Cloud Manufacturing (CMfg), a new manufacturing paradigm, enables an opportunity for manufacturing enterprises to respond to a wide variety of demands. The CMfg concept integrates the distributed resources and capacities in a shared economy, transfers them to the virtual manufacturing services with various quality of service (QoS) properties. These services are invoked to collaborate in producing customized demands with specific functional and non-functional properties. The operational perspective of the service-demand matching problem is considered more in the literature; however, it is a challenging problem in the CMfg ecosystem. This paper evaluates the service-demand matching problem from a structural perspective to facilitate resilience and configurable system working well in the operational interactions. Therefore, a CMfg hyper-network-based model is proposed which is enriched with QoS properties. It employs the available capacities in all small and medium enterprises (SMEs) and large companies. The service-demand matching problem is a complex issue; so, it is impossible to analyze it with the current approaches. Here, the CMfg structure is examined through topological characteristics. It helps decision-makers to provide a robust and resilient service-demand matching model. It also proposes some investment opportunities for the SME. The proposed model and its capabilities are discussed through a real case study about the COVID-19 ventilator manufacturing systems in CMfg ecosystem.

云制造 (CMfg) 是一种新的制造范式，为制造企业提供了应对各种需求的机会。CMfg 概念整合了共享经济中的分布式资源和能力，将它们转移到具有各种服务质量 (QoS) 属性的虚拟制造服务中。这些服务被调用以协作产生具有特定功能和非功能属性的定制需求。文献中更多地考虑了服务需求匹配问题的操作角度；然而，这是 CMfg 生态系统中的一个具有挑战性的问题。本文从结构角度评估服务需求匹配问题，以促进弹性和可配置系统在操作交互中良好运行。所以，提出了一种基于 CMfg 超网络的模型，该模型富含 QoS 属性。它利用了所有中小型企业 (SME) 和大型公司的可用能力。服务需求匹配问题是一个复杂的问题；因此，以目前的方法无法对其进行分析。在这里，通过拓扑特征检查 CMfg 结构。它帮助决策者提供强大且有弹性的服务需求匹配模型。它还为中小企业提供了一些投资机会。通过有关 CMfg 生态系统中 COVID-19 呼吸机制造系统的真实案例研究，讨论了所提出的模型及其功能。服务需求匹配问题是一个复杂的问题；因此，以目前的方法无法对其进行分析。在这里，通过拓扑特征检查 CMfg 结构。它帮助决策者提供强大且有弹性的服务需求匹配模型。它还为中小企业提供了一些投资机会。通过有关 CMfg 生态系统中 COVID-19 呼吸机制造系统的真实案例研究，讨论了所提出的模型及其功能。服务需求匹配问题是一个复杂的问题；因此，以目前的方法无法对其进行分析。在这里，通过拓扑特征检查 CMfg 结构。它帮助决策者提供强大且有弹性的服务需求匹配模型。它还为中小企业提供了一些投资机会。通过有关 CMfg 生态系统中 COVID-19 呼吸机制造系统的真实案例研究，讨论了所提出的模型及其功能。