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Problems in The Simplex Method. Minggu 3 Part 3. Solusi yang tidak fisibel (infeasible solution) Masalah yang tidak terbatas ( The unbounded linear programming ) Solusi optimal majemuk ( The alternate optimal solution ) Pivot row yang seri (degeneracy). - PowerPoint PPT Presentation
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Problems in The Simplex Method
Minggu 3Part 3
Solusi yang tidak fisibel (infeasible solution)
Masalah yang tidak terbatas (The unbounded linear programming)
Solusi optimal majemuk (The alternate optimal solution)
Pivot row yang seri (degeneracy)
The infeasible linear programming problem No solution that satisfies the constraints
and non-negativity conditions for the problem.
Maximize Z = 2x1 + 4x2
subject to2.5x1 + 3x2 300 5x1 + 2x2 400 2x2 150 x1 60
x2 60 with x1 , x2 0
Initial Simplex Tableau for Infeasibility Problemcj 2 4 0 0 0 0 -M 0 -M
cb BASIS x1 x2 S1 S2 S3 S4 A1 S5 A2 Solution
000
-M-M
S1
S2
S3
A1
A2
2.55010
32201
10000
01000
00100
000-10
00010
0000-1
00001
3004001506060
Zj -M -M 0 0 0 M -M M -M -120M
cj - Zj 2+M 4+M 0 0 0 -M 0 -M 0
Second Simplex Tableau for Infeasibility Problemcj 2 4 0 0 0 0 -M 0 -M
cb BASIS x1 x2 S1 S2 S3 S4 A1 S5 A2 Solution
000
-M4
S1
S2
S3
A1
x2
2.55010
00001
10000
01000
00100
000-10
00010
3220-1
-3-2-201
120280306060
Zj -M -M 0 0 0 M -M -4 4 240-6M
cj - Zj 2+M M 0 0 0 -M 0 4 -M-4
Third Simplex Tableau for Infeasibility Problemcj 2 4 0 0 0 0 -M 0 -M
cb BASIS x1 x2 S1 S2 S3 S4 A1 S5 A2Solutio
n
200
-M4
x1
S2
S3
A1
x2
10000
00001
0.4-20
-0.40
01000
00100
000-10
00010
1.2-42
-1.2-1
-1.24-21.21
4840301260
Zj 2 4(0.8 +
0.4M)
0 0 M -M (-1.6 + 1.2M)
(1.6 - 1.2M
336 -12M
cj - Zj 0 0(-0.8 -
0.4M)
0 0 -M 0 (1.6 - 1.2M
(-1.6 + 0.2M)
Final Simplex Tableau for Infeasibility Problemcj 2 4 0 0 0 0 -M 0 -M
cb BASIS x1 x2 S1 S2 S3 S4 A1 S5 A2 Solution
2-M0
-M4
x1
A2
S3
A1
x2
10000
00001
-0.2-0.5
10.20.5
0.30.250.5-0.3
-0.25
00100
000-10
00010
1.2-42
-1.2-1
-1.24-21.21
120280306060
Zj 2 4(1.6 +
0.3M)
(-0.4 + 0.05M) 0 M -M M -M 320 –
10M
cj - Zj 0 0(-1.6 -
0.3M)
(0.4 - 0.05M) 0 -M 0 -M 0
Infeasible LP Ketidaklayakan solusi Kesalahan memformulasi program
linear
The unbounded linear programming If the objective function can be
made infinitely large without violating any of the constraints.
Maximize Z = 2x1 + 3x2
subject to x1 - x2 2
-3x1 + x2 4
with x1 , x2 0
Initial Simplex Tableau for Unbounded Illustrationcj 2 3 0 0
cb BASIS x1 x2 S1 S2 Solution
00
S1
S2
1-3
-11
10
01
24
Zj 0 0 0 0 0
cj - Zj 2 3 0 0
Second Simplex Tableau for Unbounded Illustration
cj 3 4 0 0
cb BASIS x1 x2 S1 S2 Solution
03
S1
x2
-2-3
01
10
01
64
Zj -9 0 0 0 12
cj - Zj 11 0 0 -3
Suatu masalah yang tidak terbatas diidentifikasikan dalam simplex pada saat pemilihan pivot row tidak mungkin dilakukan saat nilai pivot row negatif atau tak terhingga
The alternate optimal solution If two or more solutions
yield the optimal objective value.
