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 170
The column to the right of these values gives the reduced costs . We have not
discussed reduced costs in this chapter because the information they provide can
also be gleaned from the allowable range to stay optimal for the coefficients in
the ...
The column to the right of these values gives the reduced costs . We have not
discussed reduced costs in this chapter because the information they provide can
also be gleaned from the allowable range to stay optimal for the coefficients in
the ...
Page 231
For the primal problem , each column ( except the Right Side column ) gives the
coefficients of a single variable in the respective constraints and then in the
objective function , whereas each row ( except the bottom one ) gives the
parameters ...
For the primal problem , each column ( except the Right Side column ) gives the
coefficients of a single variable in the respective constraints and then in the
objective function , whereas each row ( except the bottom one ) gives the
parameters ...
Page 1107
For discrete distributions , a table lookup approach can be taken by constructing
a table that gives a “ range " ( jump ) in the value of F ( x ) for each possible value
of X = x . Excel provides a convenient VLOOKUP function to implement this ...
For discrete distributions , a table lookup approach can be taken by constructing
a table that gives a “ range " ( jump ) in the value of F ( x ) for each possible value
of X = x . Excel provides a convenient VLOOKUP function to implement this ...
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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