Applying Object Oriented Method to Compute Benefit of Path Planning in Repetitive Work: The Case of Waffle Slab Construction

• Main Authors: Yi-kai Chiang, 江翊楷
• Other Authors: 張陸滿
• Format: Others
• Language: zh-TW
• Published: 2010
• Online Access: http://ndltd.ncl.edu.tw/handle/91392805788399913389

碩士 === 國立臺灣大學 === 土木工程學研究所 === 98 === High-tech facilities have the following characteristics: short duration, complex interface, high investment, and numerous design changes. Cleanroom is the most important component of high-tech facilities. It not only connects construction and electrical engineering works, but has the highest demand for environmental control. Compared to the overall project, waffle slab works affect the progress of cleanroom-building the most, but it is a work with labor-intensive, working path unknown, work rate cannot be clearly quantified, and the work of the project is relatively difficult to control. Generally, path planning in construction projects is considered enough when it reached basic need, rarely use to improve efficiency because increase in expenditure and management costs. This study will compute the benefit of using path planning in repetitive work in the case of FRP(Fiberglass Reinforced Plastics) mold assembly and transportation. Through literature review, we know about the high-tech factory facilities construction characteristic, then analysis status and needs. Next, investigate workflow, need of working path and benefit of makeshift path by interviewing engineers; survey the accurate duration of each work and set functions of time and distance. A model is established by OOP(Object-oriented programming), estimate the total duration by this model. Plan the working path between temporary placement and each work unit, and then compute the summation of each work by Above-mentioned data, finally compare the result with before The result shows that makeshift path can help reduce total duration. Not only increase the efficiency but enhance safety. It also makes working path clearly and makes schedule be easy to control. Even in different field sizes, different distance and different functions, we can change parameters and get the most appropriate solution in that situation; it brings us a fast and convenient way to solve problems.