## 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 178

(b) Using the Big M method, construct the complete

simplex method and identify the corresponding initial (artificial) BF solution. Also

identify the initial entering basic variable and the leaving basic variable.

(b) Using the Big M method, construct the complete

**first**simplex tableau for thesimplex method and identify the corresponding initial (artificial) BF solution. Also

identify the initial entering basic variable and the leaving basic variable.

Page 337

TABLE 7.6 Revised formulation for the Dewright Co. preemptive goal

programming problem Priority Level Factor Goal Penalty Weight - - - Employment

level <40 2M

Second ...

TABLE 7.6 Revised formulation for the Dewright Co. preemptive goal

programming problem Priority Level Factor Goal Penalty Weight - - - Employment

level <40 2M

**First**priority Capital investment <55 3M - - Long-run profit :=125 5Second ...

Page 728

By contrast, the strategies would be more complicated in a different situation

where each politician learns where his opponent will spend the

he finalizes his own plans for his second day. In that case, a typical strategy

would be: ...

By contrast, the strategies would be more complicated in a different situation

where each politician learns where his opponent will spend the

**first**day beforehe finalizes his own plans for his second day. In that case, a typical strategy

would be: ...

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### Common terms and phrases

activity additional algorithm amount analysis apply approach assignment assumed basic variable begin BF solution calculate called changes column complete Consider constraints Construct corresponding cost CPF solution customers decision demand described determine developed distribution entering equations estimated example expected feasible FIGURE ﬁrst flow formulation given gives hour identify illustrate increase indicates initial inventory involves iteration linear programming machine Maximize mean million Minimize month needed node objective function obtained operations optimal optimal solution original parameter path 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