Dynamic grouping of parts in flexible manufacturing systems. A self-organizing neural networks approach

DOI10.1016/0377-2217(94)00326-8zbMath0915.90130OpenAlexW2053840974MaRDI QIDQ1129319

Uday R. Kulkarni, Melody Y. Kiang

Publication date: 25 October 1998

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0377-2217(94)00326-8

zbMATH Keywords

decision support systemsneural networksartificial intelligencegroup technologyself-organizing mapflexible manufacturing

Mathematics Subject Classification ID

Production models (90B30) Theory of languages and software systems (knowledge-based systems, expert systems, etc.) for artificial intelligence (68T35)

Related Items

Adaptive fuzzy systems in group technology ⋮ Metaheuristics: A bibliography ⋮ A part-and-tool assignment method for the workload-balance between machines and the minimisation of tool-shortage occurrences in an FMS ⋮ Extending the Kohonen self-organizing map networks for clustering analysis. ⋮ Performance of Fuzzy ART neural network and hierarchical clustering for part-machine grouping based on operation sequences ⋮ A bibliography of neural network business applications research: 1994--1998 ⋮ Artificial neural networks and multicriterion analysis for sustainable irrigation planning ⋮ An improved part grouping model for minimizing makespan in FMS

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