TY  - JOUR
T1  - Overcoming Difficulties in Weekly Work Planning Using Computational Algorithms
AU - , Chien-Ho Ko AU - , Shu-Fan Wang 
JO  - Research Journal of Applied Sciences
VL  - 2
IS  - 7
SP  - 823
EP  - 827
PY  - 2007
DA  - 2001/08/19
SN  - 1815-932x
DO  - rjasci.2007.823.827
UR  - https://makhillpublications.co/view-article.php?doi=rjasci.2007.823.827
KW  - Precast fabrication
KW  -weekly work plan
KW  -genetic algorithms
KW  -flowshop sequences
KW  -model
KW  -buffer
AB  - Application of lean production concepts to precast concrete fabrication has been proven promising. However, difficulties encounter while applying lean concepts to precast fabrication. The objective of the study is to overcome the difficulty when arranging weekly work plans. Current practices of making weekly work plans are fairly basic and depend greatly on experience, resulting inefficient resource utilization and even late delivery. To enhance weekly work planning, this research develops a flowshop sequencing model. In the model, constraints encountered in practice and buffer sizes between stations are taken into account. A multi-objective genetic algorithm is then used to search for optimum solutions with minimum makespan and minimum tardiness penalty. The performance of proposed method is validated using two case studies. The research work can be used to enhance weekly work planning especially for numerous combinations of sequences.
ER  -