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Volumn , Issue , 2010, Pages 5254-5256

A balancing approach for mixed model assembly line based on GA&SA

Author keywords

Improved genetic algorithm (GA SA); Mixed model assembly line; Production sequencing system.componen; The balancing and sequencing

Indexed keywords

ASSEMBLY LINE; ASSEMBLY PROCESS; ASSEMBLY TIME; CYCLE TIME; DESIGN SOLUTIONS; IMPROVED GENETIC ALGORITHMS; KEY PROBLEMS; LINE BALANCING; LINE DESIGN; LONG TERM; MINIMUM COST; MIXED MODELS; MIXED-MODEL ASSEMBLY LINES; MIXED-MODEL U-LINE; SEQUENCING METHOD; SIMULATION ANNEALING ALGORITHM; SOLUTION METHODOLOGY; THE BALANCING AND SEQUENCING;

EID: 77956083158     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MACE.2010.5536388     Document Type: Conference Paper
Times cited : (1)

References (5)
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    • Khoshalhan, F.1    Zegordi, S.H.2
  • 2
    • 0037222461 scopus 로고    scopus 로고
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    • Pi, Xing-Zhong.Fan, Xiu-Min.Yan, Jun-Qi. Application of genetic algorithm based on task sequences to assembly line balancing[J]. Mechanical Science and Technology, 2003,22(1):35-40.
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  • 3
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  • 4
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  • 5
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    • A new heuristic method for mixed model assembly line balancing problem
    • DOI 10.1016/S0360-8352(02)00190-0, PII S0360835202001900
    • Jin, Mingzhou, David WU. S. A new heuristic method for mixed model assembly line balancing problem [J]. Computers and Industrial Engineering, 2003, 44(1): 159-169. (Pubitemid 35282242)
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    • Jin, M.1    Wu, S.D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.