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. |
From inside the book
Results 1-3 of 70
Page 502
... cost by describing the CPM method of time - cost trade - offs . Mr. Perty now is ready to turn his focus to costs by addressing the last of his ques- tions posed at the end of Sec . 10.1 . Question 9 : How should ongoing costs be ...
... cost by describing the CPM method of time - cost trade - offs . Mr. Perty now is ready to turn his focus to costs by addressing the last of his ques- tions posed at the end of Sec . 10.1 . Question 9 : How should ongoing costs be ...
Page 992
... 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 quantity discounts to determine ...
... 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 quantity discounts to determine ...
Page 998
... cost of overordering . ( c ) Use the model with these costs to determine how many over- booked reservations to ... cost of $ 14 plus $ 2 per book over the normal ordering cost . If D is less than the stock on hand , the extra books are ...
... cost of overordering . ( c ) Use the model with these costs to determine how many over- booked reservations to ... cost of $ 14 plus $ 2 per book over the normal ordering cost . If D is less than the stock on hand , the extra books are ...
Other editions - View all
Introduction to Operations Research Frederick S. Hillier,Gerald J. Lieberman No preview available - 2001 |
Common terms and phrases
activity algebraic algorithm allowable range artificial variables b₂ basic solution c₁ c₂ changes coefficients column Consider the following cost Courseware CPLEX decision variables described dual problem dynamic programming entering basic variable estimates example feasible region feasible solutions final simplex tableau final tableau flow following problem formulation functional constraints Gaussian elimination given graphical identify increase initial BF solution integer iteration leaving basic variable linear programming model linear programming problem LINGO LP relaxation lution Maximize Z maximum flow problem Minimize needed node nonbasic variables nonnegativity constraints objective function obtained optimal solution optimality test parameters path plant presented in Sec primal problem Prob procedure range to stay resource right-hand sides sensitivity analysis shadow prices shown simplex method slack variables solve the model Solver spreadsheet step subproblem surplus variables Table tion unit profit values weeks Wyndor Glass x₁ zero