A New Approach of Group Technology Part Families Optimization

The key question of forming a group technology (GT) based manufacturing system has attracted numerous attempts in applying various optimization techniques. This paper presents a new approach of optimizing GT part family formation by genetic algorithm (GA) which is based on the principles of natural...

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Bibliographic Details
Published inCIRP annals Vol. 43; no. 1; pp. 425 - 428
Main Authors Hon, K.K.B., Chi, H.
Format Journal Article
LanguageEnglish
Published Oxford Elsevier Ltd 1994
Elsevier
Subjects
Applied sciences
Exact sciences and technology
genetic algorithms
group technology
Industrial design, planning, organization, safety
Manufacturing systems
Mechanical engineering. Machine design
group technology
genetic algorithms
Manufacturing systems
Penalty function
Group technology
Manufacturing
Genetic algorithm
Optimization
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Summary:The key question of forming a group technology (GT) based manufacturing system has attracted numerous attempts in applying various optimization techniques. This paper presents a new approach of optimizing GT part family formation by genetic algorithm (GA) which is based on the principles of natural selection. A genetic algorithm model combining a coding design, a penalty factor and a scaling operation was developed for this purpose. Results generated from four case examples and comparisons with three other heuristic methods demonstrated that the genetic algorithm approach provides a powerful and effective numerical tool for the optimization of GT part-families.
ISSN:0007-8506
DOI:10.1016/S0007-8506(07)62245-8