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 369
To begin , all source rows and destination columns of the transportation simplex
tableau are initially under consideration for ... Eliminate that row or column (
whichever had the smaller remaining supply or demand ) from further
consideration .
To begin , all source rows and destination columns of the transportation simplex
tableau are initially under consideration for ... Eliminate that row or column (
whichever had the smaller remaining supply or demand ) from further
consideration .
Page 371
At each iteration , after the difference for every row and column remaining under
consideration is calculated and displayed , the largest difference is circled and
the smallest unit cost in its row or column is enclosed in a box . The resulting ...
At each iteration , after the difference for every row and column remaining under
consideration is calculated and displayed , the largest difference is circled and
the smallest unit cost in its row or column is enclosed in a box . The resulting ...
Page 413
Now let us relate these columns directly to the outline given for the algorithm .
The input for nth iteration is provided by the fifth and sixth columns for the
preceding iterations , where the solved nodes in the fifth column are then listed in
the ...
Now let us relate these columns directly to the outline given for the algorithm .
The input for nth iteration is provided by the fifth and sixth columns for the
preceding iterations , where the solved nodes in the fifth column are then listed in
the ...
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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