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Research on Manufacturing Resources Optimal Allocation Strategy of 3D Printing Cloud Service Platform

机译:3D打印云服务平台制造资源最优分配策略研究

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In order to realize the optimal allocation of collaborative manufacturing resources for 3D printing cloud service platform, a solution for manufacturing resource optimization bi-level programming is proposed. Based on the analysis of the process of 3D printing innovation manufacturing tasks and the characteristics of 3D printing manufacturing methods, considering the interests of customers and the interests of the enterprise comprehensively, the company's manufacturing capabilities are used to reflect the interests of customers, and formulas for formulating the manufacturing capabilities of enterprises and the economic benefits of enterprises are proposed and constructed. The manufacturing resources are optimized for a bi-level planning model. The simulated anneal arithmetic is used to solve the optimal model. Taking an model car manufacturing task on the platform as an example, the feasibility and effectiveness of the method are verified.
机译:为了实现3D打印云服务平台的协同制造资源的最佳分配,提出了一种制造资源优化双级编程的解决方案。基于分析3D打印创新制造任务的过程和3D印刷制造方法的特点,考虑客户的利益和全面的企业利益,公司的制造能力用于反映客户的利益和公式为制定企业的制造能力和企业的经济利益,并建成。制造资源针对双级规划模型进行了优化。模拟的退火算法用于解决最佳模型。以平台上的模型汽车制造任务为例,验证了该方法的可行性和有效性。

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