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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Results 1-3 of 77
Page 15
Therefore , the goal of an OR study should be to conduct the study in an optimal
manner , regardless of whether this involves finding an optimal solution for the
model . Thus , in addition to pursuing the science of the ultimate , the team should
...
Therefore , the goal of an OR study should be to conduct the study in an optimal
manner , regardless of whether this involves finding an optimal solution for the
model . Thus , in addition to pursuing the science of the ultimate , the team should
...
Page 24
Briefly , the most common type of application involves the general problem of
allocating limited resources among competing activities in a best possible ( i.e. ,
optimal ) way . More precisely , this problem involves selecting the level of certain
...
Briefly , the most common type of application involves the general problem of
allocating limited resources among competing activities in a best possible ( i.e. ,
optimal ) way . More precisely , this problem involves selecting the level of certain
...
Page 219
One of these applications involves the revised simplex method . As described in
the preceding section ( see Table 5.8 ) , this method used Bo and the initial
tableau to calculate all the relevant numbers in the current tableau for every
iteration .
One of these applications involves the revised simplex method . As described in
the preceding section ( see Table 5.8 ) , this method used Bo and the initial
tableau to calculate all the relevant numbers in the current tableau for every
iteration .
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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