La  inteligencia Artificial y su Impacto en la Industria de la Ingeniería

Carlos Chen Cheng; Eduardo Chung; Noriel Correa

doi:10.48204/reict.v3n1.3948

Submitted June 29, 2023

Published 2023-07-04

Artículos

Vol. 3 No. 1 (2023): REICIT

The Impact of Artificial Intelligence on the Engineering Industry

Carlos Chen Cheng ⁺⁻
Eduardo Chung ⁺⁻
Noriel Correa ⁺⁻

DOI https://doi.org/10.48204/reict.v3n1.3948

PDF (Español (España))

References

DOI: 10.48204/reict.v3n1.3948

Published: 2023-07-04

How to Cite

Chen Cheng , C., Chung , E. and Correa , N. (2023) “The Impact of Artificial Intelligence on the Engineering Industry”, REICIT, 3(1), pp. 26–40. doi: 10.48204/reict.v3n1.3948.

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Abstract

The main objective of this work is to analyze the impact of Artificial Intelligence (AI) on the engineering industry. Key aspects of integrating AI into process automation, its impact on employment and the economy, as well as its potential to improve quality and efficiency in the industry have been examined. The scope of the article includes a comprehensive review of existing literature on the topic, as well as a critical analysis of the results and conclusions of relevant studies. In addition, successful cases of AI application in the engineering industry in China, Europe, and America have been identified and examined. Qualitative and quantitative research methods and techniques were used to carry out the investigation. Articles, books, studies published in journals, and specialized databases were reviewed. Additionally, analyses were conducted to evaluate the results and conclusions obtained. The article concludes that AI has great potential to improve efficiency, quality, and optimization in the engineering industry. However, it is also important to consider the potential negative impacts on employment and the economy. Therefore, a balanced and responsible approach is necessary for the integration of AI in the industry.

