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
Link To Document :
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