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 102
Then use the Excel Solver to solve the model. C (c) Use MPL to formulate this
model in a compact form. Then use the MPL solver CPLEX to solve the model. C
(d) Use LINGO to formulate this model in a compact form. Then use the LINGO ...
Then use the Excel Solver to solve the model. C (c) Use MPL to formulate this
model in a compact form. Then use the MPL solver CPLEX to solve the model. C
(d) Use LINGO to formulate this model in a compact form. Then use the LINGO ...
Page 178
(a) Solve this problem graphically. (b) Using the Big M method, construct the
complete first simplex tableau for the simplex method and identify the
corresponding initial (artificial) BF solution. Also identify the initial entering basic
variable and ...
(a) Solve this problem graphically. (b) Using the Big M method, construct the
complete first simplex tableau for the simplex method and identify the
corresponding initial (artificial) BF solution. Also identify the initial entering basic
variable and ...
Page 640
(b) Use this algorithm to solve this problem. 12.6-9.” Consider the following
nonlinear BIP problem. Maximize Z = 80x1 + 60x2 + 40x3 + 20x4 - (7x1 + 5x2 +
3x3 + 2x4), subject to x, is binary, for j = 1, 2, 3, 4. Given the value of the first k
variables ...
(b) Use this algorithm to solve this problem. 12.6-9.” Consider the following
nonlinear BIP problem. Maximize Z = 80x1 + 60x2 + 40x3 + 20x4 - (7x1 + 5x2 +
3x3 + 2x4), subject to x, is binary, for j = 1, 2, 3, 4. Given the value of the first k
variables ...
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Common terms and phrases
activity additional algorithm amount analysis apply approach assignment assumed basic variable begin BF solution calculate called changes column complete Consider constraints Construct corresponding cost CPF solution customers decision demand described determine developed distribution entering equations estimated example expected feasible FIGURE first flow formulation given gives hour identify illustrate increase indicates initial inventory involves iteration linear programming machine Maximize mean million Minimize month needed node objective function obtained operations optimal optimal solution original parameter path 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 |