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Page 69
Finally, the value of the objective function is entered in cell E8. Much like the
other values in column E, it is the sum of products. The equation for cell E8 is =
SUMPRODUCT(C8:D8,C9:D9). The lower right-hand side of Fig. 3.14 shows all
the ...
Finally, the value of the objective function is entered in cell E8. Much like the
other values in column E, it is the sum of products. The equation for cell E8 is =
SUMPRODUCT(C8:D8,C9:D9). The lower right-hand side of Fig. 3.14 shows all
the ...
Page 148
Begin with their objective functions. Phase I: Minimize Z = E4 + E6. Phase 2:
Minimize Z = 0.4x, + 0.5x2. Because the MR4 and M is terms dominate the 0.4x,
and 0.5x; terms in the objective function for the Big M method, this objective
function ...
Begin with their objective functions. Phase I: Minimize Z = E4 + E6. Phase 2:
Minimize Z = 0.4x, + 0.5x2. Because the MR4 and M is terms dominate the 0.4x,
and 0.5x; terms in the objective function for the Big M method, this objective
function ...
Page 273
Analyzing Simultaneous Changes in Objective Function Coefficients. Regardless
of whether xj is a basic or nonbasic variable, the allowable range to stay optimal
for cj is valid only if this objective function coefficient is the only one being ...
Analyzing Simultaneous Changes in Objective Function Coefficients. Regardless
of whether xj is a basic or nonbasic variable, the allowable range to stay optimal
for cj is valid only if this objective function coefficient is the only one being ...
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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
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 |