The economy and rationality of the typical structural scheme for asphalt pavement are directly related to the formation of its service target. Based on the original highway asphalt pavement structure in Jilin Province, the evaluation index system was established by the research of the literature, investigation and Delphi method, and the results of expert consultation were tested by indicators such as enthusiasm, authority and coordination. The Kendall coordination coefficient was 0.803, indicating a strong degree of evaluation consistency. Then, using the finite element method and pavement economic analysis method, the key parameters of pavement structure asphalt, pavement design performance and economy are calculated. Finally, the key indicators in the pavement design process are quantified by using analytic hierarchy process (AHP) and gray relational theory, the weight of each key indicator and the correlation degree of the pavement structure are calculated, and pavement structure 1 is determined to be the best solution. The results show that a decision model for typical structural types of asphalt pavement can be established by using an improved gray relational analytic hierarchy process. In this study, the decision-making model can quickly and conveniently determine the most suitable typical pavement structure, the selected structures are checked, and the calculation results meet the requirements of the specification. However, given the limited reference cases, the proposed pavement structure decision-making method needs to be verified and improved through more practical applications.

To address the low production efficiency and insufficient cross-enterprise collaboration in wallboard outsourcing for coating equipment manufacturing, this study proposes a wallboard manufacturing service composition optimization method based on an improved NSGA-III algorithm. First, the service composition optimization problem in wallboard manufacturing is analyzed, and a mathematical model for wallboard outsourcing service composition optimization is established. Next, an improved NSGA-III method integrating Latin hypercube sampling, greedy local search, and Lévy flight-based global search strategies is proposed, alongside a similarity measurement method for the objective-space structure based on statistical features and distribution differences, which is used to select benchmark functions that closely match the characteristics of actual business data. Finally, comparative experiments using benchmark functions and real-world business data are conducted to verify the effectiveness and superiority of the proposed method in solving service composition optimization problems. The experimental results demonstrate that the proposed method achieves excellent performance in both solution quality and computational efficiency, significantly improving the utilization of wallboard outsourcing manufacturing resources across enterprises and facilitating efficient business process flows.