Volume 12, Issue 10 (October 2025), Pages: 60-72
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Original Research Paper
A multi-objective optimization method for engineering change paths of complex products considering a multi-process complex network
Author(s):
Weiming Yang *
Affiliation(s):
Department of Management, Party School of the Guangdong Provincial Committee of CPC, Guangzhou 510053, China
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* Corresponding Author.
Corresponding author's ORCID profile: https://orcid.org/0000-0001-8220-8398
Digital Object Identifier (DOI)
https://doi.org/10.21833/ijaas.2025.10.008
Abstract
This study addresses the optimization of change propagation paths in complex product engineering, where multiple disciplines and heterogeneous knowledge sources are involved. In such settings, design, production, and modification processes are often simultaneous, parallel, and collaborative, while the knowledge driving these changes is extensive, dynamic, and unstructured. To manage these challenges, a multi-objective optimization method is proposed within a multi-process complex network. A multi-stage network is constructed covering product design, process planning, and manufacturing, and an optimization model is developed considering change propagation intensity, total cost, and carbon emissions. The model is solved using the non-dominated sorting genetic algorithm III (NSGA-III) algorithm, and its feasibility and effectiveness are validated through a case study on engineering changes in a household refrigerator.
© 2025 The Authors. Published by IASE.
This is an open access article under the CC BY-NC-ND license ( http://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords
Engineering change, Propagation path, Multi-objective optimization, Complex network, NSGA-III
Article history
Received 28 April 2025, Received in revised form 6 September 2025, Accepted 10 September 2025
Acknowledgment
This research was financially supported by the Guangdong Provincial Philosophy and Social Science Youth Foundation Project, Guangdong Planning Office of Philosophy and Social Science (GD23YGL40), General Fund Project of the Guangdong Provincial Party School, Party School of the Guangdong Provincial Committee of CPC (XYYB202314).
Compliance with ethical standards
Conflict of interest: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Citation:
Yang W (2025). A multi-objective optimization method for engineering change paths of complex products considering a multi-process complex network. International Journal of Advanced and Applied Sciences, 12(10): 60-72
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