Introduction to Operations ResearchCD-ROM contains: Student version of MPL Modeling System and its solver CPLEX -- MPL tutorial -- Examples from the text modeled in MPL -- Examples from the text modeled in LINGO/LINDO -- Tutorial software -- Excel add-ins: TreePlan, SensIt, RiskSim, and Premium Solver -- Excel spreadsheet formulations and templates. |
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Page 277
tiated immediately on a small scale ( x2 = Ž ) and that this experience be used to
guide the decision on whether the remaining production capacity should be
allocated to product 2 or product 1 . The Allowable Range to Stay Optimal . For
Case ...
tiated immediately on a small scale ( x2 = Ž ) and that this experience be used to
guide the decision on whether the remaining production capacity should be
allocated to product 2 or product 1 . The Allowable Range to Stay Optimal . For
Case ...
Page 299
Determine the upper bound on & before the original optimal solution would
become nonoptimal . Then determine the best choice of over this range . 6 . 7 -
26 . Consider the following parametric linear programming problem . Maximize Z
( O ) ...
Determine the upper bound on & before the original optimal solution would
become nonoptimal . Then determine the best choice of over this range . 6 . 7 -
26 . Consider the following parametric linear programming problem . Maximize Z
( O ) ...
Page 634
Show how to reformulate these restrictions to fit an MIP model . at essentially
maximum capacity . It is estimated that the net annual profit ( after capital
recovery costs are subtracted ) would be $ 4 . 2 million per long - range plane , $
3 million ...
Show how to reformulate these restrictions to fit an MIP model . at essentially
maximum capacity . It is estimated that the net annual profit ( after capital
recovery costs are subtracted ) would be $ 4 . 2 million per long - range plane , $
3 million ...
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Contents
SUPPLEMENT TO APPENDIX 3 | 3 |
Problems | 6 |
An Algorithm for the Assignment Problem | 18 |
Copyright | |
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Common terms and phrases
activity additional algorithm allocation allowable amount apply assignment basic solution basic variable BF solution bound boundary calculations called capacity changes coefficients column complete Consider constraints construct corresponding cost CPF solution demand described determine direction distribution dual problem entering equal equations estimates example feasible FIGURE final flow problem Formulate functional constraints given gives goal identify illustrate increase indicates initial iteration linear programming Maximize million Minimize month needed node nonbasic variables objective function obtained operations optimal optimal solution original parameters path plant possible presented primal problem Prob procedure profit programming problem provides range resource respective resulting revised Select shown shows side simplex method simplex tableau slack solve step supply Table tableau tion unit values weeks Wyndor Glass zero