## 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 333

An upper , one - sided

An upper , one - sided

**goal**sets an upper limit that we do not want to exceed ( but falling under the limit is fine ) . 3. A two - sided**goal**sets a specific target that we do not want to miss on either side .**Goal**programming problems ...Page 345

In particular , using the units given in the following table , they want to Maximize Z = P – 6C – 3D , 7.5-1 . One of management's

In particular , using the units given in the following table , they want to Maximize Z = P – 6C – 3D , 7.5-1 . One of management's

**goals**in a**goal**programming problem is expressed algebraically as 3.x , + 4x2 + 2x3 = 60 , where 60 is ...Page 346

Reconsider the original version of the Dewright Co. prob- first - priority

Reconsider the original version of the Dewright Co. prob- first - priority

**goal**is citizens fed 2 1,750,000 , the secondlem presented in Sec . 7.5 and summarized in Table 7.5 . After fur- priority**goal**is foreign capital 2 $ 70,000,000 ...### What people are saying - Write a review

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activity additional algorithm allowable amount apply assignment basic solution basic variable BF solution bound boundary called changes coefficients column complete Consider constraints Construct corresponding cost CPF solution decision variables demand described determine distribution dual problem entering equal equations estimates example feasible feasible region 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 shown shows side simplex method simplex tableau slack solve step supply Table tableau tion unit weeks Wyndor Glass zero