## 4 Results and Discussion  
This study utilized the Analytic Hierarchy Process (AHP) to identify the relative importance of key factors that enhance the efficiency and reliability of the 5G ceramic antenna manufacturing process through the integration of blockchain and smart contract technologies. The results, summarized in Figure 8, present the relative weights of the elements within the B-SER-M model: 'Subject' (S), 'Environment' (E), and 'Resources' (R). The 'Subject' factor (S) is assigned a weight of 0.465, marking it as the most influential component in the manufacturing process. This factor encompasses both the human and systemic aspects of manufacturing, including workforce expertise, decision-making efficiency, technology implementation, and management practices. Key components under this factor are the manufacturing company itself, supply chain partners, quality verifiers, and technical service providers. The dominant weight of this factor indicates the critical impact of human and systemic elements on the manufacturing process, highlighting the importance of addressing human-induced defects and improving efficiency through focused management of the 'Subject' element. The 'Resources' factor (R), with a weight of 0.310, ranks as the second most critical element. This factor encompasses all the tangible and intangible assets necessary for the production of 5G ceramic antennas, including physical resources like facilities and materials, human resources such as labor and expertise, technical resources involving specialized equipment and technology, financial resources for funding, and informational resources that provide strategic data and insights. The multifaceted consideration of these resources in our AHP analysis reflects their crucial role in the production process. The 'Environment' factor (E) is given a weight of 0.225, denoting its role as an external influence on the manufacturing process. This factor includes a range of external elements such as industry standards and regulations, market trends, economic environments, technological advancements, socio-cultural factors, and political conditions. Although it has the lowest weight among the three, its importance lies in its encompassing nature, affecting various aspects of the manufacturing process. The distribution of these weights provides a strategic framework for stakeholders in the 5G ceramic antenna manufacturing sector, emphasizing the importance of enhancing human capital ('Subject'), effectively managing resources ('Resources'), and navigating the external manufacturing landscape ('Environment'). In addition, Table 6 of our study presents critical metrics for verifying the consistency of the AHP analysis, such as the consistency index (_CI_), Consistency Ratio (_CR_), and the maximum eigenvalue (\(\lambda_{\text{max}}\)), along with their calculated values. These measures are crucial  
Figure 8: Relative weights of factors in the B-SER-M model for enhancing 5G ceramic antenna manufacturing efficiency and reliability using AHP. The pie chart illustrates the proportional significance of ‘Subject’ (0.465), ‘Environment’ (0.225), and ‘Resources’ (0.310) factors, with ‘Subject’ being the most influential in reducing human-induced defects and improving cost savings and production efficiency. for ensuring the reliability of the AHP method. In our approach, eigenvectors derived from the pairwise comparison matrices of individual surveys were utilized to determine the weights. These eigenvectors are pivotal as they translate the comparative judgments into quantifiable weights, reflecting the relative importance of each factor. The degree of consistency of these judgments was then calculated based on the corresponding eigenvalues, a standard procedure in the AHP to assess the rationality of the pairwise comparisons. For aggregating the weights across multiple surveys, we employed the geometric mean method.