Many small and medium-sized manufacturing enterprises (SMEs) have already implemented enterprise resource planning (ERP) and manufacturing execution system (MES) and began to start the journey of cloud manufacturing; however, the high cost of hardware and software investment, implementation, and maintenance usually hinder SMEs from adopting an advanced planning and scheduling (APS) system. This paper aims to develop a cloud-based APS (C-APS) system framework, the service structure, and approach of deploying the C-APS system in a public cloud infrastructure platform and service provider or hybrid cloud platform. The package diagram is proposed for building the C-APS system's virtual factory model to improve modeling efficiency and data stability. The C-APS system is a cloud-based and object-oriented software; its simulation-based scheduling engine can generate the significant production and operations schedule, and has the characteristics of on-demand self-service, quickly expanding and adjusting to the virtual plant model. The C-APS system's application in a leading automotive part assembly company's printed circuit board production scheduling shows that the input planning data model is easy to maintain. The scheduling quality is high; the computing time is short and acceptable for practical application.

许多中小型制造企业（SME）已经实施了企业资源计划（ERP）和制造执行系统（MES），并开始了云制造的旅程。但是，硬件和软件投资，实施和维护的高昂费用通常会阻碍中小企业采用高级计划和排程（APS）系统。本文旨在开发基于云的APS（C-APS）系统框架，服务结构以及在公共云基础架构平台和服务提供商或混合云平台中部署C-APS系统的方法。提出了用于构建C-APS系统的虚拟工厂模型的包装图，以提高建模效率和数据稳定性。C-APS系统是基于云的面向对象的软件。其基于仿真的调度引擎可以生成重要的生产和运营调度，并具有按需自助服务的特点，可以快速扩展和调整为虚拟工厂模型。C-APS系统在一家领先的汽车零件组装公司的印刷电路板生产计划中的应用表明，输入计划数据模型易于维护。调度质量高；计算时间短，对于实际应用是可以接受的。印刷电路板的生产计划表明，输入计划数据模型易于维护。调度质量高；计算时间短，对于实际应用是可以接受的。印刷电路板的生产计划表明，输入计划数据模型易于维护。调度质量高；计算时间短，对于实际应用是可以接受的。