کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5082854 | 1477649 | 2006 | 17 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A Genetic Algorithm tool for optimising cellular or functional layouts in the capital goods industry
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مهندسی صنعتی و تولید
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: A Genetic Algorithm tool for optimising cellular or functional layouts in the capital goods industry A Genetic Algorithm tool for optimising cellular or functional layouts in the capital goods industry](/preview/png/5082854.png)
چکیده انگلیسی
Genetic Algorithm programs include a number of parameters including the probabilities of crossover and mutation, the population size and the number of generations. A full factorial experiment was performed to identify the best configuration. The results were compared with the Company's layout and the best layout that could be generated randomly. When the layout was considered as brown-field problem there was a reduction of total rectilinear distance travelled of 25% compared to the Company's layout. The number of generations was the only statistically significant factor. When the layout was treated as a green-field problem the total rectilinear distance travelled was reduced by 70% and the population size, the number of generations and the probability of crossover were statistically significant.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: International Journal of Production Economics - Volume 104, Issue 2, December 2006, Pages 598-614
Journal: International Journal of Production Economics - Volume 104, Issue 2, December 2006, Pages 598-614
نویسندگان
Christian Hicks,