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References

Acemoglu, D. (2011). Skills, tasks and technologies: Implications for employment and earnings. Handbook of Labor Economics.
Anderson. (2020). Preparing Engineers for a Digital World: The Importance of Artificial Intelligence Education. Cambridge Journal of Engineering.
Bostrom, N., & Yudkowsky, E. (2014). AI alignment problem. Machine Intelligence Research Institute.
Brown, K., Smith, J., Wilson, M., & Johnson, R. (2020). Improving construction project management through artificial intelligence. Journal of Construction Management and Economics.
Brown, T., Taylor, R., Davis, B., Smith, J., & Johnson, L. (2020). The Benefits of Artificial Intelligence in Construction Project Management. Journal of Construction Management.
Brynjolfsson, E., & McAfee, A. (2014). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. WW Norton & Company.
Chen, L., Liu, Y., & Zhang, D. (2020). Application of artificial intelligence in production planning optimization of machinery construction industry. Journal of Industrial Engineering and Management.
Das, S., Kumar, V., & Banerjee, P. (2018). Artificial intelligence for industrial safety and security. Journal of Ambient Intelligence and Humanized Computing.
Davis, B., Smith, J., Johnson, L., Brown, T., & Taylor, R. (2021). The Impact of Artificial Intelligence on Mining Efficiency. Journal of Mining Engineering.
Davis, J., Smith, J., Brown, K., & Taylor, S. (2021). Improving mining efficiency through artificial intelligence. Journal of Mining and Minerals Engineering.
Frey, C. B., & Osborne, M. A. (2013). The future of employment: How susceptible are jobs to computerisation? . Technological Forecasting and Social Change.
Frey, C. B., & Osborne, M. A. (2017). The future of employment: How susceptible are jobs to computerisation? Technological Forecasting and Social Change.
Gershenson, C. (2018). Artificial intelligence: A guide for thinking humans. Macmillan International Higher Education.
Gundersen, G. B., Martinsen, H., & Sætren, J. (2018). The impact of artificial intelligence on engineering and engineering education. Journal of Engineering Education,.
He, X., & Wang, Y. (2020). Artificial intelligence for the optimization of engineering materials and components. Journal of Ambient Intelligence and Humanized Computing.
Hu, X., & Liu, Y. (2020). Artificial intelligence for real-time monitoring in engineering. Journal of Ambient Intelligence and Humanized Computing.
Johnson, L., Brown, T., Taylor, R., Davis, B., & Smith, J. (2021). Improving Efficiency in the Naval Industry through Artificial Intelligence. Journal of Naval Architecture and Marine Engineering.
Johnson, R., Brown, K., Taylor, S., & Davis, J. (2021). Optimizing shipbuilding processes through artificial intelligence. Naval Engineering and Technology.
Li, Y., & Chen, W. (2019). Personalized learning using artificial intelligence. Journal of Educational Technology Development and Exchange.
Li, Y., Liu, X., & Wang, Y. (2019). Artificial intelligence for project management in engineering. Journal of Engineering Management.
Liang, X., Sun, J., & Fan, W. (2019). A review of artificial intelligence applications in the field of engineering. Journal of Cleaner Production.
Liu, Y., Zhang, J., & Wang, X. (2019). Application of artificial intelligence in electronic
Manyika, J., Chui, M., Bughin, J., Dobbs, R., Bisson, P., & Marrs, A. (2016). Four fundamentals of workplace automation. McKinsey Global Institute.
Marr, B. (2019). The rise of the robots and the future of jobs: What's next? Kogan Page Publishers.
May, F. (2022). Control de operaciones y medición del desempeño. Obtenido de https://www.gestiopolis.com/control-de-operaciones-y-medicion-del-desempeno/
Russell, S. J., & Norvig, P. (2016). Artificial intelligence: a modern approach. Pearson.
Shah, A., & Vemuri, B. (2019). Social and economic impacts of artificial intelligence. Journal of Business Economics and Management.
Shen, Y., & Lu, J. (2020). Artificial intelligence in engineering: A review of recent trends and applications. Engineering Applications of Artificial Intelligence.
Shen, Y., & Wang, Y. (2020). Artificial intelligence in engineering: A review. Engineering Computations.
Smith. (2021). Solving Society’s Most Important Problems: The Role of Artificial Intelligence Education in Engineering. Stanford Journal of Engineering.
