65831.doc

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رب رح ش ى ل صدرى ر س ي و ى ل رى م ا ل ل ح وا دة ق ع ن م ى ن سا ل وا ه ق ف ي ى ل و ق اب ي ل م ع وب ح بOperations Researches ة3 وظ ح مل ب ج ب: ام م ت هلا ا اء ج ه ب جاب صطل م وب ح ب. اب ي ل م ع ل ا م ه ف ى علO ك ساعدت م ل و اب ي مل ع ل ا وب ح ب ن م دةT ائ ى ف ص قT ى ا عل ول حص ل ى ا ف ط ق ف ة ب غ ر اب ي لك ا ن م دمة ق م ل ة ا هد ز ي ز لع ى ا ل ي م ر( ) ى للاو ا رة ض جا م ل ا ة داي م ئ س ا ئ وان ن غ د ي غ ى ه تy ن{ ت ى ه ها و علت ر كي ر لي ا ن م ى ع دا لا ف حة ض ر وا ي غ ت ن كا ا د ا ماT زر ا مق ل ا دمة ق م ة ب ج ب ار ئ وكان دارة لا ا اب ي مل ع ى عل ى م ل ع ل ع ا بلطاء ا ا ق ض لا ما خ ض هدا ج) ن ي ر س ع ل ا( ى ض ما ل ا زن لق ا اب دائ ئ هدب ش ل م ع ل ا ة ج مد ن ى ف ل ض ق ل ا رب لي ح ان ي ل ي ل وO ك رات ف ور ، ل¢ ئ ا ئ ن م لا ك ماب ها ش لاWork Standards ، دراسة زكة ح ل اMotion Study ، Job Design . ة ب م و ن لل ا ما عT لا ا دولة ى ح ف ر كي ا ماب ها ش ا ب ي ن ا ج ل وكان ن م وغة م خ م ع ي م خ ب م ت ب ي ح ة ب ن ا ي ل ا ة ب م ل عا ل ا زب ح لء ا ا ي« نT ا دارة لا ا لاب ك ش م ل ج ل ة ب م ل ع زق ط ة اف ص ا² ام ئ م ت هلا اد ا ما ر ك ة دام هد ج ت س م ا ت ع ي لط ا را وئ لي ج ب وا كا ري مT ى ا ف ش ي ج ل ا لاب ك ش م لدراسة ضاب ص ح ت ل وا لاب ا ج م ل ا ف ل ت ج م ى ف ماء ل ع ل ااد عدT ا ادب ر ب ي ح زب ح ل عد ا ي تطل ل وا زض لع ى ا م ا ي{ ن ل3 ظ ى ف اصة ح ارة ج{ ت ل وا اغة ي ص ل ى ا ف دة دئ ج ل ا ة ب م ل ع ل ا زق لط ا ل ج ل ول ض و ل ا زق ط احد انO لك د ن غ ج{ ت ن ها. حل ى ف دة دئ ج ل ا زق لط ا درون ق ي و دارة لا ا لاب ك ش م ن ن مي ت ه م ل ا ن يز ي مد ل ا وب ح ب م عل يام م ت هلا اد ا ر ن˝ لا وا ح ماد ت ل ا ن م وغة م خ م ق ي ز ط ن غ ة ب ض ا رئ ل ا زق لط دام ا ج ت س ا ئ ت ن كا ما لة ك ش م وب ح ب م عل ش ي در ي ن وم ف ي ى لت ا اب ي كل ل وا عاب م ا ج لد ا عدO لك ى د عل ل ي ل م والد ل عا لء ا جا بT ع ا ي م ج ى ف اب ي مل ع ل ازار. لق ا اد ج ب م ا عل وT ى ا م ك ل ل ا ي جل{ ت ل و اT ا دارة لا م ا عل ل ي م ة ف ل ت ج م اب ي م س م ن كان وان اب ي مل ع ل ا ى كان لت ل ا ك ا س مل ل ول ل ح اد ج ب ى ا عل ادرة وف دة عد ي م ب ج ت ضT وا اب ي مل ع ل ا وب ح ب دام ج ت س ا ل ئ ج ل ا زق ط ورب ط ت ما ك ور ح م ى عل ما ه ت¢ ن² ت ة لاف ع ل ل ا ي من ن ق ي ز ط ن غ ن ي ر ي غ ي م ن م لة ك ش م ل ج ب ى لت وا ة ب م و س ر ل ا ة ف زي لط اO اك ي ه ف ها حل ب ع ص تد عد اد ا ر د ا ماT ا ة ب غزا لق ا دسة ي ه لد وا عا يT لا ا ة ب ن لا ئ وم س ر ل دام ا ج ت س ا ئ راب ي غ ي م ة لاي ئ وT ا داب ضا ل وا اب ي سن ل ا دى ي غ كان ا د ا ف) طة ي س لب ا ة ف زي لط ا( ة ب² ن سا ج ل ا اب ي مل ع ل داول وا ج ل ا ق ي ز ط ن غ ها حل ن مك ت فO لك د ن غ راب ي غ ي م ل ا5 ن م ون ك م دول دى ح ي غ كان راب ي غ ي م5 و وف ف ض5 ى ل ل ا ض ي لد عد ل اد ا ا ر د ا ن لك و) ة وف ف مص( مدة عT ا100 ر ي غ ي مhttp://www.Fornawara.jeeran.com اب ي مل ع1 وب ح ب[email protected]

