TY - GEN
T1 - Manufacturing capability service modeling, management and evaluation for matching supply and demand in cloud manufacturing
AU - Lin, Ting Yu
AU - Xiao, Yingying
AU - Yang, Chen
AU - Liu, Xiaoliang
AU - Li, Bo Hu
AU - Guo, Liqin
AU - Xing, Chi
N1 - Publisher Copyright:
© Springer Science+Business Media Singapore 2016.
PY - 2016
Y1 - 2016
N2 - 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.
AB - 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.
KW - Cloud manufacturing
KW - Manufacturing capability
KW - Service evaluation
KW - Service management
KW - Service modeling
KW - Supply and demand matching
UR - http://www.scopus.com/inward/record.url?scp=84988867564&partnerID=8YFLogxK
U2 - 10.1007/978-981-10-2669-0_5
DO - 10.1007/978-981-10-2669-0_5
M3 - Conference contribution
AN - SCOPUS:84988867564
SN - 9789811026683
T3 - Communications in Computer and Information Science
SP - 35
EP - 48
BT - Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems - 16th Asia Simulation Conference and SCS Autumn Simulation Multi-Conference, AsiaSim/SCS AutumnSim 2016, Proceedings
A2 - Zhang, Lin
A2 - Song, Xiao
A2 - Wu, Yunjie
PB - Springer Verlag
T2 - 16th Asia Simulation Conference and SCS Autumn Simulation Multi-Conference, AsiaSim/SCS AutumnSim 2016
Y2 - 8 October 2016 through 11 October 2016
ER -