The Role of Fuzzy and Genetic Algorithms in Part Family Formation and Sequence Optimisation for Flexible Manufacturing Systems

2002 ◽  
Vol 19 (12) ◽  
pp. 879-888 ◽  
Author(s):  
K. S. Ravichandran ◽  
K. Chandra Sekhara Rao ◽  
R. Saravanan
Keyword(s):  
Genetic Algorithms ◽  
Flexible Manufacturing ◽  
Flexible Manufacturing Systems ◽  
Manufacturing Systems ◽  
Family Formation ◽  
Part Family ◽  
Part Family Formation

HUMAN COGNITION INSPIRED PROCEDURES FOR PART FAMILY FORMATION BASED ON NOVEL INSPECTION BASED CLUSTERING APPROACH

10.6036/9997 ◽  
2021 ◽  
Vol 96 (5) ◽  
pp. 546-552
Author(s):  
NAGA-SAI-RAM GOPISETTI ◽  
MARIA LEONILDE ROCHA VARELA ◽  
JOSE MACHADO
Keyword(s):  
Manufacturing Systems ◽  
Family Formation ◽  
Human Cognition ◽  
Cellular Manufacturing Systems ◽  
Part Family ◽  
Machine Grouping ◽  
Problem Types ◽  
Part Family Formation ◽  
Clustering Approach ◽  
Partial Implementation

Human cognition based procedures are promising approaches for solving different kind of problems, and this paper addresses the part family formation problem inspired by a human cognition procedure through a graph-based approach, drawing on pattern recognition. There are many algorithms which consider nature inspired models for solving a broad range of problem types. However, there is a noticeable existence of a gap in implementing models based on human cognition, which are generally characterized by “visual thinking”, rather than complex mathematical models. Hence, the natural power of reasoning - by detecting the patterns that mimic the natural human cognition - is used in this study as this paper is based on the partial implementation of graph theory in modelling and solving issues related to part machine grouping, regardless of their size. The obtained results have shown that most of the problems solved by using the proposed approach have provided interesting benchmark results when compared with previous results given by GRASP (Greedy Randomized Adaptive Search Procedure) heuristics. Keywords: Cellular manufacturing systems; part family formation; human cognition; inspection-based clustering.

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