| Summary: | 碩士 === 淡江大學 === 土木工程學系碩士班 === 95 === Since construction industry has been under recession in recent years, construction companies treat cost control as an important issue. It is expected that enhancing construction technique can reduce the cost.
The steel bar to be cut is selected from steel bar raw material of fixed sizes by optimization. To precisely plan which steel bar raw material should be cut to produce specific steel bars, the cutting plan of raw material was developed. The objective of this research is to minimize total cost of steel bar, including return value of cut but not used steel bar, resell value of surplus steel bar and reduced cost by cut frequency reduction. Total steel bar cost minimization will contribute to steel bar construction cost. In the long-term, a sound steel bar cut plan can avoid tremendous dispensable cost.
This research proposed a steel bar cutting model, which includes a new Particle Swarm Optimization (PSO). The PSO utilizes the concept of swarm intelligence to obtain the optimal solution efficiently. The model was applied to real cases. The results verified that the proposed model can produce a solution of a high quality cut plan correctly and efficiently. The model is computerized to save planning manpower, enhance construction quality and satisfy job site construction requirements.
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