objective functio 24 25 Constraints 26 Regular 27 Barbeque 28 Salt and vinegar 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 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 Activate Windows
Format Painter 1 Clipboard Font Alignment F33 for с D E F G H - x1 B 19 20 Variables 21 Values 22 co-efficient of ot 23 Objective functio 24 25 Constraints 26 Regular 27 Barbeque 28 Salt and vinegar 29 x2 x3 175 0 150 <----Variable value appears here 10 60 80 13750 <--Objective function value appears here X1 x2 x3 20 20 10 0 Resources Used Limit 30 8000 <= 8000 10 3250 <= 4900 10 1500 <= 1500 10 10