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 152
Thus , the simplex method now can make some of the x variables larger than
zero even when x " > 0 . 4.7 POSTOPTIMALITY ANALYSIS We stressed in Secs .
2.3 , 2.4 , and 2.5 that postoptimality analysis — the analysis done after an
optimal ...
Thus , the simplex method now can make some of the x variables larger than
zero even when x " > 0 . 4.7 POSTOPTIMALITY ANALYSIS We stressed in Secs .
2.3 , 2.4 , and 2.5 that postoptimality analysis — the analysis done after an
optimal ...
Page 295
Answer this question in parts ( a ) to ( e ) by using a software package based on
the simplex method to generate sensitivity analysis information . If the optimal
solution might change , use the software package to re - solve for the optimal ...
Answer this question in parts ( a ) to ( e ) by using a software package based on
the simplex method to generate sensitivity analysis information . If the optimal
solution might change , use the software package to re - solve for the optimal ...
Page 781
July - Aug . , 1996 If you would like to do more reading about the practical
application of decision analysis , a good place to begin would be the November -
December 1992 issue of Interfaces . This is a special issue devoted entirely to
decision ...
July - Aug . , 1996 If you would like to do more reading about the practical
application of decision analysis , a good place to begin would be the November -
December 1992 issue of Interfaces . This is a special issue devoted entirely to
decision ...
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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