A Bi-Level Programming-Based Method for Service Composition Optimization of Collaborative Manufacturing of Sewing Machine Cases
Year: 2025
Type: article
Abstract: Aiming at the problem of difficult decision-making of manufacturing resource composition optimization in part-level outsourcing of sewing machine case manufacturing, this paper proposes a service composition optimization method based on bi-level programming. We analyze the structure and production process of sewing machine cases, determine the required service composition of manufacturing resources, and establish the evaluation index system of manufacturing service composition in line with the interests of multiple parties; introduce the idea of bi-level programming, and construct the optimization model of manufacturing service composition of sewing machine cases based on bi-level planning; we analyze the characteristics of NSGA-Ⅱ algorithm and the improvement strategy, and complete the solution of the optimization model of manufacturing service composition of sewing machine cases to achieve the combination optimization of the manufacturing services of the machine cases. The combination optimization model of sewing machine case manufacturing services is solved to realize the combination optimization of machine case manufacturing services. The experimental results show the effectiveness and superiority of the combination optimization method and algorithm improvement strategy in solving the combination optimization problem of sewing machine case manufacturing, and the combination optimization of sewing machine case cooperative manufacturing services is realized.
Source: Machines
Authors: Gan Shi, Shanhui Liu, Keqiang Shi, Langze Zhu, Zhenjie Gao, Jiayue Zhang
Institution: Xi'an University of Technology
Language: English
Subfield: Management Information Systems
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $2,896
OpenAlex ID: W4408034840