Multi-period Dynamic Sequential Optimization Model for Prefabricated Affordable Housing Production Scale
- https://doi.org/10.2991/emeeit-15.2015.76How to use a DOI?
- Prefabricated affordable housing (PAH); Production scale; Mathematical programming
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.
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Chunguang Chang AU - Dan Liu AU - Feifei Wu PY - 2015/11 DA - 2015/11 TI - Multi-period Dynamic Sequential Optimization Model for Prefabricated Affordable Housing Production Scale BT - Proceedings of the 2015 International conference on Engineering Management, Engineering Education and Information Technology PB - Atlantis Press SP - 393 EP - 397 SN - 2352-538X UR - https://doi.org/10.2991/emeeit-15.2015.76 DO - https://doi.org/10.2991/emeeit-15.2015.76 ID - Chang2015/11 ER -