| Summary: | 碩士 === 國立中興大學 === 土木工程學系所 === 98 === In these years, on the related researches of construction planning optimization analysis by double targets of the cost and duration, some method is Exhaustive Method, or Linear Programming to deal with smaller amount of activity description and activity option. In the meanwhile, larger amount of activity description and option applies Mathematical Method on its Time Cost Trade Problem. Using Mathematical Method for larger amount of activity description is out of efficiency, because of huge numbers of basic feasible solutions. Therefore, one shall use other method, Evolution Strategy, to find a near-optimal solution, for example, using Genetic Algorithms, or Particle Swarm Optimization.
When using Linear Programming to assess suspended time cost trade off problem for a unit, its best solution is not on the corner points usually. For example, to have its solution to be half of a digger, or half of one truck is unreasonable in practical use. If directly to get the integer value, the solution shall fall out of feasible region. Thus, this solution becomes unfeasible answer, or a no good solution within feasible region. In practical construction experience, the amount of needed material belongs to so-called divisibility descision variables. Nevertheless, the amount of man and machine is indivisibility descision variables. The model of my thesis is to apply Integer Programming on examining practical construction planning optimization analysis by double targets of the cost and duration.
Herewith, to examining practical construction planning on my thesis, the construction duration is 570 days. Its total cost is $140,064,686. After testing, duration shorten to be 451 days. Its total cost becomes $138,906,064. The compared resolve for construction duration decreased 119 days. The total cost saves $1,158,622. In conclusion, the profit is highly raised in practical construction management. Thereby, this model of Construction Planning Optimization Analysis by Double Targets of the Cost and Duration reserve highly use in practical construction planning.
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