Integration of Ontologies to Support Control as a Service in an Industry 4.0 Context

摘要

To fit the renewed globalized economic environment, enterprises, and mostly SMEs (Small and Medium-sized Enterprises), have to develop new networked and collaborative strategies, focusing on networked value creation (instead of the classical value chain vision), fitting the blue ocean context for innovative products and service development. Even if collaborative organizations such as virtual enterprises, collaborative networks ... have been studied for decades [1], [2], [3], the closer connection of information systems involved by the so-called “Industry 4.0” developed by leading industries in Europe, US and Asia requires to set new IT models to support agile and evolving collaborative Business Process (BP) enactment, integrating both traditional Information Systems (IS) and production. By now, these product/service ecosystems are mostly supported by software services, which span multiple organizations and providers, and on multiple cloud-based execution environments, increasing the call for openness, agility, interoperability and trust for both production and Information System organization. On one hand, these IS requirements can be partly fulfilled by SOA, Web 2.0 and XaaS technologies and Business models (taking advantage of service selection and composition), whereas the development of service-based execution platforms can be worthy adapted to the multi-cloud context. Nevertheless, a lack of interoperability is a major braking force to the wide adoption of these collaborative organizations. On the other hand, control information traditionally managed by Manufacturing Execution Systems must be extended to integrate various data provided by IoT devices and to provide accurate data exchange to coordinate collaborative production processes. To overcome these limits, we propose a service-based control model to describe CPS, providing an adapted ontology to integrate them as resources in collaborative BP to support the Industry 4.0 digital transformation.