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 19
Then , even as personnel changes , the system can be called on at regular
intervals to provide a specific numerical solution . ' This system usually is
computer - based . In fact , a considerable number of computer programs often
need to be ...
Then , even as personnel changes , the system can be called on at regular
intervals to provide a specific numerical solution . ' This system usually is
computer - based . In fact , a considerable number of computer programs often
need to be ...
Page 33
The function being maximized , Cixi + CnXn , is called the objective function . The
restrictions normally are referred to as constraints . The first m constraints ( those
with a function of all the variables a ;; X1 + 2i2x2 + + aintin on the left - hand ...
The function being maximized , Cixi + CnXn , is called the objective function . The
restrictions normally are referred to as constraints . The first m constraints ( those
with a function of all the variables a ;; X1 + 2i2x2 + + aintin on the left - hand ...
Page 472
Using Microsoft Project The first step with Microsoft Project ( commonly called MS
Project ) is to enter the information in the activity list ( Table 10.1 ) . Choose the
View menu and then select its option called Table . From the resulting submenu ...
Using Microsoft Project The first step with Microsoft Project ( commonly called MS
Project ) is to enter the information in the activity list ( Table 10.1 ) . Choose the
View menu and then select its option called Table . From the resulting submenu ...
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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