Selection Method of Sharing Modules for Modular Product Family

被引：0
|
作者：
Hou W. [1 ]
Shan C. [1 ]
Yu Y. [1 ]
Zhang H. [2 ]
机构：
[1] School of Automotive Engineering, Dalian University of Technology, Dalian
[2] School of Mechanical Engineering, Dalian University of Technology, Dalian
来源：
Zhang, Hongzhe (zhanghongzhe@dlut.edu.cn) | 1600年 / Hunan University卷 / 44期
基金：
中国国家自然科学基金;
关键词：
Collaborative optimization; Consistency constraints; Fuzzy set theory; Modular; Product family;
D O I：
10.16339/j.cnki.hdxbzkb.2017.02.010
中图分类号：
学科分类号：
摘要：
For sharing modules selection in the modular platform design, an algorithm based on constraints was proposed, which was inspired by Collaborative Optimization using the constraints to coordinate the System Level Optimization and Sub-system Level Optimization. In this algorithm, NSGA-Ⅱ was used in the System level to solve the Multidisciplinary Design Optimization problem, and a Pareto set was gotten. By using the fuzzy set theory to evaluate each equation in the Pareto set, the optimum solution was easily picked out, and the sharing modules selection was realized in this way. At last, this method was verified by using an application example constituted by involving a SUV, a hatchback, and a sedan. © 2017, Editorial Department of Journal of Hunan University. All right reserved.
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页码：66 / 74
页数：8
相关论文
共 26 条
  • [1] Wu Y., Hou L., Zhu Q., Et al., Evolution analysis and evaluation for core module based on product family, Transactions of the Chinese Society for Agricultural Machinery, 45, 4, pp. 294-303, (2014)
  • [2] Wang Y., Fan B., Dynamic platform strategy in new product development, Science Research Management, 25, 4, pp. 97-103, (2004)
  • [3] Wei W., Liang H., Xu S., Module division method of robust product platform based on improved artificial immune algorithms, Computer Integrated Manufacturing Systems, 21, 4, pp. 885-893, (2015)
  • [4] Torstenfelt B., Klarbring A., Conceptual optimal design of modular car product families using simultaneous size, shape and topology optimization, Finite Elements in Analysis and Design, 43, pp. 1050-1061, (2007)
  • [5] Simpson T.W., D'Souza B., Assessing variable levels of platform commonality within a product family using a multi-objective genetic algorithm, Proceedings of the 9th AIAA/ISSMO Symposium on Multidisciplinary Analysis and Optimization, 9, pp. 1-10, (2002)
  • [6] Jiao J., Simpson T.W., Siddique Z., Product family design and platform-based product development: a state of the art review, Journal of Intelligent Manufacturing, 18, 1, pp. 5-29, (2007)
  • [7] Algeddawy T., Elmaraghy H., Optimum granularity level of modular product design architecture, CIRP Annals-Manufacturing Technology, 62, 1, pp. 151-154, (2013)
  • [8] Bhandare S., Allada V., Scalable product family design: case study of axial piston pumps, International Journal of Production Research, 47, 3, pp. 585-620, (2009)
  • [9] Fellini R., Kokkolaras M., Papalambros P., Quantitative platform selection in optimal design of product families, with application to automotive engine design, Journal of Engineering Design, 17, 5, pp. 429-446, (2006)
  • [10] Torstenfelt B., Klarbring A., Conceptual optimal design of modular car product families using simultaneous size, shape and topology optimization, Finite Elements in Analysis and Design, 43, pp. 1050-1061, (2007)
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