@@ -415,7 +415,55 @@ In the context of Linear Programming (LP) and the Simplex Method, Excel Solver c
415415 <br >
416416
417417
418- ## [ Solver Configuration (Simplex LP)] ( ) :
418+ ## Simplex Method using Excel Solver
419+
420+ This example shows how to solve a Linear Programming (LP) problem using the ** Simplex Method** via ** Excel Solver** .
421+
422+ ---
423+
424+ ### Problem
425+
426+ Maximize the objective function:
427+
428+ Z = 3x + 5y
429+
430+ Subject to the constraints:
431+
432+ x + 2y ≤ 100
433+ 2x + y ≤ 80
434+ x, y ≥ 0
435+
436+ ---
437+
438+ ### Excel Spreadsheet Setup
439+
440+ Fill the spreadsheet with the following structure:
441+
442+ #### Variables and Objective
443+
444+ | Cell | Description | Formula / Value |
445+ | ------| ------------------------| ----------------------|
446+ | B1 | x (Decision Variable) | * (leave blank)* |
447+ | B2 | y (Decision Variable) | * (leave blank)* |
448+ | B3 | Objective Function Z | ` =3*B1 + 5*B2 ` |
449+
450+ #### Constraints Left-Hand Side (LHS)
451+
452+ | Cell | Description | Formula |
453+ | ------| ----------------------------| ---------------------|
454+ | B5 | Constraint 1 LHS | ` =1*B1 + 2*B2 ` |
455+ | B6 | Constraint 2 LHS | ` =2*B1 + 1*B2 ` |
456+
457+ #### Constraints Right-Hand Side (RHS)
458+
459+ | Cell | Description | Value |
460+ | ------| ----------------------------| ---------------------|
461+ | C5 | Constraint 1 RHS | ` 100 ` |
462+ | C6 | Constraint 2 RHS | ` 80 ` |
463+
464+ ---
465+
466+ ### Solver Configuration (Simplex LP)
419467
4204681 . Go to ` Data ` > ` Solver ` .
4214692 . Set Objective Cell: ` B3 `
@@ -429,15 +477,30 @@ In the context of Linear Programming (LP) and the Simplex Method, Excel Solver c
4294776 . Choose ** Simplex LP** as the solving method.
4304787 . Click ** Solve** .
431479
432- <br >
480+ ---
481+
482+ ### Solution
483+
484+ After running Solver
485+
486+ x = 20
487+ y = 40
488+ Z = 320 + 540 = 260
433489
434- ## [ Example Excel Solver Example – Linear Programming with Simplex] ( )
490+
491+ Z = 260
492+
493+
494+ ——
495+
496+
497+ ## Excel Solver Example – Linear Programming with Simplex
435498
436499This example demonstrates how to use Excel Solver to solve a Linear Programming problem using the ** Simplex Method** .
437500
438- ### [ Problem Statement] ( ) :
501+ ### Problem Statement
439502
440- [ Maximize] ( ) :
503+ Maximize:
441504
442505Z = 40x + 30y
443506
@@ -448,9 +511,7 @@ x + 2y ≤ 50
448511x, y ≥ 0
449512
450513
451- <br >
452-
453- ### [ Excel Setup] ( ) :
514+ ### Excel Setup
454515
455516| Cell | Description | Formula / Value |
456517| ------| --------------------------| ---------------------|
@@ -460,17 +521,12 @@ x, y ≥ 0
460521| B5 | Constraint 1 (LHS) | ` =2*B1 + 1*B2 ` |
461522| B6 | Constraint 2 (LHS) | ` =1*B1 + 2*B2 ` |
462523
463-
464- <br >
465-
466524| Cell | Constraint RHS | Value |
467525| ------| --------------------------| ---------------------|
468526| C5 | Constraint 1 (RHS) | 40 |
469527| C6 | Constraint 2 (RHS) | 50 |
470528
471- <br >
472-
473- ### [ Solver Configuration] ( ) :
529+ ### Solver Configuration
474530
4755311 . Set Objective: ** B3**
4765322 . To: ** Maximize**
@@ -484,53 +540,13 @@ x, y ≥ 0
484540
485541Click ** Solve** to find the optimal solution.
486542
487- <br >
488-
489- ### [ Solution Output] ( ) :
543+ ### Solution Output
490544
491545After running Solver:
492546
493547- ** x = 10**
494548- ** y = 20**
495549- ** Z = 40×10 + 30×20 = 1000**
496-
497- <br >
498-
499- ### Solver Configuration (Simplex LP)
500-
501- 1 . Go to ` Data ` > ` Solver ` .
502- 2 . Set Objective Cell: ` B3 `
503- 3 . Select: ** Max**
504- 4 . By Changing Variable Cells: ` B1:B2 `
505- 5 . Add Constraints:
506- - ` B5 <= C5 `
507- - ` B6 <= C6 `
508- - ` B1 >= 0 `
509- - ` B2 >= 0 `
510- 6 . Choose ** Simplex LP** as the solving method.
511- 7 . Click ** Solve** .
512-
513-
514- ### [ Solution] ( )
515-
516- After running Solver
517-
518- x = 20
519- y = 40
520- Z = 320 + 540 = 260
521-
522-
523- Z = 260
524-
525-
526-
527-
528-
529-
530-
531-
532-
533-
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