Maximize Z = 10/3x1 + 4x2
subject to 2.5x1 + 3x2 300
5x1 + 2x2 400
2x2 150
with x1 , x2 0
Initial Simplex Tableau for Alternate Optimal Solution cj 10/3 4 0 0 0
cb BASIS x1 x2 S1 S2 S3Solutio
n
000
S1
S2
S3
2.550
322
100
010
001
300400150
Zj 0 0 0 0 0 0cj - Zj 10/3 4 0 0 0
Second Simplex Tableau for Alternate Optimal Solution cj 10/3 4 0 0 0
cb BASIS x1 x2 S1 S2 S3Solutio
n
004
S1
S2
x2
2.550
001
100
010
-1.5-10.5
7525075
Zj 0 4 0 0 2 0cj - Zj 10/3 0 0 0 -2
Fourth Simplex Tableau for Alternate Optimal Solution cj 10/3 4 0 0 0
cb BASIS x1 x2 S1 S2 S3Solutio
n
10/304
x1
S3
x2
100
001
-0.2-10.5
0.30.5
-0.25
010
605050
Zj 10/3 4 4/3 0 0 400cj - Zj 0 0 -4/3 0 0
Third Simplex Tableau for Alternate Optimal Solution cj 10/3 4 0 0 0
cb BASIS x1 x2 S1 S2 S3Solutio
n
10/304
x1
S2
x2
100
001
0.4-20
010
-0.62
0.5
3010075
Zj 10/3 4 4/3 0 0 400cj - Zj 0 0 -4/3 0 0
Jika melakukan iterasi lanjut pada tabel simplex yang sudah memenuhi syarat optimal
Diindikasikan oleh nilai 0 pada baris cj-zj untuk variabel bukan dasar
Memberi keleluasaan pada perusahaan untuk memilih kombinasi produk
The concept of degeneracy in linear programming If one or more of the basic variables has
a value of zero. Occurs whenever two rows satisfy the criterion of selection as pivot row.
Maximize Z = 4x1 + 3x2
subject to x1 - x2 2
2x1 + x3 4 x1 + x2 + x3 3
with x1 , x2 , x3 0
Initial Simplex Tableau for Degeneracy Illustration cj 4 0 3 0 0 0
cb BASIS x1 x2 x3 S1 S2 S3 Solution Ratio
000
S1
S2
S3
121
-101
011
100
010
001
243
2/1 = 24/2 = 23/1 = 3
Zj 0 0 0 0 0 0 0cj - Zj 4 0 3 0 0 0
Second Simplex Tableau for Degeneracy Illustration cj 4 0 3 0 0 0
cb BASIS x1 x2 x3 S1 S2 S3 Solution Ratio
400
x1
S2
S3
100
-122
011
1-2-1
010
001
201
-0/21/2
Zj 4 -4 0 4 0 0 8cj - Zj 0 4 3 -4 0 0
Third Simplex Tableau for Degeneracy Illustration cj 4 0 3 0 0 0
cb BASIS x1 x2 x3 S1 S2 S3 Solution Ratio
400
x1
x2
S3
100
010
0.50.50
0-11
0.50.5-1
001
201
2/0.50/0.5
-
Zj 4 0 2 0 2 0 8cj - Zj 0 0 1 0 -2 0
Fourth Simplex Tableau for Degeneracy Illustration cj 4 0 3 0 0 0
cb BASIS x1 x2 x3 S1 S2 S3 Solution Ratio
430
x1
x3
S3
100
-120
010
1-21
01-1
001
201
2/1-
1/1
Zj 4 2 3 -2 3 0 8cj - Zj 0 -2 0 2 -3 0
Fifth Simplex Tableau for Degeneracy Illustration cj 4 0 3 0 0 0
cb BASIS x1 x2 x3 S1 S2 S3Solution
Ratio
430
x1
x3
S1
100
-120
010
001
11-1
-121
121
Zj 4 2 3 0 1 2 10cj - Zj 0 -2 0 0 -1 -2
Degenerasi muncul ketika terdapat pivot row yang seri
Pilih salah satu pivot row secara acak dan lakukan iterasi lanjut secara normal