• DocumentCode
    2744604
  • Title

    Selecting Multi-Resource Suppliers Based on Project Scheduling in Construction Project

  • Author

    Liu, Zhenyuan ; Wang, Hongwei ; Qi, Chao

  • Author_Institution
    Inst. of Syst. Eng., Huazhong Univ. of Sci. & Technol., Wuhan
  • Volume
    2
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    8784
  • Lastpage
    8788
  • Abstract
    The suppliers of multiple renewable resources are the most immediate partners of contractor in the construction supply chain and their capacities will form constraints to project scheduling. Thus, when selecting these partners, the resource-constrained project scheduling problems (RCPSPs) must be taken into account. A mathematical model for selecting these suppliers in construction projects was proposed and the principle of reducing the solution space was discussed. A genetic algorithm was designed to solve the model, wherein the chromosomes were set to represent the partner selections. A parallel scheduling schema was used in the decoding procedure, and the maximal relative cost of transitive predecessors among the activities was considered as its prior rule. In the end, a case study was constructed to evaluate the efficiency of the proposed algorithm. The result showed that the algorithm was effective
  • Keywords
    construction industry; genetic algorithms; project management; scheduling; supply chains; construction project; construction supply chain; contractor; genetic algorithm; mathematical model; maximal relative cost; multiresource supplier selection; parallel scheduling schema; partner selection; renewable resources; resource-constrained project scheduling problems; Aerospace engineering; Algorithm design and analysis; Biological cells; Chaos; Costs; Decoding; Genetic algorithms; Mathematical model; Supply chains; Systems engineering and theory; Genetic Algorithm; Parallel Scheduling Schema; Project Scheduling; Suppliers Selection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
  • Conference_Location
    Dalian
  • Print_ISBN
    1-4244-0332-4
  • Type

    conf

  • DOI
    10.1109/WCICA.2006.1713697
  • Filename
    1713697