| Summary: | 碩士 === 朝陽科技大學 === 營建工程系碩士班 === 90 === ABSTRACT
Simulation is usually used in planning and scheduling of highly repetitive activities in a construction project. Traditional, the uncertainty of tasks duration is commonly modeled by probability distribution function. In addition, many repetitive activity operations exhibit learning effective. Cast-in-place pier operations are highly repetitive and now are frequently performed in many transportation infrastructure construction projects in Taiwan. Therefore, this research aims at analyzing those operations. In the analysis through simulation, a real project is tested and both probability distributions and learning-curve models are adopted to represent the uncertainty of task duration, to see the difference of influence on system’s production rate. From the simulation verification, this research concludes that due to the complexity of geological condition and insufficient iterations for performing Cast-in-place pier operations, probability functions can more accurately reflect the uncertainty of task duration than learning-curve models.
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