Cloud computing is changing the ways software is developed and managed in enterprises, which is changing the way of doing business in that dynamically scalable and virtualized resources are regarded as services over the Internet. Traditional manufacturing systems such as supply chain management (SCM), customer relationship management (CRM), and enterprise resource planning (ERP) are often developed case by case. However, effective collaboration between different systems, platforms, programming languages, and interfaces has been suggested by researchers. In cloud-computing-based systems, distributed resources are encapsulated into cloud services and centrally managed, which allows high automation, flexibility, fast provision, and ease of integration at low cost. The integration between physical resources and cloud services can be improved by combining Internet of things (IoT) technology and Software-as-a-Service (SaaS) technology. This study proposes a new approach for developing cloud-based manufacturing systems based on a four-layer SaaS model. There are three main contributions of this paper: (1) enterprises can develop their own cloud-based logistic management information systems based on the approach proposed in this paper; (2) a case study based on literature reviews with experimental results is proposed to verify that the system performance is remarkable; (3) challenges encountered and feedback collected from T Company in the case study are discussed in this paper for the purpose of enterprise deployment.
This study proposes an innovative technology of Virtual COM Port Driver applied to the SaaS cloud manufacturing system, so that user can only via a web browser to complete all operations of system. Flexibility of the system extensions, and support manufacturing enterprise use other communications equipment at work, for example RFID products, GPS receiver. Information integration, solve each computer to be fitted Middleware to read native components and retrieve information for the inconvenience. This study proposes five-layer model of cloud manufacturing system, and through the virtualization web server to achieve cloud infrastructure layer. In particular, the Virtual Com Port Driver is deployed in the cloud infrastructure layer and middleware layer, and the signal device layer can communicate directly to the cloud infrastructure layer via the web browser. Through a case study, to implement the Virtual COM Port Driver technology to verify the cloud server can capture the local COM port successfully only via the web browser and integrate the information further.
Currently, many injection machine controllers in the market involve PC-based architecture, so engineers can conduct simple and quick operation on the controller via a human-machine interface. However, when there are too many machines in a factory, mining algorithms for multimachines and development of rear-end applications are often trivial and complicated. The operation systems of the machines in factories are different, and different machine models need different transfer protocols for data mining. Therefore, we need to develop different information platforms and machine production information mining systems for cross platform controllers. This research proposed an agent based remote monitoring system for injection machines to solve this problem. The agent-based production remote monitor system framework in this research has the following advantages. (1) It can transmit machine information cross platforms regard of constraints of different operating systems. Controlling frameworks can process data mining and transmission. (2) It can send back machine information actively to the manager without operation of machine operators, mine specific information effectively, and screen unnecessary machine information. (3) It can categorize the required information, filter extra information, and elicit data the user needs.
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