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 83
The attributes of interest for the members of these sets are 1. Attribute for each
machine : Number of hours of production time available per week . 2. Attributes
for each product : Profit per unit produced ; Number of units produced per week .
The attributes of interest for the members of these sets are 1. Attribute for each
machine : Number of hours of production time available per week . 2. Attributes
for each product : Profit per unit produced ; Number of units produced per week .
Page 382
Prototype Example The JOB SHOP COMPANY has purchased three new
machines of different types . There are four available locations in the shop where
a machine could be installed . Some of these locations are more desirable than
others ...
Prototype Example The JOB SHOP COMPANY has purchased three new
machines of different types . There are four available locations in the shop where
a machine could be installed . Some of these locations are more desirable than
others ...
Page 900
What is the resulting machines . For each machine , the probability distribution of
the runutilization of the crew ? ning time before a breakdown is exponential , with
a mean of 9 hours . The repair time also has an exponential distribution , with a ...
What is the resulting machines . For each machine , the probability distribution of
the runutilization of the crew ? ning time before a breakdown is exponential , with
a mean of 9 hours . The repair time also has an exponential distribution , with a ...
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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 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