TY - GEN
T1 - A semantic web service and simulation framework to intelligent distributed manufacturing
AU - Son, Young Jun
AU - Kulvatunyou, Boonserm
AU - Cho, Hyunbo
AU - Feng, Shaw
PY - 2005
Y1 - 2005
N2 - To cope with today's fluctuating markets, a virtual enterprise (VE) concept can be employed to achieve the cooperation among independently operating enterprises. The success of VE depends on reliable interoperation among trading partners. This paper describes a framework based on semantic web of manufacturing and simulation services to enable business and engineering collaborations between VE partners, particularly a design house and manufacturing suppliers. To this end, we first give an overview of distributed manufacturing in the web service framework, including detailed activity and information flow diagrams. Second, we propose an ontological definition of resource models and process-capability models using an ontology definition language. Third, we propose a method based on stochastic discrete-event simulation, whose model is automatically generated from the resource and process models, to evaluate highly nonlinear process plans. Finally, we present a prototype system to demonstrate an interoperable collaboration using semantic webs.
AB - To cope with today's fluctuating markets, a virtual enterprise (VE) concept can be employed to achieve the cooperation among independently operating enterprises. The success of VE depends on reliable interoperation among trading partners. This paper describes a framework based on semantic web of manufacturing and simulation services to enable business and engineering collaborations between VE partners, particularly a design house and manufacturing suppliers. To this end, we first give an overview of distributed manufacturing in the web service framework, including detailed activity and information flow diagrams. Second, we propose an ontological definition of resource models and process-capability models using an ontology definition language. Third, we propose a method based on stochastic discrete-event simulation, whose model is automatically generated from the resource and process models, to evaluate highly nonlinear process plans. Finally, we present a prototype system to demonstrate an interoperable collaboration using semantic webs.
UR - http://www.scopus.com/inward/record.url?scp=33645958880&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33645958880&partnerID=8YFLogxK
U2 - 10.1115/IMECE2005-82362
DO - 10.1115/IMECE2005-82362
M3 - Conference contribution
AN - SCOPUS:33645958880
SN - 0791842231
SN - 9780791842232
T3 - American Society of Mechanical Engineers, Manufacturing Engineering Division, MED
SP - 1473
EP - 1474
BT - American Society of Mechanical Engineers, Manufacturing Engineering Division, MED
T2 - 2005 ASME International Mechanical Engineering Congress and Exposition, IMECE 2005
Y2 - 5 November 2005 through 11 November 2005
ER -