Smith, A. (2021). The potential social and economic impacts of artificial intelligence in the engineering industry. Journal of Engineering and Technology Management.
Smith, J., Johnson, L., Brown, T., Taylor, R., & Davis, B. (. (2019). The Impact of Artificial Intelligence on the Aerospace Industry. Journal of Aerospace Engineering.
Smith, J., Wilson, M., Johnson, R., & Davis, K. (2019). Improving manufacturing efficiency in the aerospace industry through artificial intelligence. Journal of Aerospace Technology and Management.
Taylor, R., Davis, B., Smith, J., Johnson, L., & Brown, T. (2022). Optimizing Energy Management through Artificial Intelligence. Journal of Energy and Power Engineering.
Taylor, S., Davis, J., Johnson, R., & Brown, K. (2022). Optimizing energy management through artificial intelligence. Energy Management and Optimization.
Wang, Y., & Zhang, J. (2019). Artificial intelligence for industrial safety and security: A review. Journal of Ambient Intelligence and Humanized Computing.
Wang, Y., Chen, Y., & Liu, Y. (2019). Artificial intelligence in engineering: Opportunities and challenges. Automation in Construction.
Wang, Y., Liu, X., & Chen, W. (2022). Predictive maintenance in engineering processes with artificial intelligence. Journal of Engineering Management.
Wang, Y., Liu, X., & Zhang, J. (2022). Integration of artificial intelligence in engineering education: A review of current trends and future directions. Journal of Engineering Education.
Zhang, J., & Wang, Y. (2018). Artificial intelligence for process automation in engineering. Journal of Ambient Intelligence and Humanized Computing.
Zhang, Y. C. (2021). Quality inspection of consumer goods using artificial intelligence. Journal of Quality Engineering.
Zhou, J., & Wang, Y. (2019). Artificial intelligence for predictive analysis and decision-making in engineering. Journal of Ambient Intelligence and Humanized Computing.
Acemoglu, D. (2011). Skills, tasks and technologies: Implications for employment and earnings. Handbook of Labor Economics.
Anderson. (2020). Preparing Engineers for a Digital World: The Importance of Artificial Intelligence Education. Cambridge Journal of Engineering.
Bostrom, N., & Yudkowsky, E. (2014). AI alignment problem. Machine Intelligence Research Institute.
Brown, K., Smith, J., Wilson, M., & Johnson, R. (2020). Improving construction project management through artificial intelligence. Journal of Construction Management and Economics.
Brown, T., Taylor, R., Davis, B., Smith, J., & Johnson, L. (2020). The Benefits of Artificial Intelligence in Construction Project Management. Journal of Construction Management.
Brynjolfsson, E., & McAfee, A. (2014). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. WW Norton & Company.
Chen, L., Liu, Y., & Zhang, D. (2020). Application of artificial intelligence in production planning optimization of machinery construction industry. Journal of Industrial Engineering and Management.
Das, S., Kumar, V., & Banerjee, P. (2018). Artificial intelligence for industrial safety and security. Journal of Ambient Intelligence and Humanized Computing.
Davis, B., Smith, J., Johnson, L., Brown, T., & Taylor, R. (2021). The Impact of Artificial Intelligence on Mining Efficiency. Journal of Mining Engineering.
Davis, J., Smith, J., Brown, K., & Taylor, S. (2021). Improving mining efficiency through artificial intelligence. Journal of Mining and Minerals Engineering.
Frey, C. B., & Osborne, M. A. (2013). The future of employment: How susceptible are jobs to computerisation? . Technological Forecasting and Social Change.
Frey, C. B., & Osborne, M. A. (2017). The future of employment: How susceptible are jobs to computerisation? Technological Forecasting and Social Change.
Gershenson, C. (2018). Artificial intelligence: A guide for thinking humans. Macmillan International Higher Education.
Gundersen, G. B., Martinsen, H., & Sætren, J. (2018). The impact of artificial intelligence on engineering and engineering education. Journal of Engineering Education,.
He, X., & Wang, Y. (2020). Artificial intelligence for the optimization of engineering materials and components. Journal of Ambient Intelligence and Humanized Computing.
Hu, X., & Liu, Y. (2020). Artificial intelligence for real-time monitoring in engineering. Journal of Ambient Intelligence and Humanized Computing.
Johnson, L., Brown, T., Taylor, R., Davis, B., & Smith, J. (2021). Improving Efficiency in the Naval Industry through Artificial Intelligence. Journal of Naval Architecture and Marine Engineering.
