Research on Risk Management Strategies and Implementation Paths in Chip Design
DOI:
https://doi.org/10.5281/zenodo.13755264ARK:
https://n2t.net/ark:/40704/AJSM.v2n5a02References:
24Keywords:
Chip Design, Risk Management, Semiconductor Systems, Risk Mitigation Strategies, Project ExecutionAbstract
Chip design has emerged as an essential field due to the increasing complexity of semiconductor systems and demand for faster, more cost-effective solutions across industries. Unfortunately, chip production comes with many risks, from technical challenges to market volatility - making risk management an essential aspect of chip design process. This paper offers comprehensive risk management strategies within chip design; specifically identifying, evaluating and mitigating risks through effective management practices throughout its life cycle - ultimately guaranteeing efficient project execution and management.
Downloads
Metrics
References
Gupta, V. (2022). Risk management and planning in system-on-chip project. Saimaa University of Applied Sciences. Retrieved from https://urn.fi/URN:NBN:fi:amk-2022112924845:contentReference[oaicite:0]{index=0}
Wang, L. (2024). Low-Latency, High-Throughput Load Balancing Algorithms. Journal of Computer Technology and Applied Mathematics, 1(2), 1–9.
Wang, L. (2024). Network Load Balancing Strategies and Their Implications for Business Continuity. Academic Journal of Sociology and Management, 2(4), 8–13.
Li, W. (2024). Transforming Logistics with Innovative Interaction Design and Digital UX Solutions. Journal of Computer Technology and Applied Mathematics, 1(3), 91–96.
Li, W. (2024). User-Centered Design for Diversity: Human-Computer Interaction(HCI) Approaches to Serve Vulnerable Communities. Journal of Computer Technology and Applied Mathematics, 1(3), 85–90.
Li, W. (2024). The Impact of Apple’s Digital Design on Its Success: An Analysis of Interaction and Interface Design. Academic Journal of Sociology and Management, 2(4), 14–19.
Chen, Q., Li, D., & Wang, L. (2024). Blockchain Technology for Enhancing Network Security. Journal of Industrial Engineering and Applied Science, 2(4), 22–28.
Chen, Q., Li, D., & Wang, L. (2024). The Role of Artificial Intelligence in Predicting and Preventing Cyber Attacks. Journal of Industrial Engineering and Applied Science, 2(4), 29–35.
NASA. (n.d.). Technical risk management. Retrieved from https://www.nasa.gov/sites/default/files/files/NASA_SP-2011-3422.pdf:contentReference[oaicite:1]{index=1}
Chen, Q., Li, D., & Wang, L. (2024). Network Security in the Internet of Things (IoT) Era. Journal of Industrial Engineering and Applied Science, 2(4), 36–41.
Li, D., Chen, Q., & Wang, L. (2024). Cloud Security: Challenges and Solutions. Journal of Industrial Engineering and Applied Science, 2(4), 42–47.
Li, D., Chen, Q., & Wang, L. (2024). Phishing Attacks: Detection and Prevention Techniques. Journal of Industrial Engineering and Applied Science, 2(4), 48–53.
Song, C., Zhao, G., & Wu, B. (2024). Applications of Low-Power Design in Semiconductor Chips. Journal of Industrial Engineering and Applied Science, 2(4), 54–59.
Zhao, G., Song, C., & Wu, B. (2024). 3D Integrated Circuit (3D IC) Technology and Its Applications. Journal of Industrial Engineering and Applied Science, 2(4), 60–65.
Wu, B., Song, C., & Zhao, G. (2024). Applications of Heterogeneous Integration Technology in Chip Design. Journal of Industrial Engineering and Applied Science, 2(4), 66–72.
Wang, L., Xiao, W., & Ye, S. (2019). Dynamic Multi-label Learning with Multiple New Labels. Image and Graphics: 10th International Conference, ICIG 2019, Beijing, China, August 23--25, 2019, Proceedings, Part III 10, 421–431. Springer.
Wang, L., Fang, W., & Du, Y. (2024). Load Balancing Strategies in Heterogeneous Environments. Journal of Computer Technology and Applied Mathematics, 1(2), 10–18.
Liu, T., Cai, Q., Xu, C., Zhou, Z., Xiong, J., Qiao, Y., & Yang, T. (2024). Image Captioning in news report scenario. arXiv Preprint arXiv:2403. 16209.
Zhou, Z., Xu, C., Qiao, Y., Xiong, J., & Yu, J. (2024). Enhancing Equipment Health Prediction with Enhanced SMOTE-KNN. Journal of Industrial Engineering and Applied Science, 2(2), 13–20.
Zhou, Z., Xu, C., Qiao, Y., Ni, F., & Xiong, J. (2024). An Analysis of the Application of Machine Learning in Network Security. Journal of Industrial Engineering and Applied Science, 2(2), 5–12.
Hammad, K., Alibadi, H., & Al-Taie, M. (2022). Effective risk management in semiconductor design projects. IEEE Transactions on Engineering Management, 69(4), 1231-1245.
Xu, C., Qiao, Y., Zhou, Z., Ni, F., & Xiong, J. (2024). Enhancing Convergence in Federated Learning: A Contribution-Aware Asynchronous Approach. Computer Life, 12(1), 1–4.
Zhou, J., Liang, Z., Fang, Y., & Zhou, Z. (2024). Exploring Public Response to ChatGPT with Sentiment Analysis and Knowledge Mapping. IEEE Access.
Greengard, S. (2019). Managing project risks in semiconductor design. ACM Journal of Design Automation for Embedded Systems, 24(3), 209-215.
Downloads
Published
How to Cite
Issue
Section
ARK
License
Copyright (c) 2024 The author retains copyright and grants the journal the right of first publication.
This work is licensed under a Creative Commons Attribution 4.0 International License.