An agent-oriented methodology is presented for representation, acquisition,
and processing of manufacturing knowledge along with analysis and modeling
of an intelligent manufacturing system (IMS). An intelligent manufacturing
system adopts heterarchical and collaborative control as its information s
ystem architecture. The behavior of the entire manufacturing system is coll
aboratively determined by many interacting subsystems that may have their o
wn independent interests, values, and modes of operation. The subsystems ar
e represented as agents. An agent's architecture and task decomposition met
hod are presented. The agent-oriented methodology is used to analyze and mo
del an intelligent machine cell. An intelligent machine center is considere
d as an autonomous, modular, reconfigurable and fault-tolerant machine tool
with self-perception, decision making, and self-process planning, able to
cooperate with other machines through communication. The common object requ
est broker architecture (CORBA) distributed software control system was dev
eloped as a simple prototype. A case study illustrates an intelligent machi
ne center.