Introduction to Operations Research, Volume 1CD-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 72
Page 989
... cost of $ 15 per hour plus overhead costs of another $ 5 per hour . A rough estimate has been made that the an- nual cost of capital tied up in Computronics ' inventory is 15 per- cent of the value ( measured by purchase cost ) of the ...
... cost of $ 15 per hour plus overhead costs of another $ 5 per hour . A rough estimate has been made that the an- nual cost of capital tied up in Computronics ' inventory is 15 per- cent of the value ( measured by purchase cost ) of the ...
Page 992
... Cost Regular - Time Unit Cost 1 2 3 32 5 10 8 10 5 9 Discount Category Order Quantity 1 to 199 200 to 499 1 2 3 500 or more • 23 Price ( per Bag ) $ 1.00 $ 0.95 $ 0.90 Sarah wants to use the EOQ model with quantity discounts to ...
... Cost Regular - Time Unit Cost 1 2 3 32 5 10 8 10 5 9 Discount Category Order Quantity 1 to 199 200 to 499 1 2 3 500 or more • 23 Price ( per Bag ) $ 1.00 $ 0.95 $ 0.90 Sarah wants to use the EOQ model with quantity discounts to ...
Page 998
... cost where the demand has the prob- ability density function . 4p ( ) = 20 and the costs are Holding cost = Shortage cost = Setup cost = for 0 ≤ 20 otherwise , $ 1 per item , $ 3 per item , $ 1.50 , Production cost = $ 2 per item ...
... cost where the demand has the prob- ability density function . 4p ( ) = 20 and the costs are Holding cost = Shortage cost = Setup cost = for 0 ≤ 20 otherwise , $ 1 per item , $ 3 per item , $ 1.50 , Production cost = $ 2 per item ...
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 CPF solution CPLEX decision variables described dual problem dynamic programming entering basic variable example feasible region feasible solutions final simplex tableau final tableau following problem formulation functional constraints Gaussian elimination given goal goal programming graphical identify increase initial BF solution integer interior-point 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 right-hand sides sensitivity analysis shadow prices shown simplex method slack variables solve the model Solver spreadsheet step subproblem surplus variables Table tion values weeks Wyndor Glass x₁ zero