Optimization of New Project Validation Protocols in the Automotive Industry: A Simulated Environment for Efficiency and Effectiveness

Increasing vehicle manufacturers has led to a considerable rise in the automotive industry's competitiveness. Various research projects are being developed to devise process optimization strategies using virtual simulation. The paper discusses the importance of applying modeling and simulation strategies to optimize automotive manufacturing processes to meet the demands of a constantly evolving market. The aim is to demonstrate a strategy divided into a few stages to optimize the process of validating new projects applied in the automotive industry. The methodology employed was computer modeling and simulation, which enabled identifying and eliminating risks inherent in the validation process, thereby reducing the time required to complete new projects. The results demonstrated that implementing this strategy facilitated an efficient transition of the validation process, maintaining the quality and safety standards required in the cell. Consequently, it can be posited that the methodology developed is an efficacious instrument for expediting the implementation of novel processes in automotive manufacturing, thereby contributing to the competitiveness and innovation of the industry in the automotive segment. Received: 24 October 2024 | Revised: 10 December 2024 | Accepted: 9 January 2025 Conflicts of Interest The authors declare that they have no conflicts of interest to this work. Data Availability Statement Data are available on request from the corresponding author upon reasonable request. Author Contribution Statement William Aparecido Celestino Lopes: Conceptualization, Methodology, Validation, Investigation, Data curation, Writing – original draft, Writing – review & editing, Visualization. Adilson Cunha Rusteiko: Conceptualization, Methodology, Software, Validation, Formal analysis, Investigation, Resources, Data curation, Writing – original draft, Writing – review & editing, Visualization. Cleiton Rodrigues Mendes: Conceptualization, Methodology, Software, Investigation, Resources, Writing – original draft, Writing – review & editing, Visualization. Nicolas Vinicius Cruz Honório: Conceptualization, Formal analysis, Investigation, Writing – original draft, Writing – review & editing, Visualization. Marcelo Tsuguio Okano: Validation, Formal analysis, Data curation, Supervision, Project administration.

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Publication Details

Journal
Journal of Computational and Cognitive Engineering
Published
2025-02-19
DOI
https://doi.org/10.47852/bonviewjcce52024627
Citations
4
Primary Topic
Safety Systems Engineering in Autonomy
Type
article
Field-Weighted Citation Impact
5.21
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article

Optimization of New Project Validation Protocols in the Automotive Industry: A Simulated Environment for Efficiency and Effectiveness

Cleiton Rodrigues Mendes, William Aparecido Celestino Lopes, Marcelo Tsuguio Okano, Adilson Cunha Rusteiko et al.
4 citations
Journal of Computational and Cognitive Engineering
Safety Systems Engineering in Autonomy
5.21
article

Optimization of New Project Validation Protocols in the Automotive Industry: A Simulated Environment for Efficiency and Effectiveness

Cleiton Rodrigues Mendes, William Aparecido Celestino Lopes, Marcelo Tsuguio Okano, Adilson Cunha Rusteiko, Nicolas Vinicius Cruz Honório
article en
4 citations

Abstract

Increasing vehicle manufacturers has led to a considerable rise in the automotive industry's competitiveness. Various research projects are being developed to devise process optimization strategies using virtual simulation. The paper discusses the importance of applying modeling and simulation strategies to optimize automotive manufacturing processes to meet the demands of a constantly evolving market. The aim is to demonstrate a strategy divided into a few stages to optimize the process of validating new projects applied in the automotive industry. The methodology employed was computer modeling and simulation, which enabled identifying and eliminating risks inherent in the validation process, thereby reducing the time required to complete new projects. The results demonstrated that implementing this strategy facilitated an efficient transition of the validation process, maintaining the quality and safety standards required in the cell. Consequently, it can be posited that the methodology developed is an efficacious instrument for expediting the implementation of novel processes in automotive manufacturing, thereby contributing to the competitiveness and innovation of the industry in the automotive segment. Received: 24 October 2024 | Revised: 10 December 2024 | Accepted: 9 January 2025 Conflicts of Interest The authors declare that they have no conflicts of interest to this work. Data Availability Statement Data are available on request from the corresponding author upon reasonable request. Author Contribution Statement William Aparecido Celestino Lopes: Conceptualization, Methodology, Validation, Investigation, Data curation, Writing – original draft, Writing – review & editing, Visualization. Adilson Cunha Rusteiko: Conceptualization, Methodology, Software, Validation, Formal analysis, Investigation, Resources, Data curation, Writing – original draft, Writing – review & editing, Visualization. Cleiton Rodrigues Mendes: Conceptualization, Methodology, Software, Investigation, Resources, Writing – original draft, Writing – review & editing, Visualization. Nicolas Vinicius Cruz Honório: Conceptualization, Formal analysis, Investigation, Writing – original draft, Writing – review & editing, Visualization. Marcelo Tsuguio Okano: Validation, Formal analysis, Data curation, Supervision, Project administration.

Journal of Computational and Cognitive EngineeringVol. 4(3)
Universidade Paulista (BR), Senac University Center (BR), Atlanta Research and Education Foundation (US), Brazilian Center for Research in Energy and Materials (BR)
Openalex Percentile: Top 6%
Safety Systems Engineering in Autonomy
5.21
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