Searching for an Optimal Construction Schedule with Compatible Financing Plans Using Multiobjective Optimization： Taking Taiwanese Construction Projects for Example

• Main Authors: Yu-Yi Chen, 陳佑怡
• Other Authors: Po-Han Chen
• Format: Others
• Language: zh-TW
• Published: 2014
• Online Access: http://ndltd.ncl.edu.tw/handle/4z64k5

碩士 === 國立臺灣大學 === 土木工程學研究所 === 102 === For construction companies in Taiwan, low own funds and short-term financing are two of the financial characteristics, and financing from banks is a commonly-used way to obtain working capital during construction stage. To accurately estimate project costs and conduct appropriate project financing plans are considered two important topics in the beginning stage of project’s life cycle. In this research, case study of Taiwanese construction project is analyzed by FPGA（Fast Pareto Genetic Algorithm）, which combining construction financing and working capital into calculation to define an optimal construction schedule based on four objectives: Minimized total duration, minimized financing cost, minimized own funds, and maximized total profit. Verification is done by applying Enumeration method, Particle Swarm Optimization（PSO）, and Simulated Annealing Arithmetic（SAA） to verify the credibility and reliability, and practicality of this proposed system. The results show that the optimal solution is equivalently to the top 20% located in the Pareto solutions, and FPGA can reduce nearly 99.99% of the total time spent. The system proposed in this study can assist construction companies in finding an optimal construction schedule with compatible financing plans and cash flows in the early project life cycle, and also facilitating the operation of construction financial plan and increasing efficiency in project management.