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 163
Frederick S. Hillier, Gerald J. Lieberman. ever , when the spreadsheet grows to
an unwieldy size , a good modeling language and its solver may provide a more
efficient approach to formulating and solving the model . Spreadsheets provide
an ...
Frederick S. Hillier, Gerald J. Lieberman. ever , when the spreadsheet grows to
an unwieldy size , a good modeling language and its solver may provide a more
efficient approach to formulating and solving the model . Spreadsheets provide
an ...
Page 167
The Complementary Roles of the Simplex Method and the Interior - Point
Approach Ongoing research is continuing to provide substantial improvements in
computer implementations of both the simplex method ( including its variants )
and ...
The Complementary Roles of the Simplex Method and the Interior - Point
Approach Ongoing research is continuing to provide substantial improvements in
computer implementations of both the simplex method ( including its variants )
and ...
Page 778
The approach used in the preceding sections of maximizing the expected
monetary payoff amounts to assuming that the decision maker is risk - neutral , so
that u ( M ) = M. By using utility theory , the optimal solution now reflects the
decision ...
The approach used in the preceding sections of maximizing the expected
monetary payoff amounts to assuming that the decision maker is risk - neutral , so
that u ( M ) = M. By using utility theory , the optimal solution now reflects the
decision ...
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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