Industrial Dataspace for smart manufacturing: connotation, key technologies, and framework

Smart manufacturing is a popular concept for smarter decision-making and more efficient production. Although distributed methods for data management and processing in smart manufacturing have many advantages such as low cost of adaptation and convenience for local database, some methods are hard to manage variable data sources and discover proper range of data for smart decision-making. Therefore, Dataspace is considered in this article to be a feasible and effective method. From the relation-defined perspective of utilisation of industrial Big Data, the contribution is a novel industrial Dataspace design with static structure and working flow paths for smart manufacturing. In design, the industrial Dataspace platform has been proposed to accommodate smart manufacturing characteristics with the intelligence of pay-as-you-go, like harnessing distributed heterogenous data from industrial enterprises, understanding industrial data by ontology or knowledge, corelating the data with smart applications, and enabling related decisions. A further analytical case in Surface Mounting Technology manufacturing of welding procedure is provided to illustrate the execution of customisation, focused and related decision support, and system evolution within industrial Dataspace.

Automated summary

Smart manufacturing is a popular concept that focuses on smarter decision-making and increasing production efficiency. This article proposes the use of Dataspace as a feasible and effective method to manage data in smart manufacturing. The contribution of this research is the design of an industrial Dataspace platform that accommodates the characteristics of smart manufacturing, such as harnessing distributed data, understanding industrial data through ontology or knowledge, and enabling related decisions. An analytical case in Surface Mounting Technology manufacturing is provided to demonstrate the customization and decision support offered by industrial Dataspace.