Industry 4.0 in Manufacturing Companies in Mexico
Keywords:
Industry 4.0, Manufacturing Sector, Manufacturing Companies, MexicoSynopsis
In a world with over eight billion people, the growing demand for goods and services has led to excessive exploitation of non-renewable resources, accelerating global warming through CO2 emissions. "Industry 4.0: Sustainability and Business Transformation" proposes changing industrial production to address this problem.
The book explores how the scientific, academic, and business communities collaborate in the face of this challenge. It suggests using recyclable materials and renewable energies in manufacturing to enhance the environment. However, this transformation faces obstacles.
Although Industry 4.0 represents a significant change, its adoption comes with challenges. Costs and a lack of collaboration in supply chains hinder its implementation. Skills and infrastructure gaps impede its progress in developing economies.
The book highlights Industry 4.0 for businesses, especially in emerging economies like Mexico, aiming for environmental and sustainability goals in the metal-mechanical, automotive, aerospace, chemical, and textile manufacturing sectors. However, it requires a robust network to connect resources and people.
The central goal of Industry 4.0 is to merge value and production in intelligent enterprises. Horizontal and vertical integration will enable automatic exchanges, connecting products, machinery, employees, and consumers. "Industry 4.0: Sustainability and Business Transformation" advocates for adaptable production systems to meet current challenges.
This book is essential for those interested in industrial sustainability, business innovation, and technology
Downloads
Download data is not yet available.
References
Accenture. (2017). 2017 Cost of Cybercrime Study. Accenture. https://www.accenture.com/gb-en/ insight-cost-of-cybercrime-2017.
Alavian, P., Eun, Y., Meerkov, S.M., & Zhang, L. (2020). Smart production systems: Automatic decision-making in manufacturing environment. International Journal of Production Research, 58(3), 828-845.
Alcacer, V., & Cruz-Machado, V. (2019). Scanning the industry 4.0: A literature review on technolo- gies for manufacturing systems. Engineering Science and Technology, 22(3), 899-919.
Almada-Lobo, F. (2016). The industry 4.0 revolution and the future of manufacturing execution systems (MES). Journal of Innovation Management, 3(4), 16-21.
AMIA (2022) México en la Producción Mundial de Vehículos https://www.amia.com.mx/about/ve- hiculos-mexico/
Anderson, J.M., Nidhi, K., Stanley, K.D., Sorensen, P., Samaras, C., & Oluwatola, O.A. (2014). Auton- omous Vehicle Technology: A Guide for Policymakers. Santa Monica, CA: RAND Corporation.
ANIQ (2022) Anuario Estadístico de la Industria Química Edición 2022 https://aniq.org.mx/webpu- blico/notas/anuarioestadisticoiq.asp
Appio, F.P., Frattini, F., Petruzzelli, A.M., & Neirotti, P. (2021). Digital transformation and innova- tion management: A synthesis of existing research and an agenda for future studies. Journal of Product Innovation Management, 38(1), 4-20.
Ardanza, A., Moreno, A., Segura, A., de la Cruz, M., & Aguinaga, D. (2019). Sustainable and flexible industrial human machine interfaces to support adaptable applications in the industry 4.0 para- digm. International Journal of Production Research, 57(12), 4045-4059.
Ardito, L., D’Adda, D., & Petruzzelli, A.M. (2018). Mapping innovation dynamics in the internet of things domain: Evidence from patent analysis. Technological Forecasting and Social Change, 136(1), 317-330.
Ardito, L., Petruzzelli, A.M., Panniello, U., & Garavelli, A.C. (2019). Towards industry 4.0. Business Process Management Journal, 25(2), 323-346.
Aria, E., Olstam, J., & Schwietering, C. (2016). Investigation of automated vehicle effects on driver’s behavior and traffic performance. Transportation Research Procedia, 15(1), 761-770.
Arnold, C., Kiel, D., & Voigt, K.I. (2016). How the industrial internet of things changes business models in different manufacturing industries. International Journal of Innovation Management, 20(8), 1-16.
Arunachalam, D., Kumar, N., & Kawalek, J.P. (2018). Understanding big data analytics capabilities in supply chain management: Unravelling the issues, challenges, and implications for practice. Transportation Research Part E: Logistics and Transportation Review, 114(3), 416-436.
Asociación de Profesionales para la Competitividad del Mecanizado (ASPROMEC) (2022) Comercio Exterior Importancia comercial del Sector para México. https://www.gob.mx/cms/uploads/ attachment/file/330048/TLCUEM_ficha_Metalme_canico.pdf
Asociación Mexicana de la Industria Automotriz (AMIA) (2022) Indicadores Internacionales Relacionados https://www.amia.com.mx/indicadores-internacionales-relacionados1/
Downloads
Published
December 7, 2023
Categories
Copyright (c) 2023 Gonzalo Maldonado-Guzmán, Sandra Yesenia Pinzón-Castro
License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Details about this monograph
ISBN-13 (15)
978-607-59567-6-3
doi
10.55965/abib.9786075956763.2023
