An iterative clustering approach based on material flow requirements for cellular designs

DOI10.1007/S10846-010-9428-5zbMath1203.68278OpenAlexW2054757523MaRDI QIDQ614965

Hong Long Chen, Nai-Chieh Wei, Olugbenga O. Mejabi

Publication date: 4 January 2011

Published in: Journal of Intelligent \& Robotic Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10846-010-9428-5

zbMATH Keywords

ClusteringGroup technologyAutomated guided vehicleCellular manufacture system

Mathematics Subject Classification ID

Artificial intelligence for robotics (68T40)

Cites Work

• Simulated annealing procedures for forming machine cells in group technology
• Future paths for integer programming and links to artificial intelligence
• Integrated design of cellular manufacturing systems in the presence of alternative process plans
• An ideal seed non-hierarchical clustering algorithm for cellular manufacturing
• A genetic algorithm-based approach to cell composition and layout design problems
• Manufacturing cells design with alternative process plans and/or replicate machines
• CASE: A clustering algorithm for cell formation with sequence data
• Formation of machine cells and part families: A modified p-median model and a comparative study
• Manufacturing cell formation under random product demand
• Configuring cellular manufacturing systems: a quadratic integer programming formulation and a simple interchange heuristic
• Optimizing the multiple constrained resources product mix problem using genetic algorithms
• Problem Decomposition and Data Reorganization by a Clustering Technique
• Tabu search approach based on a similarity coefficient for cell formation in generalized group technology

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