The balanced optimization of the project quality schedule and cost based on Genetic Algorithm

DOI

10.2991/icsmim-15.2016.222How to use a DOI?

Keywords

Cost of quality; Multi-objective optimization; Quality quantification; Genetic Algorithm

Abstract

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.

Copyright

© 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/).

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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  - 10.2991/icsmim-15.2016.222
ID  - Du2016/01
ER  -