| Summary: | 碩士 === 國立高雄第一科技大學 === 營建工程所 === 91 === ABSTRACT
Recently, the situation of construction has changed a lot in Taiwan. According to the perspectives of the construction industry, increasing the industry effectiveness and the management techniques from a general style of labors orientation to a high standard productivity field are two important goals for construction industry management.
Currently, many construction sites still utilize the general formwork to conduct the constructions. However, there are several disadvantages for the general formwork, such as the influenced factors of productivity, complex randomizations of processes, and ineffective outcomes. Therefore, Thomas (1999) pointed out a concept of baseline productivity in order to deal with the problems of General Formwork productivity and to increase the effectiveness of the overall productivity in constructions.
The purpose of this proposed study was to examine the effects of eight factors on productivity forecast. After interviewing eight construction sites, this study divided 343 data sets into two groups randomly. One group was simulated group (N = 172), the other group was forecasting group (N = 171). Furthermore, this study utilized a nonlinear network method of the Neural Network and the back propagation network method to simulate and predict the productivity and baseline productivity based on 5 forecasting models.
Based on the sections of the introduction, the review of literature, the forecasting model building, the database of general form, and the calculations of model predication, this proposed study suggested that the forecasting values of the accumulative general form productivity were 1.17~1.34 (HR/M^2), and the forecasting values of the general form baseline productivity were 0.44~0.56 (MH/M^2).
In summary, this present study will help to direct those future efforts in the area of construction management as well as the practical developments of the network database and the construction management information system in the productivity management field.
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