Multi-objective optimization method for disassembly sequence of used product under the condition of parts classification

doi:10.16731/j.cnki.1671-3133.2018.09.025

Abstract

Abstract: The product optimization of disassembly sequences contributes to improve the product disassembly efficiency and economic performance.The disassembly process of used products is analyzed and the used parts to be disassembled can be categorized into two types,namely,destructive disassembly and conventional disassembly.Introducing mechanical parts classification into disassembly hybrid graph and further establish an improved model of disassembly hybrid graph.Then,an integrating destructive disassembly and conventional disassembly method is applied to complete disassembly process of used products.A multi-objective function of disassembly sequences for used parts,including disassembly time and cost,is established and aims to minimize the disassembly time and cost.Meanwhile,Particle Swarm Optimization(PSO) is used to multi-objective optimization.Finally,an example is illustrated to verify the feasibility and validity of proposed method.

Key words: disassembly sequence, parts classification, improved model of disassembly hybrid graph, multi-objective optimization, Particle Swarm Optimization(PSO)

CLC Number:

TH122

Wei Weijie, Zhang Hua, Jiang Zhigang, Zhang Xugang. Multi-objective optimization method for disassembly sequence of used product under the condition of parts classification[J]. Modern Manufacturing Engineering, 2018, 456(9): 127-133.

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