TIME-STEPPED, SIMULATION-BASED SCHEDULING SYSTEM FOR LARGE-SCALE INDUSTRIAL CONSTRUCTION PROJECTS

被引:0
作者
Hu, Di [1 ]
Mohamed, Yasser [1 ]
机构
[1] Univ Alberta, Dept Civil & Environm Engn, Hole Sch Construct Engn & Management, Markin CNRL Nat Resources Engn Facil, Edmonton, AB T6G 2W2, Canada
来源
2013 WINTER SIMULATION CONFERENCE (WSC) | 2013年
关键词
OPTIMIZATION; SPACE; MODEL;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Industrial construction projects have recently moved more towards tighter schedules and fast-tracked engineering and construction. This leads to overlap between work packages, increased occurrences of resource over-allocation and site congestion, which pose challenges to project planners in scheduling construction works and dynamically allocating resources considering the construction site conditions. Most previous research related to scheduling and resource allocation assumes that allocated resources remain consistent throughout the execution of work packages. This paper presents a workface planning system that allows for variable resource allocation and variable durations in execution of a work package, while holding logic relationships and space congestion constraints. A case study from a real industrial project is presented and results show that the proposed system reduces resource idle time as well as returns shorter project duration than traditional scheduling approaches.
引用
收藏
页码:3249 / 3256
页数:8
相关论文
共 17 条
[1]  
AbouRizk S, 2000, PROCEEDINGS OF THE 2000 WINTER SIMULATION CONFERENCE, VOLS 1 AND 2, P1907, DOI 10.1109/WSC.2000.899185
[2]   SIMULATION-MODEL TO FORECAST PROJECT COMPLETION-TIME [J].
AHUJA, HN ;
NANDAKUMAR, V .
JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT-ASCE, 1985, 111 (04) :325-342
[3]   Scheduling Resource-Constrained Projects with Ant Colony Optimization Artificial Agents [J].
Christodoulou, Symeon M. .
JOURNAL OF COMPUTING IN CIVIL ENGINEERING, 2010, 24 (01) :45-55
[4]  
Demeulemeester E., 2002, Project Scheduling: A Research Handbook
[5]  
Dozzi S.P., 1993, Productivity in Construction
[6]  
ECC, 2007, P 39 ECC C RED OUR I
[7]   Comparison among five evolutionary-based optimization algorithms [J].
Elbeltagi, E ;
Hegazy, T ;
Grierson, D .
ADVANCED ENGINEERING INFORMATICS, 2005, 19 (01) :43-53
[8]   Optimization of resource allocation and leveling using genetic algorithms [J].
Hegazy, T .
JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT-ASCE, 1999, 125 (03) :167-175
[9]  
Hu D., 2010, Construction Research Congress 2010, Banff, AB, Canada, ASCE, P369
[10]  
Karshenas S., 1990, J. Constr. Mgmt. and Economics, P135, DOI DOI 10.1080/01446199000000012