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 388
... assigned a real product ( a choice of product 1 , 2 , 3 , or 4 ) , so the Big M method is needed to prevent the assignment of the fictional product to Plant 3 instead . ( As in Table 8.28 , M also is used to prevent the infeasible ...
... assigned a real product ( a choice of product 1 , 2 , 3 , or 4 ) , so the Big M method is needed to prevent the assignment of the fictional product to Plant 3 instead . ( As in Table 8.28 , M also is used to prevent the infeasible ...
Page 399
... assigned one product , and two plants are to be assigned none ) . The objective is to make these assignments so as to minimize the total cost of pro- ducing these amounts of the three products . ( a ) Formulate this problem as an ...
... assigned one product , and two plants are to be assigned none ) . The objective is to make these assignments so as to minimize the total cost of pro- ducing these amounts of the three products . ( a ) Formulate this problem as an ...
Page 408
... assigned in one direction and then a flow of 4 is assigned in the opposite direction , the ac- tual effect is to cancel 4 units of the original assignment by reducing the flow in the origi- nal direction from 10 to 6. Even for a ...
... assigned in one direction and then a flow of 4 is assigned in the opposite direction , the ac- tual effect is to cancel 4 units of the original assignment by reducing the flow in the origi- nal direction from 10 to 6. Even for a ...
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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 dual problem dual simplex method dynamic programming entering basic variable estimates example feasible region feasible solutions final simplex tableau final tableau following problem formulation functional constraints Gaussian elimination given goal programming 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 slack variables solve the model Solver spreadsheet step subproblem surplus variables Table tion unit profit values weeks Wyndor Glass x₁ zero