基于改进NSGA-III的网络协同制造服务分包方法研究

Service Subcontracting Method Based on Improved NSGA-III for Network Collaborative Manufacturing

摘要:

网络协同制造是传统纺织行业转型升级的重要路径，针对核心的服务分包问题，提出了一种基于改进NSGA-III的调度优化方法，以订单的生产成本、总完工时间、生产质量、客户满意度和资源利用率为优化目标，建立了网络协同制造模型；在NSGA-III算法的基础上，结合了SPSA算法，提出一种具有更强局部搜索能力和收敛能力的模型求解算法，并基于层次分析法和熵权法的组合赋权法从Pareto解集中选择最适合的方案；通过标准算例的对比分析，结果显示改进的NSGA-III算法在收敛性和解的多样性方面均优于NSGA-II和NSGA-III算法；通过具体的网络协同制造算例，验证了所提方法的有效性和优越性。

Abstract:

Network collaborative manufacturing is an important path for the transformation and upgrading of the traditional textile industry. For the core service outsourcing problem, a scheduling optimization method based on an improved NSGA-III algorithm is proposed. The optimization objectives include production cost, total completion time, production quality, customer satisfaction, and resource utilization. A network collaborative manufacturing model is established. On the basis of the NSGA-III algorithm, the Simultaneous Perturbation Stochastic Approximation (SPSA) algorithm is combined to propose a model-solving algorithm with stronger local search capability and convergence ability. The most suitable solution is selected from the Pareto optimal set using a combined weighting method based on Analytic Hierarchy Process (AHP) and Entropy Weight Method (EWM). Through comparative analysis with standard test cases, the results show that the improved NSGA-III algorithm outperforms NSGA-II and NSGA-III in terms of convergence and solution diversity. The effectiveness and superiority of the proposed method are verified through specific network collaborative manufacturing cases.