Neural Network Influence in Group Technology: A Chronological Survey and Critical Analysis

TL;DR

This paper provides a chronological review and critical analysis of how Artificial Neural Networks have influenced group technology within Cellular Manufacturing Systems from the 1990s to 2010, highlighting research trends, approaches, and efficiencies.

Contribution

It offers a comprehensive historical overview and critical assessment of ANN applications in group technology, identifying research patterns and comparing clustering methods over two decades.

Findings

Identification of evolving research trends in ANN for group technology

Comparison of clustering efficiencies across different ANN approaches

Analysis of tools and solutions used in the field

Abstract

This article portrays a chronological review of the influence of Artificial Neural Network in group technology applications in the vicinity of Cellular Manufacturing Systems. The research trend is identified and the evolvement is captured through a critical analysis of the literature accessible from the very beginning of its practice in the early 90's till the 2010. Analysis of the diverse ANN approaches, spotted research pattern, comparison of the clustering efficiencies, the solutions obtained and the tools used make this study exclusive in its class.