Performance management of communication networks is critical for speed
, reliability, and flexibility of information exchange between differe
nt components, subsystems, and sectors (e.g., factory, engineering des
ign, and administration) of production process organizations in the en
vironment of Computer Integrated Manufacturing (CIM). The objective is
to improve the efficiency in handling various types of messages, e.g.
, control signals, sensor data and production orders, by on-line adjus
tment of the parameters of the network protocol. This paper presents c
onceptual design, development, and implementation of a performance man
agement procedure for CIM applications. The performance management alg
orithm is formulated using the concepts of: (i) perturbation analysis
of discrete event dynamic systems; (ii) stochastic approximation; and
(iii) learning automata. The performance management procedure has been
tested via emulation on a network testbed that is based on the Manufa
cturing Automation Protocol (MAP).The conceptual design presented in t
his paper offers a step forward to bridging the gap between management
standards and users' demands for efficient network operations since m
ost standards such as ISO and IEEE address only the architecture, serv
ices, and interfaces for network management. The proposed concept for
performance management can also be used as a general framework to assi
st design, operation, and management of flexible manufacturing systems
.