Manufacturing capability service modeling, management and evaluation for matching supply and demand in cloud manufacturing

Abstract

Currently, the manufacturing sector faces challenges brought by the global technological revolution and industrial revolution. Cloud manufacturing can be of great help to break the traditional pattern of static enterprise resource configuration through the on-demand provision and consumption of manufacturing capability (MCap), and thus optimize industrial chains and improve competitiveness. Comparing to the traditional e-commerce, matching supply and demand of MCap will require the consideration of complex conditions, such as static and dynamic attributes of MCap services, scalability of domain attributes of heterogeneous MCap services, and other characteristics (e.g., multiple stakeholders and multi-round competition) in the open and dynamic environment of social manufacturing. To address the above demand, we propose meta-models for MCap service description, an approach to the management of MCap services based on the data model “EAV” and the enterprise search platform “Solr”, and an approach to the evaluation of MCap services based on the dynamic composition & screening. Finally, those methods have been implemented in a cloud manufacturing platform for an aerospace conglomerate, and the results show their effectiveness.