Multi-factor integrated configuration model and three-layer hybrid optimization algorithm framework: turnkey project-oriented rapid manufacturing system configuration

Shu-Lian Xie , Feng Xue , Wei-Min Zhang , Jia-Wei Zhu , Zi-Wei Jia

Advances in Manufacturing ›› : 1 -28.

PDF
Advances in Manufacturing ›› : 1 -28. DOI: 10.1007/s40436-023-00476-8
Article

Multi-factor integrated configuration model and three-layer hybrid optimization algorithm framework: turnkey project-oriented rapid manufacturing system configuration

Author information +
History +
PDF

Abstract

In the context of increasingly prominent product personalization and customization trends, intelligent manufacturing-oriented turnkey projects can provide manufacturers with fast and convenient turnkey services for manufacturing systems. Their key characteristic is the transformation of the traditional design process into a configuration process. However, the scope of configuration resources in existing research is limited; the cost and time required for manufacturing system construction are overlooked; and the integration of the system layout configuration is rarely considered, making it difficult to meet the manufacturing system configuration requirements of turnkey projects. In response, this study establishes a multi-factor integrated rapid configuration model and proposes a solution method for manufacturing systems based on the requirements of turnkey projects. The configuration model considers the system construction cost and duration and the product manufacturing cost and duration, as optimization objectives. The differences in product feature-dividing schemes and configuration of processes, equipment, tools, fixtures, and layouts were considered simultaneously. The proposed model-solving method is a three-layer hybrid optimization algorithm framework with two optimization algorithm modules and an intermediate algorithm module. Four hybrid configuration algorithms are established based on non-dominated sorting genetic algorithm-III (NSGAIII), non-dominated sorting genetic algorithm-II (NSGAII), multi-objective simulated annealing (MOSA), multi-objective neighborhood search (MONS), and tabu search (TS). These algorithms are compared and validated through a hydraulic valve block production case, and the TS and NSGAIII (TS-NSGAIII) hybrid algorithm exhibits the best performance. This case demonstrates the effectiveness of the proposed model and solution method.

Keywords

Manufacturing systems / Configuration / Turnkey projects / Hybrid optimization algorithm / Multi-objective optimization

Cite this article

Download citation ▾
Shu-Lian Xie, Feng Xue, Wei-Min Zhang, Jia-Wei Zhu, Zi-Wei Jia. Multi-factor integrated configuration model and three-layer hybrid optimization algorithm framework: turnkey project-oriented rapid manufacturing system configuration. Advances in Manufacturing 1-28 DOI:10.1007/s40436-023-00476-8

登录浏览全文

4963

注册一个新账户 忘记密码

References

Funding

the National Key R&D Program of China(2017YFE0101400)

AI Summary AI Mindmap
PDF

169

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/