کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10136125 | 1645679 | 2019 | 25 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Metaheuristic algorithms for balancing robotic assembly lines with sequence-dependent robot setup times
ترجمه فارسی عنوان
الگوریتم های فراشناختی برای تعادل خطوط مونتاژ رباتیک با زمان ربات وابسته به دنباله
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کلمات کلیدی
تعادل خط مونتاژ، خط مونتاژ رباتیک، زمان نصب وابسته به دنباله، متهوریستی،
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مکانیک محاسباتی
چکیده انگلیسی
Industries are incorporating robots into assembly lines due to their greater flexibility and reduced costs. Most of the reported studies did not consider scheduling of tasks or the sequence-dependent setup times in an assembly line, which cannot be neglected in a real-world scenario. This paper presents a study on robotic assembly line balancing, with the aim of minimizing cycle time by considering sequence-dependent setup times. A mathematical model for the problem is formulated and CPLEX solver is utilized to solve small-sized problems. A recently developed metaheuristic Migrating Birds Optimization (MBO) algorithm and set of metaheuristics have been implemented to solve the problem. Three different scenarios are tested (with no setup time, and low and high setup times). The comparative experimental study demonstrates that the performance of the MBO algorithm is superior for the tested datasets. The outcomes of this study can help production managers improve their production system in order to perform the assembly tasks with high levels of efficiency and quality.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Mathematical Modelling - Volume 65, January 2019, Pages 256-270
Journal: Applied Mathematical Modelling - Volume 65, January 2019, Pages 256-270
نویسندگان
Mukund Nilakantan Janardhanan, Zixiang Li, Grzegorz Bocewicz, Zbigniew Banaszak, Peter Nielsen,