TY  - CONF
TI  - Arranging Weekly Work Plans in Concrete Element Prefabrication Using Genetic Algorithms
C1  - Manchester, UK
C3  - 16th Annual Conference of the International Group for Lean Construction
SP  - 849
EP  - 856
PY  - 2008
AU  - Ko, Chien-Ho
AU  - Wang, Shu-Fan
AD  - Assistant Professor, Department of Civil Engineering, National Pingtung University of Science and Technology, 1, Shuefu Rd., Neipu, Pingtung 912, Taiwan, e-mail: fpecount@yahoo.com.tw, phone: +886-8-7703202, fax: +886-8-7740122; Research Director, Taiwan Lean Construction Institute; Executive Director, Lean Construction Institute Asia
AD  - Assistant Researcher, Taiwan Lean Construction Institute
ED  - Tzortzopoulos, Patricia 
ED  - Kagioglou, Mike 
AB  - Applying lean production concepts to precast fabrication have been proven promising. However, foreman encounters difficulties in arranging weekly work plans. The objective of this research is to overcome the difficulty when arranging weekly work plans in concrete element prefabrication. Current practices in arranging weekly work plans are fairly basic, and depending heavily on experience, thereby resulting in inefficient resource utilization and even late delivery. To enhance weekly work planning, this research develops a flowshop sequencing model. In the model, production constraints and buffer sizes between stations are considered. A multi-objective genetic algorithm is then used to search for optimum solutions with minimum makespan and tardiness penalties. The performance of the proposed method is validated by using two case studies. The experimental results show that the research work can be used to enhance weekly work planning especially for numerous combinations of sequences.
KW  - precast fabrication
KW  - weekly work plan
KW  - genetic algorithms
KW  - flowshop sequencing model
KW  - buffer
PB  - 
T2  - 16th Annual Conference of the International Group for Lean Construction
DA  - 2008/07/16
CY  - Manchester, UK
L1  - http://iglc.net/Papers/Details/582/pdf
L2  - http://iglc.net/Papers/Details/582
N1  - Export Date: 25 April 2024
DB  - IGLC.net
DP  - IGLC
LA  - English
ER  -