Process modeling methodologies have become widely used in defining and
analysis of manufacturing systems. Two specific types of models, func
tional analysis and process flow descriptions, are frequently discusse
d in the literature. However, most published work presents the basic c
oncepts, industrial applications, and critiques of various methodologi
es. One drawback often cited is that, beyond preliminary ad hoc analys
is, process models are seldom used. Furthermore, the lack of quantitat
ive information in models prevents more detailed and interesting analy
sis. This paper adapts traditional system reliability methods to manuf
acturing and design process modeling. The logical relationships betwee
n activities in the process are used to quantify the overall reliabili
ty of the system and identify high-risk paths of decisions in the proc
ess. The concepts of path sets and cutsets are then used to identify c
ritical activities and decision points. The analysis is illustrated wi
th an industrial case study. (C) 1996 John Wiley & Sons, Inc.