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Page 550
Table 11.2 gives the estimated probability that the respective teams will fail when
0 , 1 , or 2 additional scientists are added to that team . Only integer numbers of
scientists are considered because each new scientist will need to devote full ...
Table 11.2 gives the estimated probability that the respective teams will fail when
0 , 1 , or 2 additional scientists are added to that team . Only integer numbers of
scientists are considered because each new scientist will need to devote full ...
Page 617
Using square brackets to denote [ x * ] = greatest integer = x , we have for the
range of values for the two new subproblems x ; < ( x * ] and X ; = [ x * ] + 1 ,
respectively . Each inequality becomes an additional constraint for that new
subproblem .
Using square brackets to denote [ x * ] = greatest integer = x , we have for the
range of values for the two new subproblems x ; < ( x * ] and X ; = [ x * ] + 1 ,
respectively . Each inequality becomes an additional constraint for that new
subproblem .
Page 715
( d ) Now suppose that there is an additional constraint that the profit from
products 1 and 2 must total at least $ 9,000 . Use the technique presented in the “
Extensions ” subsection of Sec . 13.8 to add this constraint to the model
formulated in ...
( d ) Now suppose that there is an additional constraint that the profit from
products 1 and 2 must total at least $ 9,000 . Use the technique presented in the “
Extensions ” subsection of Sec . 13.8 to add this constraint to the model
formulated in ...
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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 |