## 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

Results 1-3 of 81

Page 408

B. The arcs of a network may have a

examples of

...

B. The arcs of a network may have a

**flow**of some type through them , e.g. , the**flow**of trams on the roads of Seervada Park in Sec . 9.1 . Table 9.1 gives severalexamples of

**flow**in typical networks . If**flow**through an arc is allowed in only one...

Page 422

Maximize the

water through a system of aqueducts . 5. Maximize the

transportation network . For some of these applications , the

Maximize the

**flow**of oil through a system of pipelines . 4. Maximize the**flow**ofwater through a system of aqueducts . 5. Maximize the

**flow**of vehicles through atransportation network . For some of these applications , the

**flow**through the ...Page 429

spective arcs , these quantities are entered in the changing cells in column D (

cells D4 : D15 ) . Employing the equations given in the bottom right - hand corner

of the figure , these

each ...

spective arcs , these quantities are entered in the changing cells in column D (

cells D4 : D15 ) . Employing the equations given in the bottom right - hand corner

of the figure , these

**flows**then are used to calculate the net**flow**generated ateach ...

### What people are saying - Write a review

We haven't found any reviews in the usual places.

### Other editions - View all

### 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 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