Advancing green entrepreneurship through Industry 4.0 technologies: An analysis of sustainable manufacturing and logistics optimization
Ivelina Kulova, Valentina Nikolova-Alexieva, Kostadin Peev
- 发表年份
- 2024
- 引用次数
- 1
- 访问权限
- 开放获取
摘要
The study explores the role of Industry 4.0 technologies in fostering green entrepreneurship. It examines the integration of advanced technologies such as artificial intelligence (AI), machine learning, the Industrial Internet of Things (IIoT), and robotics into manufacturing processes. The primary goal of the study is to assess how these technologies can enhance production sustainability, optimize supply chains, and reduce the environmental footprint of logistics. The study employs a qualitative analysis of existing literature, case studies, and statistical data, providing a comprehensive assessment of the impact of these technologies on sustainable manufacturing and green entrepreneurship. The results indicate that Industry 4.0 technologies significantly contribute to sustainable manufacturing by reducing waste and improving energy efficiency. Despite the significant benefits, challenges such as high initial costs for smart equipment, the need for reliable data networks, and increased customer demands hinder the widespread adoption of these technologies. Industry 4.0 technologies offer unprecedented opportunities for enhancing sustainability and supporting green entrepreneurship. Realizing these opportunities requires collaborative efforts among businesses, governments, and stakeholders to ensure balanced economic development and environmental conservation.
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
Genetic Programming: On the Programming of Computers by Means of Natural Selection
John R. Koza
1992