## 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 186

Over the Internet ,

computers either at home or at work . The explosion of the Internet means that

many potential

therefore ...

Over the Internet ,

**customers**are able to perform transactions on their desktopcomputers either at home or at work . The explosion of the Internet means that

many potential

**customers**understand and use the World Wide Web . Hetherefore ...

Page 895

Consider a self - service model in which the

that this corresponds to having an infinite number of servers available .

times have ...

Consider a self - service model in which the

**customer**is also the server . Notethat this corresponds to having an infinite number of servers available .

**Customers**arrive according to a Poisson process with parameter 1 , and servicetimes have ...

Page 904

Develop a table showing the data presented in Table 17.4 for this revised

problem . for both types of

with a mean of 6 minutes . ( a ) First focus on the problem of deriving the steady -

state ...

Develop a table showing the data presented in Table 17.4 for this revised

problem . for both types of

**customers**according to an exponential distributionwith a mean of 6 minutes . ( a ) First focus on the problem of deriving the steady -

state ...

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### Common terms and phrases

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