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 769
Finally, we move left to fork a, a decision fork. Applying step 3 yields Fork a: Do
seismic survey has EP = 123. No seismic survey has EP = 100. 123 > 100, so
choose Do seismic survey. This expected payoff of 123 now would be recorded
over ...
Finally, we move left to fork a, a decision fork. Applying step 3 yields Fork a: Do
seismic survey has EP = 123. No seismic survey has EP = 100. 123 > 100, so
choose Do seismic survey. This expected payoff of 123 now would be recorded
over ...
Page 770
(displayed by a vertical hash mark at the end of a branch) and then choosing
Decision Tree from the Tools menu brings up the “TreePlan . . . Terminal”
dialogue box (see Fig. 15.12), which enables you to change the terminal fork into
either a ...
(displayed by a vertical hash mark at the end of a branch) and then choosing
Decision Tree from the Tools menu brings up the “TreePlan . . . Terminal”
dialogue box (see Fig. 15.12), which enables you to change the terminal fork into
either a ...
Page 1057
A specification of the decisions for the respective states (do, d1, . . . , dw)
prescribes a policy for the Markov decision process. 6. The objective is to find an
optimal policy according to some cost criterion which considers both immediate
costs ...
A specification of the decisions for the respective states (do, d1, . . . , dw)
prescribes a policy for the Markov decision process. 6. The objective is to find an
optimal policy according to some cost criterion which considers both immediate
costs ...
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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 perform 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 |