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. |
From inside the book
Results 1-3 of 77
Page 760
0.25 ( 0.6 ) = 0.15 Oil and FSS 0.15 : 0.5 0.3 Oil , given FSS 0.6 FSS , given Oil
0.4 USS , given Oil 0.1 0.14 0.7 Oil , given USS 0.25 ( 0.4 ) = 0.1 Oil and USS
0.25 Oil 0.75 Dry 0.75 ( 0.2 ) = 0.15 Dry and FSS 0.15 0.5 0.3 Dry , given FSS 0.8
USS ...
0.25 ( 0.6 ) = 0.15 Oil and FSS 0.15 : 0.5 0.3 Oil , given FSS 0.6 FSS , given Oil
0.4 USS , given Oil 0.1 0.14 0.7 Oil , given USS 0.25 ( 0.4 ) = 0.1 Oil and USS
0.25 Oil 0.75 Dry 0.75 ( 0.2 ) = 0.15 Dry and FSS 0.15 0.5 0.3 Dry , given FSS 0.8
USS ...
Page 786
( c ) What is the resulting optimal policy ? 15.3-6 . You are given the following
payoff table ( in units of dollars ) : the research predicts Sj , and ( iv ) the state of
nature is S2 and the research predicts S2 . ( d ) Find the unconditional probability
that ...
( c ) What is the resulting optimal policy ? 15.3-6 . You are given the following
payoff table ( in units of dollars ) : the research predicts Sj , and ( iv ) the state of
nature is S2 and the research predicts S2 . ( d ) Find the unconditional probability
that ...
Page 999
Consider a one - period model where the only two costs are the holding cost ,
given by 3 ( y – D ) , 10 for y D , I 19.7-4 . Solve Prob . 19.7-3 for a two - period
model , assuming no salvage value , no backlogging at the end of the second
period ...
Consider a one - period model where the only two costs are the holding cost ,
given by 3 ( y – D ) , 10 for y D , I 19.7-4 . Solve Prob . 19.7-3 for a two - period
model , assuming no salvage value , no backlogging at the end of the second
period ...
What people are saying - Write a review
User Review - Flag as inappropriate
i
User Review - Flag as inappropriate
I want review this book
Other editions - View all
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