## 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 |

### From inside the book

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Page 186

Over the Intemet,

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

many potential

feels ...

Over the Intemet,

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

many potential

**customers**understand and use the World Wide Web. He thereforefeels ...

Page 895

Consider a self-service model in which the

this corresponds to having an infinite number of servers available.

arrive according to a Poisson process with parameter A, and service times have

an ...

Consider a self-service model in which the

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

**Customers**arrive according to a Poisson process with parameter A, and service times have

an ...

Page 904

Suppose now that type 1

the queue discipline were changed from first-comefirst-served to a priority system

with type l

Suppose now that type 1

**customers**are more important than type 2**customers**. Ifthe queue discipline were changed from first-comefirst-served to a priority system

with type l

**customers**being given nonpreemptive priority over type 2**customers**.### What people are saying - Write a review

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### Common terms and phrases

activity additional algorithm alternative amount analysis apply assignment assumed basic variable begin BF solution calculate called changes coefficients column complete Consider constraints Construct corresponding cost CPF solution customers decision demand described determine developed distribution entering equations estimated example expected feasible FIGURE final flow formulation given gives hour identify illustrate increase indicates initial inventory iteration linear programming machine Maximize mean million Minimize month needed node objective function obtained operations optimal optimal solution original parameter path payoff perform plant player possible presented Prob probability problem procedure profit programming problem queueing respectively resulting shown shows side simplex method solution solve step strategy Table tableau tion transportation unit waiting weeks