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 74
This corporation has 10 plants in various parts of the world . Each of these plants
produces the same 10 products and then sells them within its region . The
demand ( sales potential ) for each of these products from each plant is known for
each ...
This corporation has 10 plants in various parts of the world . Each of these plants
produces the same 10 products and then sells them within its region . The
demand ( sales potential ) for each of these products from each plant is known for
each ...
Page 103
One plant outside Detroit , MI , assembles two models from the family of midsized
and luxury cars . The first model , the Family Thrillseeker , is a four - door sedan
with vinyl seats , plastic interior , standard features , and excellent gas mileage .
One plant outside Detroit , MI , assembles two models from the family of midsized
and luxury cars . The first model , the Family Thrillseeker , is a four - door sedan
with vinyl seats , plastic interior , standard features , and excellent gas mileage .
Page 389
There are more products ( four ) than plants ( three ) , so one of the plants will
need to be assigned two products . Plant 3 has only enough excess capacity to
produce one product ( see Table 8.27 ) , so either Plant 1 or Plant 2 will take the
extra ...
There are more products ( four ) than plants ( three ) , so one of the plants will
need to be assigned two products . Plant 3 has only enough excess capacity to
produce one product ( see Table 8.27 ) , so either Plant 1 or Plant 2 will take the
extra ...
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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