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Operations Researches : .( ) ( ) Work Standards Motion Study Job Design . . . ( ) 5 5 5 ( ) 100 1000 . :

Problems ( ) Decision Maker ( ) Best ( Optimal ) Solution ( ) ( Decision Variables ) ( ) Constraints Cost Minimization Profits maximization Objectives Functions Parameters usages Resources Model : 1- 2 3 4 Operations Researches System Analyst (ORSA ) . :

:1- :

2- :

1- Decision Variables2- Constraints3- Objectives Functions4- Parameters 1 24 3 ( ) 1 2 3

524240

463400

352

1- Decision Variables

X1;x2;x3 Where x1 quantity of product 1 ; x2 quantity of product 2; x2 quantity of product 32- Constraints

5ax1+2ax2+4ax3 240 where a = labor4bx1+6bx2+3bx3 400 where b = materials3- Objectives Functions

Max z=3x1+5x2+2x3 Subject to:

5ax1+2ax2+4ax3 240

4bx1+6bx2+3bx3 400x1;x2;x3 0 Non negativity condition

4- Parameters

3;5;2 profit of x1;x2;x35;2;4 labor of x1;x2;x3

4;6;3 materials of x1;x2;x3

240;400 resources of labor ; materials ( ) 1-

2- 3- 4- 5- 6- 1- ( )2- 1- a. b. i. ii. c. ( ) 2- a. ( ) ( ) ( ) Qb. Zc. 3- ( ) FC VC P TR TC 4- ( ) :1- z=f(Q) ( ) Z=TR-TC 2- TR=Q.P ;TC=FC+VC.Q 3- Z=Q.P-FC-VC.Q5- a. ( ) :i. = P.Q-FC-VC.Q=0 ii. P.Q -VC.Q=FCiii. Q(P-VC)=FC iv. Q=FC/ (P-VC) b. c. :1- ( )-

/ 12 3

1402530120

275506080

315455080

1507060

( X ) ( 1-2-3 ) ( 1 2 3 ) 1- Decision Variables

X11;x12;x13; X21;x22;x23; X31;x32;x33 Where x11 quantity of asphalt from plant1 to road 1 ; x12 quantity of asphalt from plant1 to road 2 ; x13 quantity of asphalt from plant1 to road 3 ; x21 quantity of asphalt from plant2 to road 1 ; x22 quantity of asphalt from plant2 to road 2 ; x23 quantity of asphalt from plant2 to road 3; x31 quantity of asphalt from plant3 to road 1 ; x32 quantity of asphalt from plant3 to road 2 ; x33 quantity of asphalt from plant3 to road 32- Constraints

