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 989
Compare the results ( including the various costs ) with those obtained in part ( c ) . ( e ) Verify your answer for the ... ( d ) The unit holding cost is reduced to 25 percent of its original value . ( e ) Both changes in parts ( a ) ...
Compare the results ( including the various costs ) with those obtained in part ( c ) . ( e ) Verify your answer for the ... ( d ) The unit holding cost is reduced to 25 percent of its original value . ( e ) Both changes in parts ( a ) ...
Page 992
Regular - Time Unit Cost Month Sarah purchases the circus peanuts from Peter's Peanut Shop . She has been purchasing 100 bags at a time . However , to encourage larger purchases , Peter now is offering her discounts for larger order ...
Regular - Time Unit Cost Month Sarah purchases the circus peanuts from Peter's Peanut Shop . She has been purchasing 100 bags at a time . However , to encourage larger purchases , Peter now is offering her discounts for larger order ...
Page 998
Using the approximation for finding the optimal policy for the stochastic single - period model with a setup cost when demand has an exponential distribution , find this policy when ( a ) When interpreting this problem as an inventory ...
Using the approximation for finding the optimal policy for the stochastic single - period model with a setup cost when demand has an exponential distribution , find this policy when ( a ) When interpreting this problem as an inventory ...
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Contents
SUPPLEMENT TO APPENDIX 3 | 3 |
Problems | 6 |
SUPPLEMENT TO CHAPTER | 18 |
Copyright | |
52 other sections not shown
Other editions - View all
Introduction to Operations Research Frederick S. Hillier,Gerald J. Lieberman No preview available - 2001 |
Common terms and phrases
activity additional algorithm allocation allowable amount apply assignment basic solution basic variable BF solution bound boundary called changes coefficients column complete Consider constraint Construct corresponding cost CPF solution decision variables demand described determine distribution dual problem entering equal equations estimates example feasible feasible region feasible solutions FIGURE final flow formulation 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 remaining resource respective resulting revised shown shows side simplex method simplex tableau slack solve step supply Table tableau tion unit values weeks Wyndor Glass zero