A framework for integrating design optimization and manufacturability in electric vehicle production

Electric vehicle design requires integrating diverse specifications with manufacturability constraints to enhance competitiveness. This work presents a framework that combines design optimization and manufacturability analysis to guide strategic decision-making and improve production outcomes. Using data mining, fuzzy logic, and segmentation algorithms, vehicle specifications are categorized into macro-specifications, such as economic accessibility and sustainability. An optimization tool identifies critical design parameters and predicts feasible adjustments within manufacturability limitations. The framework is validated through a case study, with results discussed in terms of design improvements and manufacturability-driven production efficiency, offering insights for product innovation and competitive positioning. Application 1 Application 2

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Publication Details

Journal
Procedia CIRP
Published
2025-01-01
DOI
https://doi.org/10.1016/j.procir.2025.08.132
Primary Topic
Manufacturing Process and Optimization
Type
article
Field-Weighted Citation Impact
0.00
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article

A framework for integrating design optimization and manufacturability in electric vehicle production

Luca Settineri, Paolo C. Priarone, Alessandro Simeone, Jian Zhang et al.
Procedia CIRP
Manufacturing Process and Optimization
article

A framework for integrating design optimization and manufacturability in electric vehicle production

Luca Settineri, Paolo C. Priarone, Alessandro Simeone, Jian Zhang, Enrico Favazza, Luca Borsato
article en

Abstract

Electric vehicle design requires integrating diverse specifications with manufacturability constraints to enhance competitiveness. This work presents a framework that combines design optimization and manufacturability analysis to guide strategic decision-making and improve production outcomes. Using data mining, fuzzy logic, and segmentation algorithms, vehicle specifications are categorized into macro-specifications, such as economic accessibility and sustainability. An optimization tool identifies critical design parameters and predicts feasible adjustments within manufacturability limitations. The framework is validated through a case study, with results discussed in terms of design improvements and manufacturability-driven production efficiency, offering insights for product innovation and competitive positioning. Application 1 Application 2

Procedia CIRPVol. 136
Politecnico di Torino (IT), Shantou University (CN), Guangdong Institute of Intelligent Manufacturing (CN)
Openalex Percentile: Top 68%
Manufacturing Process and Optimization
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