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 113
Solution concept 1 : The simplex method focuses solely on CPF solutions . For
any problem with at least one optimal solution , finding one requires only finding
a best CPF solution . " Since the number of feasible solutions generally is infinite
...
Solution concept 1 : The simplex method focuses solely on CPF solutions . For
any problem with at least one optimal solution , finding one requires only finding
a best CPF solution . " Since the number of feasible solutions generally is infinite
...
Page 174
4x1 - x2 = 10 -X1 + 2x2 5 5 and ( b ) For each CPF solution , identify the
corresponding BF solution by calculating the values of the slack variables . For
each BF solution , use the values of the variables to identify the nonbasic
variables and the ...
4x1 - x2 = 10 -X1 + 2x2 5 5 and ( b ) For each CPF solution , identify the
corresponding BF solution by calculating the values of the slack variables . For
each BF solution , use the values of the variables to identify the nonbasic
variables and the ...
Page 222
Identify the CPF solutions by ( a ) Identify the 10 sets of defining equations for this
problem . For circling them on the graph . each one , solve ( if a solution exists )
for the corresponding cor( b ) Develop a table giving each of the CPF solutions ...
Identify the CPF solutions by ( a ) Identify the 10 sets of defining equations for this
problem . For circling them on the graph . each one , solve ( if a solution exists )
for the corresponding cor( b ) Develop a table giving each of the CPF solutions ...
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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