# Advanced Manufacturing Technologies: Development and Prospect
## 2 Overview of Published Articles  
In their study, [PERSON] et al. (1) investigated the implementation of a 5G digital twin (DT) in warehouse logistics, emphasizing dynamic network monitoring and cybersecurity. Their study highlighted the role of network function virtualization (NFV) in securing IoT devices through advanced encryption standards (AES). The utilization of simulation tools such as Altair Feko and GNS3 demonstrated the potential of digital twins to enhance communication capabilities within warehouse environments. [PERSON] et al. (2) propose a model that integrates electricity cost consumption and power demand into aggregate production planning, addressing market uncertainties and the rising costs of electricity. Applied in the food industry, the model utilized the Holt-Winters forecasting method and successfully optimized power demand, reducing workers labor and achieving cost savings while minimizing overall production expenses. A methodology for determining the optimal number of grinding operations in cold rolling, with the objective of reducing labor intensity and improving processing efficiency, was developed by [PERSON] et al. (3). The findings of the present study contribute to the refinement of industrial grinding techniques. [PERSON] and [PERSON]'s (4) investigation into the coefficient of friction in screw joints revealed that lubrication significantly reduces friction. The study found that copper-based grease yielded the most significant reduction in friction, with a recorded 47.64% decrease. This outcome demonstrates the efficacy of copper-based grease in enhancing the efficiency and stability of the joints. [PERSON] (5) conducted an investigation into the difficulties of using laser profilometry for roughness measurements on glossy surfaces. The study concluded that while non-contact laser methods provide useful data, they are less reliable for high-gloss materials like stainless steel and aluminum alloys. [PERSON] et al. (6) explored the role of mobile applications in supporting SMEs' transition to Industry 4.0. Their study highlighted how digital tools facilitate workforce adaptation, process optimization, and sustainable business development in manufacturing enterprises. [PERSON] et al. (7) explore the optimization of combined wind-solar power plants for sustainable smart city development. To enhance energy efficiency and stability, the study proposes using autonomous renewable energy sources instead of traditional power grids. The research highlights the benefits of integrating a vertical Darier rotor with photovoltaic converters, improving heat dissipation and maximizing energy output. Through digital aerodynamic modeling, the study identifies optimal design parameters for wind turbines and a photovoltaic module tilt for a particular location, ensuring efficient energy utilization in urban environments. Surface quality is a pivotal factor in determining the functionality and lifespan of machined components. [PERSON] et al. (8) proposed an efficient method for evaluating surface roughness using a secondary surface roughness standard. Their study identified a uniform distribution law for measurement uncertainty assessment and optimized measurement parameters such as evaluation standards, measurement speed, and cut-off filters. The findings of this study are instrumental in reducing measurement uncertainty while minimizing financial costs. In their study, [PERSON] et al. (9) proposed an incremental learning model using the YOLO framework to improve tire bubble defect detection via digital shearoography. The efficacy of this approach was evidenced by the attainment of 98% detection accuracy, thereby addressing the limitations of conventional quality control methodologies and providing a foundation for automation in the context of tire manufacturing. [PERSON]' et al. (10) analyze the impact of technological parameters on the tribological properties of 3D-printed polyetherimide (PEI) models using the fused filament fabrication (FFF) technique.