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

被引：0
作者：
Du, Xuemei [1 ]
Tang, Xing [1 ]
Gao, Hui [1 ]
Zhou, Zongqiu [1 ]
机构：
[1] Tongji Univ, Sch Econ & Management, Shanghai 200092, Peoples R China
来源：
PROCEEDINGS OF THE 2015 4TH INTERNATIONAL CONFERENCE ON SENSORS, MEASUREMENT AND INTELLIGENT MATERIALS | 2016年 / 43卷
关键词：
Cost of quality; Multi-objective optimization; Quality quantification; Genetic Algorithm;
D O I：
暂无
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
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.
引用
收藏
页码：1204 / 1208
页数：5
相关论文
共 9 条
  • [1] A hybrid model of fuzzy goal programming and grey numbers in continuous project time, cost, and quality tradeoff
    Hajiagha, Seyed Hossein Razavi
    Mahdiraji, Hannan Amoozad
    Hashemi, Shide Sadat
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2014, 71 (1-4) : 117 - 126
  • [2] Project performance control in reconstruction projects
    McKim, R
    Hegazy, T
    Attalla, M
    [J]. JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT-ASCE, 2000, 126 (02): : 137 - 141
  • [3] Pan F.S, 2015, 2010 INT C E BUS E G
  • [4] Perez E., 2015, SOFT COMPUTING UNPUB
  • [5] Wang S.X., 2001, J CHONGQING JIAOTONG, V20, P39
  • [6] Wang Y.K., 2005, J LIAONING TU, V7, P639
  • [7] Yi C, 2015, J ENG MANAGEMENT, V29, P129
  • [8] You J.X., 2005, APPL QUANTITATIVE AN
  • [9] Zang Q., 2006, ENERGY CONSERVATION, V9, P17
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