Work

Multiobjective Optimization of Propagation Path in Automotive Product Design Change Based on MOPSO

Year: 2022

Type: article

Abstract: In optimizing the propagation paths of automotive product design changes, we applied the complex network theory to automotive product structure modeling and established a directed weighted auto part network model. In this model, we defined the parts as the nodes, the physical connections between the parts as the edges, and the impacts of change propagation as the weights of the edges. According to the characteristics of change propagation, we constructed a multiobjective optimization model that simultaneously considered the development time, development cost, and change risk. Using a multiobjective particle swarm optimization (MOPSO) algorithm, we solved the model and obtained the Pareto set of optimal solutions, which provided a basis for designers to choose the optimal design change plan. We conducted the multiobjective optimization of the air-conditioning system design change propagation path in a car model to verify the feasibility and effectiveness of the method.

Source: Mobile Information Systems

DOI: 10.1155/2022/7488439

Authors: Jinting Ni, Hui Zhao

Institution: Anhui Technical College of Mechanical and Electrical Engineering

Language: English

Topic: Product Development and Customization

Subfield: Management of Technology and Innovation

Field: Business, Management and Accounting

Domain: Social Sciences

SDG: Industry, innovation and infrastructure

Open Access status: hybrid

Estimated APC paid: $2,550