| Summary: | 碩士 === 國立中央大學 === 土木工程學系碩士在職專班 === 97 === Abstract
In order to reduce production costs, the risk of human error and promote the efficiency of production and quality of construction, extensive use of machinery and manual made of operation technology matching has been used in most of the construction project operations of the construction works under the trend and promotion of the construction machinery automation in recent years. Due to the lack of systematic and scientific analysis of data, equipment and manpower deployment of the work of semi-automatic operation was done by the artificial experience results in the waste of machinery and human resources. It is worth to research that how to bring the science of operations management research methods into the best operator-machine work of resource scheduling.
The dispatch way of buried pipeline operation made in man-machine work is viewed as the domain of the research in the construction projects. We assigned to integer linear programming as a framework for the establishment of a mathematical optimization model. Accord to the characteristics of the construction, we decided some parameter values by restricted conditions. Then we used LINGO 7.0 software package to write a computer program. The program can solve the different dispatch way about equipment, manpower and minimum cost.
In order to confirm the reliability and usability of the pattern, the study takes an airport drill tubing project as model test. In comparison with the cost which obtained by artificial experience, the smallest cost which obtained by optimization model is better according to the data.
This research pattern may apply in builds domain of the project pipeline work designation and change its different limiting condition or parameter value to match the framework of the study so as to get the best solution.
The research demonstrates that it is feasible to establish the pattern of operation-machine work dispatch by using optimization theory and the achievement should be used in construction projects broadly.
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