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 184
Note that it is possible to produce a silk camisole without producing a silk blouse
and a cotton miniskirt without producing a cotton sweater . The demand forecasts
indicate that some items have limited demand . Specifically , because the ...
Note that it is possible to produce a silk camisole without producing a silk blouse
and a cotton miniskirt without producing a cotton sweater . The demand forecasts
indicate that some items have limited demand . Specifically , because the ...
Page 933
The forecasting job you did for us two months ago really allowed us to
understand the weekly demand for the center , but we still have not been able to
get a grasp on the staffing problem . We used both historical data and your
forecasts to ...
The forecasting job you did for us two months ago really allowed us to
understand the weekly demand for the center , but we still have not been able to
get a grasp on the staffing problem . We used both historical data and your
forecasts to ...
Page 965
ority shipment times the unsatisfied demand whenever a shortage occurs . If our
wholesale distributor could be forced to meet the unsatisfied demand by
purchasing bicycles from the manufacturer for $ 35 each plus an air freight
charge of ...
ority shipment times the unsatisfied demand whenever a shortage occurs . If our
wholesale distributor could be forced to meet the unsatisfied demand by
purchasing bicycles from the manufacturer for $ 35 each plus an air freight
charge of ...
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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