Track: Automation and Control

Abstract

The recent manufacturing encapsulates the globally distributed enterprise resources which requires advanced technologies i.e., Internet of things, cloud computing, semantic web and service-oriented technologies to establish the effective global manufacturing network. This hinders issues of heterogeneous product information related to multi-disciplinary domains, which make the knowledge within documents irreconcilable. This paper presents, an automatic feature recognition based cloud service platform for a distributed manufacturing environment, which enables the networks to enhance the interoperability by seamless exchange of information. The proposed architecture acts as an integrated approach that consists of a three layers namely physical resource layer, local server layer, and cloud layer as services to meet the requirements of real time distributed manufacturing environment. Moreover, the most effective tools and techniques such as transfer protocols, ontology, heuristics, meta-heuristics, World Wide Web (www), and extensible markup language (xml) has been used to develop and implement the proposed cloud manufacturing platform. The integrated solution proposed in this paper can push forward this new paradigm from concept to practice for optimal service recommendation.