کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5469474 | 1399001 | 2017 | 11 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Modified artificial bee colony algorithm for scheduling optimization for printed circuit board production
ترجمه فارسی عنوان
الگوریتم کلونی زنبور عسل مصنوعی برای بهینه سازی برنامه ریزی برای تولید مدار چاپی مدار
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
کنترل و سیستم های مهندسی
چکیده انگلیسی
The proposed scheduling optimization algorithm comprises three phases. First, the proportional distribution method is applied to optimize ANC assignment. Second, considering the component height as well as the pick, simultaneous pickup, and component shape restrictions, the MABCA generates the nozzle assignment. Third, under the constraints of place restriction and the predetermined nozzle assignment, the MABCA and the 2-opt algorithm generates the place sequence with the minimal PCB assembly time. Finally, the proposed algorithm is experimentally demonstrated. The average number of pickups in the solutions generated by the proposed method, the onsite engineer, and two related studies are 159.3, 167.2, 208.6, and 210.6, respectively. The proposed approach yields the least PCB assembly time. The average total assembly time (Ttotal) improved between on-site engineer and the proposed MABCA is 4.08%.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Manufacturing Systems - Volume 44, Part 1, July 2017, Pages 1-11
Journal: Journal of Manufacturing Systems - Volume 44, Part 1, July 2017, Pages 1-11
نویسندگان
Cheng-Jian Lin, Mei-Ling Huang,