Supply constraints

x11+x21+x31=150 ( 150 ) x12+x22+x32=70 ( 70 ) x13+x23+x33=60 ( 60 ) Demand constraintsx11+x12+x13=120 ( 120 ) x21+x22+x23=80 ( 80 ) x31+x32+x33=80( 80 ) 3- Objectives Functions

Min z=40 x11+75x12+15x13+25 x21+50x22+45x23+ 30x31+60x32+50x33Subject to:

x11+x21+x31=150 x12+x22+x32=70 x13+x23+x33=60 x11+x12+x13 120 x21+x22+x23 80 x31+x32+x33 80x11+x12+x13 +x21+x22+x23+x31+x32+x33 =280

0 xij where I =1;2;3 & j= 1;2;34- Parameters

40;75;15 transportation cost of x11;x12;x13

25;50;45 transportation cost of x21;x22;x23

30;60;50 transportation cost of x31;x32;x33

150;70;60 needs to road1 ;2;3120;80;80 product in plant1;2;3 2- 3- 4- 5- 24 ( )6- ( 52 ) 4 : 3 1234 5000240040001500 97126 40% 20% 30% 40% 50% 10% ( )/ 1234

12

18

10

5000240040001500

97126

( X ) ( 1-2-3-4 ) (R;P;L )

( )1- Decision Variables

X1R; x1P; x1L; X2R; x2P; x2L; X3R; x3P; x3L; X4R; x4P; x4L Where

X1R quantity of material1 in regular gas; X1P quantity of material1 in premium gas; X1L quantity of material1 in low lead gasX2R quantity of material2 in regular gas; X2P quantity of material2 in premium gas; X2L quantity of material2 in low lead gas

X3R quantity of material3 in regular gas; X3P quantity of material3 in premium gas; X3L quantity of material3 in low lead gas

X4R quantity of material4 in regular gas; X4P quantity of material4 in premium gas; X4L quantity of material4 in low lead gas

:

/ 1234

X1RX2RX3RX4R12

X1PX2PX3PX4P18

X1LX2LX3LX4L10

5000240040001500

97126

2- Constraints

X1R+ x1P+ x1L5000

X2R+ x2P+ x2L2400

X3R+ x3P+ x3L4000

X4R+ x4P+ x4L1500

0 xij where I =1;2;3 & j= P;R;L3- Objectives Functions

MAX Z=[ = ]12(X1R+X2R+X3R+X4R)+ 18(X1P+X2P+X3P+X4P)+ 10 (X1L+X2L+X3L+X4L) [ = ] 9(X1R+X1P+X1L) -7(X2R+X2P+X2L) -12 (X3R+X3P+X3L) -6(X4R+X4P+X4L)Subject to:

X1R+ x1P+ x1L5000

X2R+ x2P+ x2L2400

X3R+ x3P+ x3L4000

X4R+ x4P+ x4L1500

0 xij where I =1;2;3 & j= P;R;L4- Parameters

5000;2400;4000;1500 quantities of material 1;2;3;4

9;7;12;6 COST of material 1;2;3;4

12;18;10 PRICE OF R;P;L

1- 58

Product/lineLine1Line2Profit

A1249

B487

total6040

1- Decision Variables

Xa;xb Where

xa quantity of product a ; xb quantity of product b2- Constraints

12xa+4xb 60

4xa+8xb 403- Objectives Functions

Max z=9xa+7xb

Subject to:

