Integrated procedure of balancing and sequencing for mixed-model assembly lines: a multi-objective evolutionary approach

DOI10.1080/00207540903289755zbMath1197.90323OpenAlexW1998752621MaRDI QIDQ3163141

Hiroshi Katayama, Reakook Hwang

Publication date: 25 October 2010

Published in: International Journal of Production Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207540903289755

zbMATH Keywords

job sequencinggenetic algorithmmixed-model assembly linesline balancingpriority-based multi-chromosome

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29) Deterministic scheduling theory in operations research (90B35) Production models (90B30)

Related Items (1)

Balancing mixed-model assembly lines using adjacent cross-training in a demand variation environment

Cites Work

• State-of-the-art exact and heuristic solution procedures for simple assembly line balancing
• An endosymbiotic evolutionary algorithm for the integration of balancing and sequencing in mixed-model U-lines
• U-shaped assembly line balancing problem with genetic algorithm
• Balancing Mixed Model Lines with In-Process Inventories
• An analytic framework for sequencing mixed model assembly lines
• An integrated management procedure of multi-item mixed-line production system its hierarchical structure and performance evaluation
• Balancing and sequencing manual mixed-model assembly lines
• The U-line Line Balancing Problem
• Mixed Model Line Balancing with Smoothed Station Assignments

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