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Analysis of electronic product design schemes based on embedded systems

  • Buzhong Liu ORCID logo EMAIL logo
Published/Copyright: April 7, 2025
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Abstract

This paper explores electronic product design with a focus on embedded systems, highlighting the strategic approaches used by design engineers to balance innovation, efficiency, and competitiveness. It examines design practices across firms and introduces a framework that portrays design engineers as “administrative men,” adept at navigating project complexities by choosing among four distinct design paths: “Repeat Order, Variant Design, Innovative Design, and Strategic Design.” The “Repeat Order” path focuses on reproducing existing designs with minimal changes, while “Variant Design” adapts designs to specific requirements. “Innovative Design” aims for novel solutions, and “Strategic Design” integrates long-term innovation with business strategies. Each path reflects unique goals, resource demands, and methodologies. To support the selection of the most suitable design path, this study introduces a novel metric and a structured methodology for evaluating design yield and cost. This approach includes analyzing complexity, estimating yield, and calculating total costs, culminating in an objective function designed to enhance design efficiency and accuracy. By offering actionable insights and a comprehensive decision-making framework, the paper aims to optimize the embedded design process, addressing the evolving challenges and opportunities in electronic product development.


Corresponding author: Buzhong Liu, School of Electronic Engineering, Jiangsu Vocational College of Electronics and Information, Jiangsu, 223003, China, E-mail:

Acknowledgments

The authors would like to show sincere thanks to those techniques who have contributed to this research.

  1. Research ethics: This article does not contain any studies with human participants performed by any of the authors.

  2. Informed consent: Not applicable.

  3. Author contributions: Buzhong Liu, is responsible for designing the framework, analyzing the performance, validating the results, and writing the article.

  4. Use of Large Language Models, AI and Machine Learning Tools: None declared.

  5. Conflict of interest: The authors declared that they have no conflicts of interest regarding this work.

  6. Research funding: Authors did not receive any funding.

  7. Data availability: The experimental data used to support the findings of this study are available from the corresponding author upon request.

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Received: 2024-12-21
Accepted: 2025-03-02
Published Online: 2025-04-07

© 2025 Walter de Gruyter GmbH, Berlin/Boston

Downloaded on 9.9.2025 from https://www.degruyterbrill.com/document/doi/10.1515/ijeeps-2024-0396/pdf
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