Complete and fractional cell formation using Kohonen self-organizing map networks in a cellular manufacturing system

Principal Component Analysis and Self-Organizing Map for Visual Clustering of Machine-Part Cell Formation in Cellular Manufacturing System

“… it generates benefits of cellular manufacturing with less backtracking, reduced material handling, better control of cell activities, reduction in work-in-process inventory and lead time  the objective of minimizing exceptional elements without considering operation sequences, does not lead to minimization of material handling as reported by Harhalakis et al, (1990)  the similarity of operation sequence in each cell facilitates the implementation of just-in-time manufacturing system  non requirement of converted precedence incidence matrix from the sequence based machine-part incidence matrix and thus less time and computational burden (Won and Currie, 2007)  as the part by part matrix for each machine generated from sequence based matrix itself becomes a large input matrix to the earlier clustering algorithm and direct input of sequence based machine-part matrix of industry size can be helpful to solve real life problems  Venkumar and Haq (2006) reported SOM is suitable for cell formation solution to any size of machine-part incidence matrix Due to the ready representation and interpretation, visualization and classification can efficiently handle the complexity of data as a standard tool. The cell formation is NP hard problem.…”

A simulation-based evolutionary multiobjective approach to manufacturing cell formation

“…doi:10.1016/j.cie.2010.02.017 q This manuscript was processed by Area Editor Gursel A. Suer, PhD. with the solution of mathematical programming models. In relevant literature, there are examples of successful applications in neural networks (Guerrero, Lozano, Smith, Canca, & Kwok, 2002;Venkumar & Haq, 2006); fuzzy logic (Güngör & Arikan, 2000;Tsai, Chu, & Wu, 2006); and evolutionary computation (Gonçalves Filho & Tiberti, 2006;Joines, Culbreth, & King, 1996;Venugopal & Narendran, 1992). Comprehensive surveys on the aforementioned techniques for cell formation may be found in Singh (1993), Selim et al (1998) and Heragu (1994).…”

The modified fuzzy art and a two-stage clustering approach to cell design

“…They have also developed an algorithm for training a feed-forward fuzzy Petri-net and have shown an analysis of its convergence. Venkumar and Haq [25] proposed Kohonen self-organizing map networks to obtain the group technology cell formation.…”