Johnson, R., Brown, K., Taylor, S., & Davis, J. (2021). Optimizing shipbuilding processes through artificial intelligence. Naval Engineering and Technology.
Li, Y., & Chen, W. (2019). Personalized learning using artificial intelligence. Journal of Educational Technology Development and Exchange.
Li, Y., Liu, X., & Wang, Y. (2019). Artificial intelligence for project management in engineering. Journal of Engineering Management.
Liang, X., Sun, J., & Fan, W. (2019). A review of artificial intelligence applications in the field of engineering. Journal of Cleaner Production.
Liu, Y., Zhang, J., & Wang, X. (2019). Application of artificial intelligence in electronic
Manyika, J., Chui, M., Bughin, J., Dobbs, R., Bisson, P., & Marrs, A. (2016). Four fundamentals of workplace automation. McKinsey Global Institute.
Marr, B. (2019). The rise of the robots and the future of jobs: What's next? Kogan Page Publishers.
May, F. (2022). Control de operaciones y medición del desempeño. Obtenido de https://www.gestiopolis.com/control-de-operaciones-y-medicion-del-desempeno/
Russell, S. J., & Norvig, P. (2016). Artificial intelligence: a modern approach. Pearson.
Shah, A., & Vemuri, B. (2019). Social and economic impacts of artificial intelligence. Journal of Business Economics and Management.
Shen, Y., & Lu, J. (2020). Artificial intelligence in engineering: A review of recent trends and applications. Engineering Applications of Artificial Intelligence.
Shen, Y., & Wang, Y. (2020). Artificial intelligence in engineering: A review. Engineering Computations.
Smith. (2021). Solving Society’s Most Important Problems: The Role of Artificial Intelligence Education in Engineering. Stanford Journal of Engineering.
Smith, A. (2021). The potential social and economic impacts of artificial intelligence in the engineering industry. Journal of Engineering and Technology Management.
Smith, J., Johnson, L., Brown, T., Taylor, R., & Davis, B. (. (2019). The Impact of Artificial Intelligence on the Aerospace Industry. Journal of Aerospace Engineering.
Smith, J., Wilson, M., Johnson, R., & Davis, K. (2019). Improving manufacturing efficiency in the aerospace industry through artificial intelligence. Journal of Aerospace Technology and Management.
Taylor, R., Davis, B., Smith, J., Johnson, L., & Brown, T. (2022). Optimizing Energy Management through Artificial Intelligence. Journal of Energy and Power Engineering.
Taylor, S., Davis, J., Johnson, R., & Brown, K. (2022). Optimizing energy management through artificial intelligence. Energy Management and Optimization.
Wang, Y., & Zhang, J. (2019). Artificial intelligence for industrial safety and security: A review. Journal of Ambient Intelligence and Humanized Computing.
Wang, Y., Chen, Y., & Liu, Y. (2019). Artificial intelligence in engineering: Opportunities and challenges. Automation in Construction.
Wang, Y., Liu, X., & Chen, W. (2022). Predictive maintenance in engineering processes with artificial intelligence. Journal of Engineering Management.
Wang, Y., Liu, X., & Zhang, J. (2022). Integration of artificial intelligence in engineering education: A review of current trends and future directions. Journal of Engineering Education.
Zhang, J., & Wang, Y. (2018). Artificial intelligence for process automation in engineering. Journal of Ambient Intelligence and Humanized Computing.
Zhang, Y. C. (2021). Quality inspection of consumer goods using artificial intelligence. Journal of Quality Engineering.
Zhou, J., & Wang, Y. (2019). Artificial intelligence for predictive analysis and decision-making in engineering. Journal of Ambient Intelligence and Humanized Computing.
Zhou, J., & Wang, Y. (2019). Artificial intelligence for predictive analysis and decision-making in engineering. Journal of Ambient Intelligence and Humanized Computing.
Zhou, J., Li, X., & Wang, Y. (2021). Real-time monitoring and automatic adjustments in engineering processes with artificial intelligence. Journal of Ambient Intelligence and Humanized Computing.
Zhou, Y., Hu, Y., Chen, W., & Li, J. (2021). Enhancing learning motivation through the use of artificial intelligence: An empirical study. Journal of Educational Technology Development and Exchange.
Zhou, Y., Liu, Y., & Zhang, J. (2021). Application of artificial intelligence in energy efficiency optimization in energy generation industry. Journal of Energy Engineering.

