TY - GEN
T1 - Design an integrated intelligent equipment maintenance and production dispatching system using the jess platform
AU - Trappey, A. J.C.
AU - Trappey, C.
AU - Lin, G. Y.
AU - Ho, P. S.
AU - Ku, C. C.
AU - Kuo, C. L.
PY - 2006/12/1
Y1 - 2006/12/1
N2 - In modern factories, production equipment maintenance represents a significant and important task to ensure that plant facilities continue to function properly. On the other hand, intelligent production dispatching generates maximal outputs for changing production demands. In this research, a system architecture, called Integrated Intelligent Equipment Maintenance and Production Dispatching (IEMPD) building on the JAVA Expert System Shell (JESS), is designed and developed to support collaborative maintenance, remote equipment diagnosis, job dispatching, and production simulation/verification. The IEMPD system is applied for dynamic shop floor equipment maintenance and production control. In the past, trouble shooting analyses were based on the experiences and skills of equipment engineers. The IEMPD platform allows knowledge engineers to construct, manage and maintain rules easily and flexibly to satisfy ever-changing collaborative maintenance and production requirements. Through the rule base, maintenance knowledge and experiences can be created, accumulated, shared and reused. Thus, IEMPD can rapidly help maintenance engineers identify the faults and suggest solutions. Further more, IEMPD can assist production engineers plan dispatched jobs based on the orders and the equipment status. This research uses a machining flexible manufacturing system (FMS) as the case study to demonstrate the IEMPD capability in supporting integrated intelligent maintenance and production.
AB - In modern factories, production equipment maintenance represents a significant and important task to ensure that plant facilities continue to function properly. On the other hand, intelligent production dispatching generates maximal outputs for changing production demands. In this research, a system architecture, called Integrated Intelligent Equipment Maintenance and Production Dispatching (IEMPD) building on the JAVA Expert System Shell (JESS), is designed and developed to support collaborative maintenance, remote equipment diagnosis, job dispatching, and production simulation/verification. The IEMPD system is applied for dynamic shop floor equipment maintenance and production control. In the past, trouble shooting analyses were based on the experiences and skills of equipment engineers. The IEMPD platform allows knowledge engineers to construct, manage and maintain rules easily and flexibly to satisfy ever-changing collaborative maintenance and production requirements. Through the rule base, maintenance knowledge and experiences can be created, accumulated, shared and reused. Thus, IEMPD can rapidly help maintenance engineers identify the faults and suggest solutions. Further more, IEMPD can assist production engineers plan dispatched jobs based on the orders and the equipment status. This research uses a machining flexible manufacturing system (FMS) as the case study to demonstrate the IEMPD capability in supporting integrated intelligent maintenance and production.
KW - Expert system
KW - Intelligent equipment maintenance system
KW - JESS
KW - Knowledge system
KW - Production dispatching
KW - Rule base
UR - http://www.scopus.com/inward/record.url?scp=84871600408&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84871600408
SN - 1846285836
SN - 9781846285837
T3 - Proceedings of the 1st World Congress on Engineering Asset Management, WCEAM 2006
SP - 744
EP - 756
BT - Proceedings of the 1st World Congress on Engineering Asset Management, WCEAM 2006
Y2 - 11 July 2006 through 14 July 2006
ER -