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 81
A3.1 shows how this problem would be formulated with LINGO . The first line of
this formulation is just a comment describing the model . Note that the comment is
preceded by an exclamation point and ended by a semicolon . This is a ...
A3.1 shows how this problem would be formulated with LINGO . The first line of
this formulation is just a comment describing the model . Note that the comment is
preceded by an exclamation point and ended by a semicolon . This is a ...
Page 183
the lists of materials requirements for each pattern , and the lists of demand
forecasts for each pattern determined by customer surveys at fashion shows .
She remembers the hectic and sometimes nightmarish days of designing the fall
line and ...
the lists of materials requirements for each pattern , and the lists of demand
forecasts for each pattern determined by customer surveys at fashion shows .
She remembers the hectic and sometimes nightmarish days of designing the fall
line and ...
Page 454
( a ) Draw a rough map that shows the location of Texago's oil To To To fields ,
refineries , and distribution centers . Add arrows to show From А в C From D E F
From T the flow of crude oil and then petroleum products through this distribution
...
( a ) Draw a rough map that shows the location of Texago's oil To To To fields ,
refineries , and distribution centers . Add arrows to show From А в C From D E F
From T the flow of crude oil and then petroleum products through this distribution
...
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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