In a service-oriented networked manufacturing (SONM) environment, geographically distributed manufacturing resources are encapsulated as various manufacturing services. These manufacturing services release via the Internet and can provide services on the demand of manufacturing tasks. Usually one manufacturing task needs several different services belonged to different organizers to work together. Hence, effective cooperation among services is the foundation of the efficient operation of SONM. In this paper, a bipartite network model is presented to describe the relationship of two different kinds of nodes in SONM, and also is projected as a weighed network for further exploring the behaviors of service nodes. Furthermore, an agent-based model is built for modeling the interactive behaviors of service nodes in a cooperative network and an agent-based simulating system is developed with Repast. The simulation results show that the emergence of cooperative behaviors among service nodes is related to both the cost of cooperation and initial trust of services in the SONM environment.
|Original language||English (US)|
|Title of host publication||Manufacturing Equipment and Systems|
|Publisher||American Society of Mechanical Engineers|
|State||Published - 2017|
|Event||ASME 2017 12th International Manufacturing Science and Engineering Conference, MSEC 2017 collocated with the JSME/ASME 2017 6th International Conference on Materials and Processing - Los Angeles, United States|
Duration: Jun 4 2017 → Jun 8 2017
|Name||ASME 2017 12th International Manufacturing Science and Engineering Conference, MSEC 2017 collocated with the JSME/ASME 2017 6th International Conference on Materials and Processing|
|Conference||ASME 2017 12th International Manufacturing Science and Engineering Conference, MSEC 2017 collocated with the JSME/ASME 2017 6th International Conference on Materials and Processing|
|Period||6/4/17 → 6/8/17|
Bibliographical noteFunding Information:
The authors would like to acknowledge funding support from the National Natural Science Foundation Committee of China under Grant No. 51475347, the Major Project of Technological Innovation Special Fund of Hubei Province Grant No. 2016AAA016, the Excellent Dissertation Cultivation Funds of Wuhan University of Technology No. 2016-YS-062, as well as the contributions from all collaborators within the projects mentioned. We would also like to thank Wuhan University of Technology, People’s Republic of China in supporting this work.
© Copyright 2017 ASME.
- Agent-based model
- Bipartite network
- Evolutionary game theories
- Network projection
- Service-oriented networked manufacturing