## Introduction to Operations Research, Volume 1-- This classic, field-defining text is the market leader in Operations Research -- and it's now updated and expanded to keep professionals a step ahead -- Features 25 new detailed, hands-on case studies added to the end of problem sections -- plus an expanded look at project planning and control with PERT/CPM -- A new, software-packed CD-ROM contains Excel files for examples in related chapters, numerous Excel templates, plus LINDO and LINGO files, along with MPL/CPLEX Software and MPL/CPLEX files, each showing worked-out examples |

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Page 156

A main purpose of sensitivity analysis is to identify the sensitive

those that cannot be changed without changing ... If it is discovered that the true

value of a sensitive

A main purpose of sensitivity analysis is to identify the sensitive

**parameters**( i.e. ,those that cannot be changed without changing ... If it is discovered that the true

value of a sensitive

**parameter**differs from its estimated value in the model , this ...Page 255

existent , so that the

more than quick rules of thumb provided by ... very helpful to determine the range

of values of the

.

existent , so that the

**parameters**in the original formulation may represent littlemore than quick rules of thumb provided by ... very helpful to determine the range

of values of the

**parameter**over which the optimal solution will remain unchanged.

Page 299

For each of these following

whether this un where 8 can be assigned ... Specifically , for each

determine the apply the simplex method with 0 = 0 , the final simplex tableau is ...

For each of these following

**parameters**, perform sensitivity analysis to determinewhether this un where 8 can be assigned ... Specifically , for each

**parameter**,determine the apply the simplex method with 0 = 0 , the final simplex tableau is ...

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### Common terms and phrases

activity additional algorithm alternative amount analysis apply assignment assumed basic variable begin BF solution calculate called changes coefficients column complete Consider constraints Construct corresponding cost CPF solution customers decision demand described determine developed distribution entering equations estimated example expected feasible FIGURE final flow formulation given gives hour identify illustrate increase indicates initial inventory iteration linear programming machine Maximize mean million Minimize month needed node objective function obtained operations optimal optimal solution original parameter path payoff plant player possible presented Prob probability problem procedure profit programming problem queueing respectively resulting shown shows side simplex method solution solve step strategy Table tableau tion transportation unit waiting weeks