原油的采购与加工程序与报告_精品文档.doc

原油的采购与加工程序与报告_精品文档.doc

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方法一

（一）求R1

max4.8x11+4.8x21+5.6x12+5.6x22-10x

st

x11+x12-x<500

x21+x22<1000

0.5x11-0.5x21>0

0.4x12-0.6x22>0

x<500

end

LPOPTIMUMFOUNDATSTEP4

OBJECTIVEFUNCTIONVALUE

1）4800.000

VARIABLEVALUEREDUCEDCOST

X11500.0000000.000000

X21500.0000000.000000

X120.0000000.266667

X220.0000000.000000

X0.0000000.400000

ROWSLACKORSURPLUSDUALPRICES

2）0.0000009.600000

3）500.0000000.000000

4）0.000000-9.600000

5）0.000000-9.333333

6）500.0000000.000000

NO.ITERATIONS=4

（二）求R2

max4.8x11+4.8x21+5.6x12+5.6x22-8x

st

x11+x12-x<500

x21+x22<1000

0.5x11-0.5x21>0

0.4x12-0.6x22>0

x>500

x<1000

4.8x11+4.8x21+5.6x12+5.6x22-8x-r2=1000

end

LPOPTIMUMFOUNDATSTEP7

OBJECTIVEFUNCTIONVALUE

1）6000.000

VARIABLEVALUEREDUCEDCOST

X110.0000000.000000

X210.0000000.400000

X121500.0000000.000000

X221000.0000000.000000

X1000.0000000.000000

R25000.0000000.000000

ROWSLACKORSURPLUSDUALPRICES

2）0.0000008.000000

3）0.0000002.000000

4）0.000000-6.400000

5）0.000000-6.000000

6）500.0000000.000000

7）0.0000000.000000

8）0.0000000.000000

NO.ITERATIONS=7

（三）求R3

max4.8x11+4.8x21+5.6x12+5.6x22-6x

st

x11+x12-x<500

x21+x22<1000

0.5x11-0.5x21>0

0.4x12-0.6x22>0

x>1000

x<1500

4.8x11+4.8x21+5.6x12+5.6x22-6x-r3=3000

End

LPOPTIMUMFOUNDATSTEP0

OBJECTIVEFUNCTIONVALUE

1）8000.000

VARIABLEVALUEREDUCEDCOST

X110.0000000.000000

X210.0000001.400000

X121500.0000000.000000

X221000.0000000.000000

X1000.0000000.000000

R35000.0000000.000000

ROWSLACKORSURPLUSDUALPRICES

2）0.0000006.000000

3）0.0000005.000000

4）0.000000-2.400000

5）0.000000-1.000000

6）0.0000000.000000

7）500.0000000.000000

8）0.0000000.000000

NO.ITERATIONS=0

方法二

model:

max=4.8*x11+4.8*x21+5.6*x12+5.6*x22-10*x1-8*x2-6*x3;

x1<500;

x2<500;

x3<500;

x11+x12

x21+x22<1000;

0.5*x11-0.5*x21>0;

0.4*x12-0.6*x22>0;

x1+x2+x3-x=0;

（x1-500）*x2=0;

（x2-500）*x3=0;

End

Localoptimalsolutionfoundatiteration:

9

Objectivevalue:

4800.000

VariableValueReducedCost

X11500.00000.000000

X21500.00000.000000

X120.0000000.000000

X220.0000000.4000000

X10.0000000.4000000

X20.0000000.000000

X30.0000000.000000

X0.0000000.000000

RowSlackorSurplusDualPrice

14800.0001.000000

2500.00000.000000

3500.00000.000000

4500.00000.000000

50.0000009.600000

6500.00000.000000

70.000000-9.600000

80.000000-10.00000

90.000000-9.600000

100.000000-0.3200000E-02

110.000000-0.7200000E-02

我们加上x>10后

model:

max=4.8*x11+4.8*x21+5.6*x12+5.6*x22-10*x1-8*x2-6*x3;

x1<500;

x2<500;

x3<500;

x11+x12

x21+x22<1000;

0.5*x11-0.5*x21>0;

0.4*x12-0.6*x22>0;

x1+x2+x3-x=0;

（x1-500）*x2=0;

（x2-500）*x3=0;

x>10;

end

Localoptimalsolutionfoundatiteration:

21

Objectivevalue:

5000.000