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International Journal of Civil Engineering

, Volume 15, Issue 2, pp 333–353 | Cite as

A Decision Making System for Construction Temporary Facilities Layout Planning in Large-Scale Construction Projects

  • Xiaoling Song
  • Jiuping XuEmail author
  • Charles Shen
  • Feniosky Peña-Mora
  • Ziqiang Zeng
Research Paper

Abstract

The construction temporary facilities layout planning (CTFLP) requires an identification of necessary construction temporary facilities (CTFs), candidate locations and a layout of CTFs at candidate locations. This study proposes a decision making system to decide on an appropriate CTFLP in large-scale construction projects to improve the operation safety and efficiency. The system is composed of the input, CTF and candidate location identification, layout optimization, evaluation and selection, as well as output stages. The fuzzy logic is employed to address uncertain factors in real-world situations. In the input stage, the knowledge bases for identifying CTFs and candidate locations are determined. Then, CTFs and candidate locations are identified in the following two stages. Furthermore, a multiobjective mathematical optimization model with fuzzy parameters is established and fuzzy simulation-based Genetic Algorithm is proposed to obtain alternative CTFLPs. The intuitionistic fuzzy TOPSIS method is used to evaluate and select the most satisfactory CTFLP in the last stage. Finally, a large-scale hydropower dam project is used as a practical application to demonstrate the effectiveness and efficacy of the proposed system.

Keywords

CTFLP CTFs Decision making system CTF identification Location identification Fuzzy logic 

Notes

Acknowledgments

This research was supported by the Key Program of National Natural Science Foundation of China (Grant No. 70831005), “985” Program of Sichuan University (Innovative Research Base for Economic Development and Management), the Research Foundation of Ministry of Education for the Doctoral Program of Higher Education of China (Grant No. 20130181110063), and the Program of China Scholarships Council (Grant No. 201506240179), the Youth Program of National Natural Science Foundation of China (Grant No. 71501137), the General Program of China Postdoctoral Science Foundation (Grant No. 2015M572480), the International Postdoctoral Exchange Fellowship Program of China Postdoctoral Council (Grant No. 20150028), and Sichuan University (Grant No. skqy201647).

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Copyright information

© Iran University of Science and Technology 2016

Authors and Affiliations

  • Xiaoling Song
    • 1
    • 2
  • Jiuping Xu
    • 1
    • 3
    Email author
  • Charles Shen
    • 2
  • Feniosky Peña-Mora
    • 2
  • Ziqiang Zeng
    • 1
    • 4
  1. 1.Uncertainty Decision-Making LaboratorySichuan UniversityChengduPeople’s Republic of China
  2. 2.Advanced ConsTruction and InfOrmation techNology (ACTION) Laboratory, Civil Engineering and Engineering MechanicsColumbia UniversityNew YorkUSA
  3. 3.State Key Laboratory of Hydraulics and Mountain River EngineeringSichuan UniversityChengduPeople’s Republic of China
  4. 4.Department of Civil and Environmental EngineeringUniversity of WashingtonSeattleUSA

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