## 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

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 528

They also estimate the time needed to

shown below. -_\. - §-elm' Q $-._-gi-11 Milestones Directly Time to

Milestone Preceding Each Milestone Each Milestone A.

None.

They also estimate the time needed to

**complete**each milestone. The list isshown below. -_\. - §-elm' Q $-._-gi-11 Milestones Directly Time to

**Complete**Milestone Preceding Each Milestone Each Milestone A.

**Complete**and submit anNone.

Page 529

Milestones Directly Time to

Milestone Each Milestone ' 'film G. Attend a mock interview

an on-line 4 days hosted by the career center to practice interviewing and to

learn ...

Milestones Directly Time to

**Complete**it IQ ~: I Milestone Preceding EachMilestone Each Milestone ' 'film G. Attend a mock interview

**Complete**and submitan on-line 4 days hosted by the career center to practice interviewing and to

learn ...

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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