## 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 226

After you apply the simplex method , a portion of the final

follows : ( a ) Use the fundamental insight presented in Sec . 5.3 to identify the

missing numbers in the final

Identify ...

After you apply the simplex method , a portion of the final

**simplex tableau**is asfollows : ( a ) Use the fundamental insight presented in Sec . 5.3 to identify the

missing numbers in the final

**simplex tableau**. Show your calculations . ( b )Identify ...

Page 228

plex

contains S * for applying the fundamental insight in the final

these are the appropriate columns . 5.3-11 . Consider the following problem .

plex

**tableau**for the**simplex**method , and then identify the columns that willcontains S * for applying the fundamental insight in the final

**tableau**. Explain whythese are the appropriate columns . 5.3-11 . Consider the following problem .

Page 367

TABLE 8.14 Row 0 of

transportation problem Coefficient of : Basic Variable Right Side Eq . Z Xy 21 2m

+ ] m Z ( 0 ) -1 Cij - U ; – Vi M - uy M - V ; - cN divi ( We will illustrate this

straightforward ...

TABLE 8.14 Row 0 of

**simplex tableau**when simplex method is applied totransportation problem Coefficient of : Basic Variable Right Side Eq . Z Xy 21 2m

+ ] m Z ( 0 ) -1 Cij - U ; – Vi M - uy M - V ; - cN divi ( We will illustrate this

straightforward ...

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### Common terms and phrases

activity additional algorithm allocation allowable amount apply assignment basic solution basic variable BF solution bound boundary called changes coefficients column complete Consider constraint Construct corresponding cost CPF solution decision variables demand described determine distribution dual problem entering equal 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 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 revised shown shows side simplex method simplex tableau slack solve step supply Table tableau tion unit values weeks Wyndor Glass zero