Machine-part cell formation in group technology using a modified ART1 method
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Publication:2469593
DOI10.1016/j.ejor.2007.03.047zbMath1136.90345OpenAlexW2054743476MaRDI QIDQ2469593
Miin-Shen Yang, Jenn-Hwai Yang
Publication date: 6 February 2008
Published in: European Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ejor.2007.03.047
Related Items (7)
An efficient exact model for the cell formation problem with a variable number of production cells ⋮ An exact model for cell formation in group technology ⋮ An experimental comparison of seriation methods for one-mode two-way data ⋮ A water flow-like algorithm for manufacturing cell formation problems ⋮ The evolution of cell formation problem methodologies based on recent studies (1997-2008): Review and directions for future research ⋮ A general variable neighborhood search approach based on a \(p\)-median model for cellular manufacturing problems ⋮ Machine-part cell formation using biclustering
Cites Work
- Adaptive pattern classification and universal recoding. I: Parallel development and coding of neural feature detectors
- Fuzzy logic concepts applied to machine-component matrix formation in cellular manufacturing
- The self-organizing map
- A simulated annealing approach for manufacturing cell formation with multiple identical machines.
- An ideal seed non-hierarchical clustering algorithm for cellular manufacturing
- A massively parallel architecture for a self-organizing neural pattern recognition machine
- Machine-component cell formation in group technology: a neural network approach
- Machine-part family formation with the adaptive resonance theory paradigm
- Design of cellular manufacturing systems
- A neural fuzzy control chart for detecting and classifying process mean shifts
- A neural network approach for the analysis of control chart patterns
- Machine-cell formation through neural network models
- Component grouping for GT applications—a fuzzy clustering approach with validity measure
- Recognition of control chart concurrent patterns using a neural network approach
- Neural networks and physical systems with emergent collective computational abilities.
- Learning representations by back-propagating errors
- Problem Decomposition and Data Reorganization by a Clustering Technique
- Self-organizing maps.
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