Research Journal of Applied Sciences

Year: 2007
Volume: 2
Issue: 7
Page No. 823 - 827

Overcoming Difficulties in Weekly Work Planning Using Computational Algorithms

Authors : Chien-Ho Ko and Shu-Fan Wang

Abstract: 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.

How to cite this article:

Chien-Ho Ko and Shu-Fan Wang , 2007. Overcoming Difficulties in Weekly Work Planning Using Computational Algorithms . Research Journal of Applied Sciences, 2: 823-827.

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