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[1] Acemoglu, D. (2011). Skills, tasks and technologies: Implications for employment and earnings. Handbook of Labor Economics.

[2] Anderson. (2020). Preparing Engineers for a Digital World: The Importance of Artificial Intelligence Education. Cambridge Journal of Engineering.

[3] Bostrom, N., & Yudkowsky, E. (2014). AI alignment problem. Machine Intelligence Research Institute.

[4] Brown, K., Smith, J., Wilson, M., & Johnson, R. (2020). Improving construction project management through artificial intelligence. Journal of Construction Management and Economics.

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[6] Brynjolfsson, E., & McAfee, A. (2014). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. WW Norton & Company.

[7] Chen, L., Liu, Y., & Zhang, D. (2020). Application of artificial intelligence in production planning optimization of machinery construction industry. Journal of Industrial Engineering and Management.

[8] Das, S., Kumar, V., & Banerjee, P. (2018). Artificial intelligence for industrial safety and security. Journal of Ambient Intelligence and Humanized Computing.

[9] Davis, B., Smith, J., Johnson, L., Brown, T., & Taylor, R. (2021). The Impact of Artificial Intelligence on Mining Efficiency. Journal of Mining Engineering.

[10] Davis, J., Smith, J., Brown, K., & Taylor, S. (2021). Improving mining efficiency through artificial intelligence. Journal of Mining and Minerals Engineering.

[11] Frey, C. B., & Osborne, M. A. (2013). The future of employment: How susceptible are jobs to computerisation? . Technological Forecasting and Social Change.

[12] Frey, C. B., & Osborne, M. A. (2017). The future of employment: How susceptible are jobs to computerisation? Technological Forecasting and Social Change.

[13] Gershenson, C. (2018). Artificial intelligence: A guide for thinking humans. Macmillan International Higher Education.

[14] Gundersen, G. B., Martinsen, H., & Sætren, J. (2018). The impact of artificial intelligence on engineering and engineering education. Journal of Engineering Education,.

[15] He, X., & Wang, Y. (2020). Artificial intelligence for the optimization of engineering materials and components. Journal of Ambient Intelligence and Humanized Computing.

[16] Hu, X., & Liu, Y. (2020). Artificial intelligence for real-time monitoring in engineering. Journal of Ambient Intelligence and Humanized Computing.

[17] Johnson, L., Brown, T., Taylor, R., Davis, B., & Smith, J. (2021). Improving Efficiency in the Naval Industry through Artificial Intelligence. Journal of Naval Architecture and Marine Engineering.

[18] Johnson, R., Brown, K., Taylor, S., & Davis, J. (2021). Optimizing shipbuilding processes through artificial intelligence. Naval Engineering and Technology.

[19] Li, Y., & Chen, W. (2019). Personalized learning using artificial intelligence. Journal of Educational Technology Development and Exchange.

[20] Li, Y., Liu, X., & Wang, Y. (2019). Artificial intelligence for project management in engineering. Journal of Engineering Management.

[21] Liang, X., Sun, J., & Fan, W. (2019). A review of artificial intelligence applications in the field of engineering. Journal of Cleaner Production.

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[23] Manyika, J., Chui, M., Bughin, J., Dobbs, R., Bisson, P., & Marrs, A. (2016). Four fundamentals of workplace automation. McKinsey Global Institute.

[24] Marr, B. (2019). The rise of the robots and the future of jobs: What's next? Kogan Page Publishers.

[25] May, F. (2022). Control de operaciones y medición del desempeño. Obtenido de https://www.gestiopolis.com/control-de-operaciones-y-medicion-del-desempeno/

[26] Russell, S. J., & Norvig, P. (2016). Artificial intelligence: a modern approach. Pearson.

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[29] Shen, Y., & Wang, Y. (2020). Artificial intelligence in engineering: A review. Engineering Computations.

[30] Smith. (2021). Solving Society’s Most Important Problems: The Role of Artificial Intelligence Education in Engineering. Stanford Journal of Engineering.

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[35] Taylor, S., Davis, J., Johnson, R., & Brown, K. (2022). Optimizing energy management through artificial intelligence. Energy Management and Optimization.

[36] Wang, Y., & Zhang, J. (2019). Artificial intelligence for industrial safety and security: A review. Journal of Ambient Intelligence and Humanized Computing.

[37] Wang, Y., Chen, Y., & Liu, Y. (2019). Artificial intelligence in engineering: Opportunities and challenges. Automation in Construction.

[38] Wang, Y., Liu, X., & Chen, W. (2022). Predictive maintenance in engineering processes with artificial intelligence. Journal of Engineering Management.

