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
Authors
- Luca Settineri (ORCID: https://orcid.org/0000-0002-5816-170X)
- Paolo C. Priarone (ORCID: https://orcid.org/0000-0003-4226-7697)
- Alessandro Simeone (ORCID: https://orcid.org/0000-0002-8617-2721)
- Jian Zhang (ORCID: https://orcid.org/0009-0008-0600-4252)
- Enrico Favazza
- Luca Borsato
Institutions
- Politecnico di Torino (IT)
- Shantou University (CN)
- Guangdong Institute of Intelligent Manufacturing (CN)
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