Product Modular Design Method for Active Recovery

Chongyuan Zhang; Wei Wei; Yang Zhan; Rupeng Li

doi:10.15302/J-SSCAE-2018.02.007

PDF(2338 KB)

Strategic Study of CAE ›› 2018, Vol. 20 ›› Issue (2) : 42-49. DOI: 10.15302/J-SSCAE-2018.02.007

Study on Special Subjects

Orginal Article

Product Modular Design Method for Active Recovery

Author information +

History +

Abstract

The demand for product recovery performance has been gradually improved with the environmental protection awareness. Based on the traditional modular design method, this paper integrates the active recovery products modular design idea, puts forward the active recovery products modularization criteria and takes the active recovery, internal polymerization degree and external coupling degree as the optimization target to divide modules. In the algorithm section, this paper proposes the clonal multi-objective optimization algorithm. It is based on mutation operation and optimized by removing more crowded antibodies. Finally, we apply the method to the internal combustion engine and compare the method with the unoptimized algorithm.The conclusion proves the superiority of the improved immune algorithm.

Keywords

active recycling / multiobjective optimization / modular partition / improved immune algorithm / green design

Cite this article

EndNote

Ris (Procite)

Bibtex

Download citation ▾

Chongyuan Zhang, Wei Wei, Yang Zhan, Rupeng Li. Product Modular Design Method for Active Recovery. Strategic Study of CAE, 2018, 20(2): 42‒49 https://doi.org/10.15302/J-SSCAE-2018.02.007

References

Publishing order | Descend order by publishing year | Descend order by cited within

[1]	李生. 结构变动对制造业技术效率影响的实证研究 [D]. 大连: 大连理工大学(硕士学位论文), 2009.

[2]	李方义, 刘钢, 汪劲松, 等. 模糊AHP 方法在产品绿色模块化设计中的应用 [J]. 中国机械工程, 2000, 11(9): 997–1000.

[3]	Gu P, Hashemian M, Sosale S, et al. An integrated modular design methodology for life-cycle engineering [J]. CIRP Annals-Manufacturing Technology, 1997, 46(1): 71–74.

[4]	陆韵薇. 基于同异比的模块化绿色产品族设计方法 [D]. 上海:上海交通大学(硕士学位论文), 2013.

[5]	曾北昌. 面向家电产品的拆卸与回收设计技术研究 [D]. 苏州: 苏州大学(硕士学位论文), 2010.

[6]	苏旭武, 左帆. 基于层次模块化的小型家电拆卸序列生成及优化 [J]. 湖北工业大学学报, 2017, 32(4): 6–11.

[7]	郭伟祥, 刘志峰, 刘光复, 等. 基于模块化思想的拆卸序列规划[J]. 计算机辅助设计与图形学学报, 2005, 17(3): 498–504.

[8]	容康权, 徐小明, 李福海. 模块化的产品拆卸方法研究 [J]. 机电工程技术, 2009, 38(4): 88–91, 132.

[9]	魏巍, 彭关伟, 吉军, 等. 基于改进免疫算法的可拆卸设计的产品模块划分方法 [J]. 航空制造技术, 2017, 527(8): 64–69.

[10]	侯昆峰, 李中凯. 面向绿色模块化的产品重设计方法 [J]. 现代制造工程, 2017 (12): 139–145.

[11]	Muhamad A S, Deris S. An artificial immune system for solving production scheduling problems: A review [J]. Artificial Intelligence Review, 2013, 39(2): 97–108.

[12]	权妮, 夏绪辉. 面向主动回收的汽车产品模块化设计研究 [J]. 物流技术, 2014, 33(5): 148–150.

[13]	Coello C A C, Cortes N C. Solving multiobjective optimization problems using an artificial immune system [J]. Genetic Programming & Evolvable Machines, 2005, 6(2): 163–190.