An approach based on genetic algorithms to machining operation sequencing for prismatic parts

An approach based on genetic algorithms to machining operation sequencing for prismatic parts

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Article ID: iaor20012320
Country: United Kingdom
Volume: 38
Issue: 14
Start Page Number: 3283
End Page Number: 3303
Publication Date: Jan 2000
Journal: International Journal of Production Research
Authors: , ,
Keywords: genetic algorithms
Abstract:

This paper presents a study of using a genetic algorithm (GA) method to select the machining operation sequence for prismatic parts. Four types of process planning rules – including precedence rules, clustering rules, adjacent order rules and optimization rules – are considered and are encompassed quantitatively in the fitness calculations for alternative operation sequences. The impact of variations of the rules on the result of operation sequencing and that of GA parameters on the solution efficiency are discussed through analysis of examples and experiments. The proposed genetic algorithm proves effective for machining operation sequencing of prismatic parts, by incorporating various production environment considerations into process planning.

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