Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/4659
Title: Implementation of Genetic Algorithm for Assembly Sequence Generation through Design for Assembly Criteria
Authors: Deepak, B B V L
Keywords: Genetic Algorithm
Assembly Sequence Generation
assembly predicates
computer aided design
Design for Assembly
Issue Date: Jun-2024
Citation: International Conference on Recent Advances in Design and Manufacturing, NIT Patna, India, 28 - 30 June 2024
Abstract: In the present study, an assembly sequence generation for an industrial product is obtained using a genetic algorithm. The assembly sequence generation problem is formulated as an optimization problem, and the genetic algorithm is used to find the optimal solution. For each generated sequence, design for assembly attributes are checked for its feasibility. The proposed method is tested on a five-part product, and the results demonstrate that the genetic algorithm can effectively generate an optimal assembly sequence for the product. Further, it is observed that the generated assembly sequence reduces the overall assembly time and improves the efficiency of the assembly process.
Description: Copyright belongs to proceeding publisher
URI: http://hdl.handle.net/2080/4659
Appears in Collections:Conference Papers

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