Introduction to Operations ResearchCD-ROM contains: Student version of MPL Modeling System and its solver CPLEX -- MPL tutorial -- Examples from the text modeled in MPL -- Examples from the text modeled in LINGO/LINDO -- Tutorial software -- Excel add-ins: TreePlan, SensIt, RiskSim, and Premium Solver -- Excel spreadsheet formulations and templates. |
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Page 60
The cost per unit shipped through each shipping lane is shown next to the arrow . Also shown next to F1 → F2 and DC → W2 are the maximum amounts that can be shipped through these lanes . The other lanes have sufficient shipping ...
The cost per unit shipped through each shipping lane is shown next to the arrow . Also shown next to F1 → F2 and DC → W2 are the maximum amounts that can be shipped through these lanes . The other lanes have sufficient shipping ...
Page 947
Total cost per unit time 105,000 100,000 95,000 FIGURE 19.3 Total cost per unit time for the speaker example with quantity discounts . 90,000 85,000 82,500 10,000 25,000 80,000 T1 ( unit cost equals $ 11 ) - T2 ( unit cost equals $ 10 ) ...
Total cost per unit time 105,000 100,000 95,000 FIGURE 19.3 Total cost per unit time for the speaker example with quantity discounts . 90,000 85,000 82,500 10,000 25,000 80,000 T1 ( unit cost equals $ 11 ) - T2 ( unit cost equals $ 10 ) ...
Page 992
Month Requirement Setup Cost Regular - Time Unit Cost 1 1 5 8 2 3 32 10 10 2 5 9 Discount Category 123 Order Quantity 1 to 199 Price ( per Bag ) 2 200 to 499 $ 1.00 $ 0.95 500 or more $ 0.90 Sarah wants to use the EOQ model with ...
Month Requirement Setup Cost Regular - Time Unit Cost 1 1 5 8 2 3 32 10 10 2 5 9 Discount Category 123 Order Quantity 1 to 199 Price ( per Bag ) 2 200 to 499 $ 1.00 $ 0.95 500 or more $ 0.90 Sarah wants to use the EOQ model with ...
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Introduction to Operations Research Frederick S. Hillier,Gerald J. Lieberman No preview available - 2001 |
Common terms and phrases
activity additional algorithm allowable amount apply assigned basic solution basic variable BF solution bound boundary called changes coefficients column complete Consider Construct corresponding cost CPF solution decision variables described determine developed dual problem entering equations estimates example feasible feasible region feasible solutions FIGURE final flow formulation functional constraints given gives goal identify illustrate increase indicates initial iteration linear programming linear programming model Maximize million Minimize month needed node objective function obtained operations optimal optimal solution original parameters path perform plant possible presented primal problem Prob procedure profit programming problem provides range resource respective resulting revised sensitivity analysis shown shows side simplex method simplex tableau slack solve step Table tableau tion unit values weeks Wyndor Glass x₁ zero