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 115
Therefore , the original constraint x1 = 4 is entirely equivalent to the pair of
constraints x1 + x3 = 4 and X3 > 0 . Upon the introduction of slack variables for
the other functional constraints , the original linear programming model for the
example ...
Therefore , the original constraint x1 = 4 is entirely equivalent to the pair of
constraints x1 + x3 = 4 and X3 > 0 . Upon the introduction of slack variables for
the other functional constraints , the original linear programming model for the
example ...
Page 253
In some situations , these activities were selected from a larger group of possible
activities , where the remaining activities were not included in the original model
because they seemed less attractive . Or perhaps these other activities did not ...
In some situations , these activities were selected from a larger group of possible
activities , where the remaining activities were not included in the original model
because they seemed less attractive . Or perhaps these other activities did not ...
Page 264
When the fundamental insight ( Table 6.17 ) is applied , the effect of this change
in b2 on the original final simplex tableau ( middle of Table 6.19 ) is that the
entries in the right - side column change to the following values : 4 Z * = y * b = [ 0
, ź ...
When the fundamental insight ( Table 6.17 ) is applied , the effect of this change
in b2 on the original final simplex tableau ( middle of Table 6.19 ) is that the
entries in the right - side column change to the following values : 4 Z * = y * b = [ 0
, ź ...
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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