12xa+4xb 60

4xa+8xb 40xa;xb 0 Non negativity condition

4- Parameters

9;7 profit of xa;xb

12;4; hr used in line1 for products a;b

4;8; hr used in line2 for products a;b

60 ;40 total hr used inline1 and line2

2- 58

ProductvitaminMineralcostMinimum

A1485

B22105

total4060

1- Decision Variables

Xa;xb Where

xa quantity of product a ; xb quantity of product b2- Constraints

1xa+2xb 404xa+2xb 603- Objectives Functions

Min z=8xa+10xb

Subject to:

1xa+2xb 404xa+2xb 60xa;xb 5 minimum product condition

4- Parameters

8;10 cost of xa;xb

1;2; hr cost of vitamin for products a;b

4;2; hr cost of mineral for products a;b

40 ;60 total cost for vitamin and mineral

4- 58

ProductCost/unitLabor hr/unitPriceMaximumStore

Clock7215200

Radio10320300

Toaster5112150

2000600500

1- Decision Variables

Xc;xr;xt Where

xc clock quantity; xr radio quantity ; xt toaster quantity2- Constraints

7xc+10xr+5xt 20002xc+3xr+1xt 600

xc 200

xr 300

xt 150

xc+xr+xt5003- Objectives Functions

Max z=15xc+20xr+12xt (7xc+10xr+5xt )

Subject to:

7xc+10xr+5xt 20002xc+3xr+1xt 600

xc 200

xr 300

xt 150

xc+xr+xt5004- Parameters

15;20;12 price of xc;xr;xt

7;10;5 cost of xc;xr;xt

2;3;1;600 hours used by xc;xr;xt;xc+xr+xt

200;300;150;500 maximum product of xc;xr;xt;xc+xr+xt

2000 maximum cost of xc+xr+xt

: 3 ( ) :1- 2- : ( 0 ) ( 0 ) X ; y ( )3- ( ) ( 0 0 ) 4- 2 3 5- ( ) 6- ( ) Redundant ( ) ( ) ( ) : ( ) ( ) ( ) m = m = ( ) 187From / to123Supply

1

8

5

6

120

2

15

10

12

80

3

3

9

10

80

Demand1507060280

: From / to123Supply

1

8

1205

6

120/0

2

15

10

12

80

3

3

9

10

80

Demand1507060280

From / to123Supply

2

15

3010

12

80/50

3

3

9

10

80

Demand30/07060

From / to23Supply

2

10

5012

50/0

3

9

10

80

Demand70/2060

From / to23Supply

3

9

2010

80/60

Demand20/060

:

= 120 * 8 + 30*15 + 50*10 + 20*9 +60*10 = 2690

: From / to123Supply

1

8

5

6

120

2

15

10

12

80

3

3

809

10

80/0

Demand150/707060280

From / to123Supply

1

8

5

706

120/50

2

15

10

12

80

Demand7070/060

From / to13Supply

1

8

6

5050/0

2

15

12

80

Demand7060/10

From / to123Supply

2

15

12

1080/70

Demand7010/0

= 3*80 + 5*70 + 50*6 + 10*12 +15*70 = 2060 ( ) :

From / to123Supply

1

8

5

6

1201

2

15

10

12

802

3

3

809

10

80/06

Demand150/707060280

542

From / to123Supply

1

8

705

6

120/501

2

15

10

12

802

Demand70/07060

756

From / to23Supply

1

5

6

5050/01

2

10

12

802

Demand7060/10

56

From / to23Supply

2

10

12

1080/702

Demand7010/0

1012

= 80*3 + 70*8 + 50*6 + 10*12 + 70*10 = 1290 ( )

( )

z = {x1;x2;..xn}

Matrix

EMBED MSGraph.Chart.8 \s

Right Hand Side (RHS)

:

b1 ;b2;b3;bi

b1 1 b2 2

bi

EMBED Equation.3

=

Left Hand Side (LHS)

:

a11;a12;..a1j;a21;a22;.aij

a11

a12

a21

a22

aij

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