| Summary: | 碩士 === 淡江大學 === 土木工程學系碩士班 === 96 === When a general construction company subcontracts a construction project, the labor assignment in the construction site usually can only be done through personal experience; however, subjective assignment through experience could usually lead to over-labor which consumes unnecessary cost or insufficient labor which leads to project lag; the latter might affect the project progress and the project acceptance inspection and payment application progress which in turn brings a load to the financial arrangement and management. Therefore, in this study, it is hoped that the personnel’s work hour can be allocated in time and in amount so as to control human resource effectively and to reduce labor cost.
Although several optimization algorithms have been applied in labor assignment, yet most of the optimization assignments are done in single project, and there are very few regarding cross-project optimization. In this study, based on construction projects, we take multiple-projects scheduling point of view to investigate practical issues, such as over-time work, mission transfer and project transfer. Since the complexity of multiple projects modeling is much higher than that of single project, in order to improve the computational efficiency, genetic algorithm is adopted as the solution-finding tool. The model proposed in this study has been applied in multiple-projects cases. The application process and result is introduced in this thesis
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