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Results 1-3 of 90
Page 256
just how any changes in the original model would change the numbers in the
final simplex tableau (assuming that the same sequence of algebraic operations
originally performed by the simplex method were to be duplicated). Therefore,
after ...
just how any changes in the original model would change the numbers in the
final simplex tableau (assuming that the same sequence of algebraic operations
originally performed by the simplex method were to be duplicated). Therefore,
after ...
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, #, 1] ...
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, #, 1] ...
Page 294
(g) For each of the 16 combinations of unit profits considered in parts (c) and (d)
where both unit profits differ from their original estimates, use the 100 percent
rule for simultaneous changes in objective function coefficients to determine if the
...
(g) For each of the 16 combinations of unit profits considered in parts (c) and (d)
where both unit profits differ from their original estimates, use the 100 percent
rule for simultaneous changes in objective function coefficients to determine if the
...
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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 perform 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
Bibliographic information
| Title | Introduction to Operations Research, Volume 1 Introduction to Operations Research, Frederick S. Hillier McGraw-Hill series in industrial engineering and management science |
| Authors | Frederick S. Hillier, Gerald J. Lieberman |
| Edition | 7, illustrated |
| Publisher | McGraw-Hill, 2001 |
| Original from | the University of Michigan |
| Digitized | 8 Aug 2011 |
| ISBN | 0072416181, 9780072416183 |
| Length | 1214 pages |
| Export Citation | BiBTeX EndNote RefMan |