The balanced optimization of the project quality schedule and cost based on Genetic Algorithm
- https://doi.org/10.2991/icsmim-15.2016.222How to use a DOI?
- Cost of quality; Multi-objective optimization; Quality quantification; Genetic Algorithm
The multi-objective management in engineering projects is to reduce cost, improve quality and shorten the cycle. The optimization of these three objects is very significant to improve the comprehensive benefit of projects. In this paper, project quality is quantified by the cost of quality (COQ), and a mathematic model of quality-schedule-cost multi-objective balanced optimization is proposed, which can be solved by Genetic Algorithm (GA). Considering different construction requirements in engineering practice, three objectives are given weights to make decision-making more coherent and responsive in project management. Finally, applicability and efficiency of this method are verified by an example study.
- © 2016, 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 - Xuemei Du AU - Xing Tang AU - Hui Gao AU - Zongqiu Zhou PY - 2016/01 DA - 2016/01 TI - The balanced optimization of the project quality schedule and cost based on Genetic Algorithm BT - Proceedings of the 2015 4th International Conference on Sensors, Measurement and Intelligent Materials PB - Atlantis Press SP - 1204 EP - 1208 SN - 2352-538X UR - https://doi.org/10.2991/icsmim-15.2016.222 DO - https://doi.org/10.2991/icsmim-15.2016.222 ID - Du2016/01 ER -