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 xxiv
3.6 describes and illustrates how to use Excel and its Solver to formulate and
solve linear programming models on a spreadsheet. Similar discussions and
examples also are included in several subsequent chapters for other kinds of
models.
3.6 describes and illustrates how to use Excel and its Solver to formulate and
solve linear programming models on a spreadsheet. Similar discussions and
examples also are included in several subsequent chapters for other kinds of
models.
Page 87
The first five uses of GOLE () above illustrate that this function can be used on the
right of an assignment statement to retrieve data from a spreadsheet. The last use
above illustrates that this function can be placed on the left of an assignment ...
The first five uses of GOLE () above illustrate that this function can be used on the
right of an assignment statement to retrieve data from a spreadsheet. The last use
above illustrates that this function can be placed on the left of an assignment ...
Page 628
To illustrate this technique, consider the California Manufacturing Co. pure BIP
problem presented in Sec. 12.1 and used to illustrate the BIP branch-and-bound
algorithm in Sec. 12.6. The optimal solution for its LP relaxation is 628 12 ...
To illustrate this technique, consider the California Manufacturing Co. pure BIP
problem presented in Sec. 12.1 and used to illustrate the BIP branch-and-bound
algorithm in Sec. 12.6. The optimal solution for its LP relaxation is 628 12 ...
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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 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 |