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A unified group technology implementation using the backpropagation learning rule of neural networks

  • Published:1991-01 Issue:4 Volume:20 Page:425-437
  • ISSN:0360-8352
  • Container-title:Computers & Industrial Engineering
  • language:en
  • Short-container-title:Computers & Industrial Engineering

Author:

Kao Y.,Moon Y.B.

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Reference14 articles.

1. Group technology and productivity;Hyer;Harvard Bus. Rev.,1984

2. Group technology in the US manufacturing industry: a survey of current practices;Hyer;Int. J. Prod. Res.,1989

3. Cellular manufacturing in the US industry: a survey of users;Wemmerlöv;Int. J. Prod. Res.,1989

4. Learning part families by the backpropagation rule of neural networks;Kao,1990

5. Learning group technology part families from solid models by parallel distributed processing;Moon,1990

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2. Utilization-based grouping efficiency and multi-criteria decision approach in designing of manufacturing cells;Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture;2016-08-06

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4. A Neural Network-Based Algorithm for Group Technology;Advanced Materials Research;2013-07

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