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http://dx.doi.org/10.5781/KWJS.2009.27.2.057

Optimization of Robot Welding Process of Subassembly Using Genetic Algorithm in the Shipbuilding  

Park, Ju-Yong (Division of Naval Architecture and Ocean Systems Engineering Korea Maritime University)
Seo, Jeong-Jin (Division of Naval Architecture and Ocean Systems Engineering Korea Maritime University)
Kang, Hyun-Jin (Division of Naval Architecture and Ocean Systems Engineering Korea Maritime University)
Publication Information
Journal of Welding and Joining / v.27, no.2, 2009 , pp. 57-62 More about this Journal
Abstract
This research was carried out to improve the productivity in the subassembly process of shipbuilding through optimal work planning for the shortest work time. The work time consist of welding time, moving time of gantry, teaching time of robot and robot motion time. The shortest work time is accomplished by even distribution of work and the shortest welding sequence. Even distribution of work was done by appling the simple algorithm. The shortest work sequence was determined by using GA. The optimal work planning decreased the total work time of the subassembly process by 4.1%. The result showed the effectiveness of the suggested simple algorithm for even distribution of work and GA for the shortest welding sequence.
Keywords
Shipbuilding; Assembly; Genetic algorithm; Even distribution of work; Shortest welding sequence;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
1 H.J.Kang, J.Y.Park and H.C.Park: Work Planning Using Genetic Algorithm and 3-D Simulation at a Subassembly Line of Shipyard, Proc. of the 2004 Spring Annual Meeting of KWS, 18-20, 2004 (in Korean)
2 S.G. Kang, S.Kwon, H.J.Choi: Path Optimization Using an Genetic Algorithm for Robots in Off-Line Programming, Journal of the Society of precision Engineering, 19-10 (2002), 66-76 (in Korean)   과학기술학회마을   ScienceOn
3 J.Grefenstette, R.Gopal, B.Rosmaita, and D. Gicht, "Genetic Algorithms for the Traveling Salesman Problem", Proc. the 1st Inter. Conf. on GAs and Their Applications, 160-168, 1985
4 T.W.Kang: A Genetic Algorithm with Local Competing, Journal of the Korea Institute of Information Scientists and Engineers, 29-6, 396-06, 2002 (in Korean)   과학기술학회마을   ScienceOn
5 L.G.Kang, H.G.Im, C.Y.Jeong: New Population initialization and sequential transformation methods of Genetic Algorithms for solving optimal TSP problem, Journal of the Korea Institute of Information and Communication Sciences, 10-3, 622-627, 2006 (in Korean)   과학기술학회마을   ScienceOn
6 Y.K.Han, C.D.Jang: A Study on the Cutting Path Optimization using Improved Genetic Algorithm, Journal of the Society of Naval Architects of KOREA, 37-3 (2000), 90-98 (in Korean)   과학기술학회마을   ScienceOn
7 J.O.Kim, J.S.Sin, S.K.Kim, M.H.Park and S.H.Kim: Design of a Welding Robot System for the Sub-Assembly Line in Ship Yard, Journal of KWS, 14-1, 30-37, 1996 (in Korean)
8 K.Y.Bae and J.H.Lee: A Study on Development of Automatic Weld-Seam Tracking System Using Vision Sensor, Journal of KWS, 14-4 (1996), 79-88 (in Korean)   과학기술학회마을   ScienceOn
9 J.H.Kim, D.D.Yoo, J.O.Kim, J.S.Sin and S.K.Kim: Implementation of Automatic Teaching System for Subassembly Process in Shipbuilding, Journal of KWS, 14-2 (1996), 96-105 (in Korean)   과학기술학회마을   ScienceOn