| 摘要(英) |
The land resources in the metropolitan area of Taiwan are quite limited. If the development of urban land is not properly used, it will lead to waste of land resources. In the past, decision makers used the rule of thumb or judgement based on the development experience of neighboring land to make decisions on building development plans, but they may often be biased and lead to wrong decisions, resulting in low land development intensity. Therefore, the construction and development company should use scientific and objective methods to plan the best decision-making plan in a fast and effective manner within compliance with relevant laws and regulations, and at the same time achieve the company′s maximum profit target.
In the past, construction and development companies used empirical methods to determine the development location and development methods in the selection of land construction and development, and lacked a scientific quantitative evaluation model. Such decision-making methods are adequate for small-scale development. When the development scale is enlarged and the project is selected For a long time, without the aid of efficient decision-making tools, the development base and building type decided by the decision-maker may not achieve the maximum benefit; this research is based on the perspective of the builder, targeting the development location, development form and different prices Using linear programming optimization model to find the best development location and development form in each area, and the cost and other conditions, it can be used as a reference for decision-making by the construction and development company.
In this study, there are 20 areas designed in this study, each with 15 development bases, and each development base can choose three different building development types according to the price. In addition, sensitivity analysis is performed based on the sensitivity change trend of each parameter, so as to understand the impact of different sales rates and different selling prices on the overall objective function. In terms of solving method, this research uses EXCEL software to organize and present the land volume, land cost, total floor area, project cost and sales price of each development base, and enter the LINGO 17.0 package software to solve the problem. The result of optimizing interests. |
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