Multi-period Dynamic Sequential Optimization Model for Prefabricated Affordable Housing Production Scale

摘要

With the rapid development of living standard, the demand for housing is rising. Prefabricated affordable housing (PAH) is an important way to solve the problem. In this paper, the factors of sequential PAH demand and the future development trend in Shenyang is analyzed by regression equation. By mathematical programming theory, multi-period dynamic sequential optimization model for PAH production scale is established. The minimum difference between demand and supply is the objective function. It gives full consideration of the biggest supply capacity of PAH, the total investment in fixed assets restrictions, government-mandated minimum land area which must be used for PAH. For government departments, the model can provide quantitative decision-making optimization method for multi-period dynamic sequential PAH production scale.