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[43] Acemoglu, D. (2011). Skills, tasks and technologies: Implications for employment and earnings. Handbook of Labor Economics.

[44] Anderson. (2020). Preparing Engineers for a Digital World: The Importance of Artificial Intelligence Education. Cambridge Journal of Engineering.

[45] Bostrom, N., & Yudkowsky, E. (2014). AI alignment problem. Machine Intelligence Research Institute.

[46] Brown, K., Smith, J., Wilson, M., & Johnson, R. (2020). Improving construction project management through artificial intelligence. Journal of Construction Management and Economics.

[47] Brown, T., Taylor, R., Davis, B., Smith, J., & Johnson, L. (2020). The Benefits of Artificial Intelligence in Construction Project Management. Journal of Construction Management.

[48] Brynjolfsson, E., & McAfee, A. (2014). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. WW Norton & Company.

[49] Chen, L., Liu, Y., & Zhang, D. (2020). Application of artificial intelligence in production planning optimization of machinery construction industry. Journal of Industrial Engineering and Management.

[50] Das, S., Kumar, V., & Banerjee, P. (2018). Artificial intelligence for industrial safety and security. Journal of Ambient Intelligence and Humanized Computing.

[51] Davis, B., Smith, J., Johnson, L., Brown, T., & Taylor, R. (2021). The Impact of Artificial Intelligence on Mining Efficiency. Journal of Mining Engineering.

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[56] Gundersen, G. B., Martinsen, H., & Sætren, J. (2018). The impact of artificial intelligence on engineering and engineering education. Journal of Engineering Education,.

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[65] Manyika, J., Chui, M., Bughin, J., Dobbs, R., Bisson, P., & Marrs, A. (2016). Four fundamentals of workplace automation. McKinsey Global Institute.

[66] Marr, B. (2019). The rise of the robots and the future of jobs: What's next? Kogan Page Publishers.

[67] May, F. (2022). Control de operaciones y medición del desempeño. Obtenido de https://www.gestiopolis.com/control-de-operaciones-y-medicion-del-desempeno/

[68] Russell, S. J., & Norvig, P. (2016). Artificial intelligence: a modern approach. Pearson.

[69] Shah, A., & Vemuri, B. (2019). Social and economic impacts of artificial intelligence. Journal of Business Economics and Management.

[70] Shen, Y., & Lu, J. (2020). Artificial intelligence in engineering: A review of recent trends and applications. Engineering Applications of Artificial Intelligence.

[71] Shen, Y., & Wang, Y. (2020). Artificial intelligence in engineering: A review. Engineering Computations.

[72] Smith. (2021). Solving Society’s Most Important Problems: The Role of Artificial Intelligence Education in Engineering. Stanford Journal of Engineering.

[73] Smith, A. (2021). The potential social and economic impacts of artificial intelligence in the engineering industry. Journal of Engineering and Technology Management.

[74] Smith, J., Johnson, L., Brown, T., Taylor, R., & Davis, B. (. (2019). The Impact of Artificial Intelligence on the Aerospace Industry. Journal of Aerospace Engineering.

[75] Smith, J., Wilson, M., Johnson, R., & Davis, K. (2019). Improving manufacturing efficiency in the aerospace industry through artificial intelligence. Journal of Aerospace Technology and Management.

[76] Taylor, R., Davis, B., Smith, J., Johnson, L., & Brown, T. (2022). Optimizing Energy Management through Artificial Intelligence. Journal of Energy and Power Engineering.

[77] Taylor, S., Davis, J., Johnson, R., & Brown, K. (2022). Optimizing energy management through artificial intelligence. Energy Management and Optimization.

[78] Wang, Y., & Zhang, J. (2019). Artificial intelligence for industrial safety and security: A review. Journal of Ambient Intelligence and Humanized Computing.

[79] Wang, Y., Chen, Y., & Liu, Y. (2019). Artificial intelligence in engineering: Opportunities and challenges. Automation in Construction.

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