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 388
To make this assignment of an extra product possible within an assignment
problem formulation , Plants 1 and 2 each are split into two assignees , as shown
in Table 8.29 . The number of assignees ( now five ) must equal the number of
tasks ...
To make this assignment of an extra product possible within an assignment
problem formulation , Plants 1 and 2 each are split into two assignees , as shown
in Table 8.29 . The number of assignees ( now five ) must equal the number of
tasks ...
Page 389
To make this assignment of an extra product possible within an assignment
problem formulation , Plants 1 and 2 each are split into two assignees , as shown
in Table 8.29 . The number of assignees ( now five ) must equal the number of
tasks ...
To make this assignment of an extra product possible within an assignment
problem formulation , Plants 1 and 2 each are split into two assignees , as shown
in Table 8.29 . The number of assignees ( now five ) must equal the number of
tasks ...
Page 400
( c ) Reformulate this assignment problem as an equivalent transportation
problem with two sources and three destinations by constructing the appropriate
parameter table . c ( d ) Obtain an optimal solution for the problem as formulated
in part ...
( c ) Reformulate this assignment problem as an equivalent transportation
problem with two sources and three destinations by constructing the appropriate
parameter table . c ( d ) Obtain an optimal solution for the problem as formulated
in part ...
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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