Product Assembly Sequence Optimization Based on Genetic Algorithm
Journal Title: International Journal on Computer Science and Engineering - Year 2010, Vol 2, Issue 9
Abstract
Genetic algorithm (GA) is a search technique used in computing to find approximate solution to optimization and search problem based on the theory of natural selection. This study investigates the application of GA in optimizing product assembly sequences. The objective is to minimize the time aken for the parts to be assembled into a unit product. A single objective GA is used to obtain the optimal assembly sequence, exhibiting the minimum time taken. The assembly experiment s done using a case study product and results were compared ith manual assembly sequences using the ‘Design for ssembly’ (DFA) method. The results indicate that GA can be sed to obtain a near optimal solution for minimizing the rocess time in sequence assembly. This shows that GA can be pplied as a tool for assembly sequence planning that can be implemented at the design process to obtain faster result than he traditional methods.
Authors and Affiliations
Azman Yasin , Nurnasran Puteh , Ruslizam Daud , Mazni Omar , Sharifah Lailee Syed-Abdullah
Keywords
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