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 577
For example , should we undertake a particular fixed project ? Should we make a
particular fixed investment ? Should we locate a facility in a particular site ? With
just two choices , we can represent such decisions by decision variables that ...
For example , should we undertake a particular fixed project ? Should we make a
particular fixed investment ? Should we locate a facility in a particular site ? With
just two choices , we can represent such decisions by decision variables that ...
Page 580
Section 12.6 will use the prototype example to illustrate the application of the
pure BIP algorithm presented there . 12.2 SOME BIP APPLICATIONS Just as in
the California Manufacturing Co. example , managers frequently must face yesor
- no ...
Section 12.6 will use the prototype example to illustrate the application of the
pure BIP algorithm presented there . 12.2 SOME BIP APPLICATIONS Just as in
the California Manufacturing Co. example , managers frequently must face yesor
- no ...
Page 1206
... 811-812 periodicity properties , 812 recurrent and transition states , 811-812
continuous time , 864 , 879 in birth and death process , 848 example , 826-827
formulation , 822–823 key random variables , 823–825 steady - state
probabilities ...
... 811-812 periodicity properties , 812 recurrent and transition states , 811-812
continuous time , 864 , 879 in birth and death process , 848 example , 826-827
formulation , 822–823 key random variables , 823–825 steady - state
probabilities ...
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Common terms and phrases
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
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 |