## 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. |

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Page 54

In this particular problem , the decisions to be made are well defined , but the appropriate means of conveying this information may ... ( Try it and see if you first obtain the following inappropriate choice of

In this particular problem , the decisions to be made are well defined , but the appropriate means of conveying this information may ... ( Try it and see if you first obtain the following inappropriate choice of

**decision variables**. ) ...Page 75

With 10 plants , 10 machines , 10 products , and 10 months , this gives a total of 21,000

With 10 plants , 10 machines , 10 products , and 10 months , this gives a total of 21,000

**decision variables**, as outlined below .**Decision Variables**. 10,000 production variables : one for each combination of a plant , machine ...Page 78

For each production capacity constraint , each term in the summation consists of a

For each production capacity constraint , each term in the summation consists of a

**decision variable**( the ... give the correct value to the current inventory variable , given the values of all the other**decision variables**including the ...### What people are saying - Write a review

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### Other editions - View all

Introduction to Operations Research Frederick S. Hillier,Gerald J. Lieberman No preview available - 2001 |

### Common terms and phrases

activity additional algorithm allowable amount apply assignment basic solution basic variable BF solution bound boundary called changes coefficients column complete Consider constraints Construct corresponding cost CPF solution decision variables demand described determine direction distribution dual problem entering equal equations estimates example feasible feasible region FIGURE final flow formulation functional constraints given gives goal identify illustrate increase indicates initial iteration linear programming Maximize million Minimize month needed node nonbasic variables objective function obtained operations optimal optimal solution original parameters path Plant possible presented primal problem Prob procedure profit programming problem provides range remaining resource respective resulting shown shows side simplex method simplex tableau slack solve step supply Table tableau tion unit weeks Wyndor Glass zero