Supplier Sinofert Pingyuan sinofort changshan shanxi FengxiHeilongjiang 119 70 129jilin 101 40 110liaoning 81 60 91hebei 45 100 45henan 83 130 39shandong 58 110 50jiangsu 67 150 56anhui 69 140 53hubei 96 150 56hunana 122 160 86jiagxi 114 160 88Fujian 129 170 102guangdong 164 170 126guangxi 156 160 109

shandong Lianmeng shandong Ruixing shandong Lunan Henan Xinliaxin136 145 119 119119 128 102 102

98 107 82 8264 73 47 4785 77 49 4953 61 36 3672 65 31 3173 65 31 3198 90 60 60

122 114 81 81115 107 72 72129 124 86 86164 161 126 126157 168 133 133

Henan Pingdingshan Jiagsu Linggu hebie Zhengyuan hebie Jinghua anhui Haoyuan185 164 120 108 151167 147 101 90 133148 126 82 69 112105 92 40 32 69

84 81 70 69 46119 77 62 46 58117 44 74 57 46114 43 75 58 36109 77 86 82 61141 85 114 107 80153 66 114 100 71171 66 128 114 85162 117 158 149 125152 127 148 142 132

Neimeng Erduosi155137118

755989848185

110110124151144

Microsoft Excel 15.0 Answer ReportWorksheet: [OR_exhibit_4.xlsx]Sheet2Report Created: 28-02-2015 18:56:59Result: Solver found a solution. All Constraints and optimality conditions are satisfied.Solver Engine

Engine: Simplex LPSolution Time: 0.063 Seconds.Iterations: 0 Subproblems: 0

Solver OptionsMax Time Unlimited, Iterations Unlimited, Precision 0.000001Max Subproblems Unlimited, Max Integer Sols Unlimited, Integer Tolerance 1%, Assume NonNegative

Objective Cell (Min)Cell Name Original Value Final Value

$C$22 objective function: new orleans 0 0

Variable CellsCell Name Original Value Final Value Integer

$K$10 san franscisco new orleans 0 0 Contin$L$10 san franscisco chaarastan 0 0 Contin$M$10 san franscisco seattle 0 0 Contin$N$10 san franscisco LA 0 0 Contin$K$11 kansas city new orleans 0 0 Contin$L$11 kansas city chaarastan 0 0 Contin$M$11 kansas city seattle 0 0 Contin$N$11 kansas city LA 0 0 Contin$K$12 atlanta new orleans 0 0 Contin$L$12 atlanta chaarastan 0 0 Contin$M$12 atlanta seattle 0 0 Contin$N$12 atlanta LA 0 0 Contin$K$13 pittsburg new orleans 0 0 Contin$L$13 pittsburg chaarastan 0 0 Contin$M$13 pittsburg seattle 0 0 Contin$N$13 pittsburg LA 0 0 Contin$K$17 texas new orleans 0 0 Contin$L$17 texas chaarastan 0 0 Contin$M$17 texas seattle 0 0 Contin$N$17 texas LA 0 0 Contin$K$18 california new orleans 0 0 Contin$L$18 california chaarastan 0 0 Contin$M$18 california seattle 0 0 Contin$N$18 california LA 0 0 Contin$K$19 alasaka new orleans 0 0 Contin$L$19 alasaka chaarastan 0 0 Contin$M$19 alasaka seattle 0 0 Contin$N$19 alasaka LA 0 0 Contin

$K$20 middle east new orleans 0 0 Contin$L$20 middle east chaarastan 0 0 Contin$M$20 middle east seattle 0 0 Contin$N$20 middle east LA 0 0 Contin

ConstraintsCell Name Cell Value Formula Status Slack

$B$25 Constraints objective function: 0 $B$25<=$D$25 Not Binding 80$B$26 objective function: 0 $B$26<=$D$26 Not Binding 60$B$27 objective function: 0 $B$27<=$D$27 Not Binding 100$B$28 objective function: 0 $B$28<=$D$28 Not Binding 120$F$25 <= LA 0 $F$25<=$H$25 Not Binding 100$F$26 <= LA 0 $F$26<=$H$26 Not Binding 80$F$27 <= LA 0 $F$27<=$H$27 Not Binding 80$F$28 <= LA 0 $F$28<=$H$28 Not Binding 100$J$25 <= middle east 0 $J$25<=$L$25 Binding 0$J$26 <= middle east 0 $J$26<=$L$26 Binding 0$J$27 <= middle east 0 $J$27<=$L$27 Binding 0$J$28 <= middle east 0 $J$28<=$L$28 Binding 0

Max Subproblems Unlimited, Max Integer Sols Unlimited, Integer Tolerance 1%, Assume NonNegative

Oil Field capacities Refinary capacity varTexas 80 new orleans 100california 60 charleston 60alaska 100 seattle 10middle east 120 LA 120

new prleans chaarastan seattle LAsan franscisco 8 7 3 2kansas city 6 4 4 3atlanta 5.5 5 8 6pittsburg 6.5 7 7 8

new orleans chaarastan seattle LAtexas 2 4 5 3california 5 5 3 1alasaka 5 7 3 4middle east 2 3 3 4

objective function: 3170

Constraints 80 >= 80 10060 >= 60 80

100 >= 100 80120 >= 120 200

DC Capacity DC_Varpittburg 100georgia 80kansas city 80san francio 100

new orleans chaarastan seattlesan franscisco 0 0 100kansas city 80 0 0atlanta 80 0 0pittsburg 100 0 0

new orleans chaarastan seattletexas 0 0 0california 0 0 40alasaka 0 40 60middle east 100 20 0

>= 100 100 = 260>= 80 0 = 60>= 80 100 = 100>= 100 100 = 100

LA100

000

LA8020

00

100 >= 10060 >= 60

100 >= 100100 >= 120

p1 60p2 80p3 60

objective functions 5540

constraints 450 = 450350 = 350

50 = 50

Alternative 1.5 in 2.5in 3.5 in waste1 6 0 0 1 02 0 4 0 0 03 2 0 2 0 20004 0 1 2 0.5 05 1 3 0 1 666.66676 1 2 1 0 07 4 0 1 0.5 0

Objective function 2666.66666666667

constraints

4666.66666666667 >= 10002000 >= 20004000 >= 4000

n

number of rolls

0 >= 00 >= 00 >= 00 >= 00 >= 00 >= 00 >= 0

dobbie regular third party fabric 12345

objective functions 0

constraints

0 = 16500 0 <=0 = 22000 0 <=0 = 62000 0 <=0 = 75000 0 <=0 = 62000 0 <=

selling price variable cost purchase price demand0.99 0.66 0.8 165000.86 0.55 0.7 22000

1.1 0.49 0.6 620001.24 0.51 0.7 75000

0.7 0.5 0.7 62000

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