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 40
Page 912
E ( TC ) = E ( SC ) + E ( WC ) Sum of costs Cost of service E ( SC ) Expected cost
Cost of waiting E ( WC ) - Solution FIGURE 18.4 Conceptual solution procedure
for many waitingline problems . Level of service is being wasted by this idleness
...
E ( TC ) = E ( SC ) + E ( WC ) Sum of costs Cost of service E ( SC ) Expected cost
Cost of waiting E ( WC ) - Solution FIGURE 18.4 Conceptual solution procedure
for many waitingline problems . Level of service is being wasted by this idleness
...
Page 913
Therefore , little productive output may be lost by having just a few members idle ,
waiting for service in the queueing system , whereas the loss may increase
greatly if a few more members are made idle because they require service .
Therefore , little productive output may be lost by having just a few members idle ,
waiting for service in the queueing system , whereas the loss may increase
greatly if a few more members are made idle because they require service .
Page 927
17.3-1 , briefly describe the nature of the cost of service and the cost of waiting
that would need to be considered in designing the system . 18.3-1 . * Suppose
that a queueing system fits the MIM / 1 model described in Sec . 17.6 , with i = 2
and ...
17.3-1 , briefly describe the nature of the cost of service and the cost of waiting
that would need to be considered in designing the system . 18.3-1 . * Suppose
that a queueing system fits the MIM / 1 model described in Sec . 17.6 , with i = 2
and ...
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