The chemical industry today is in transition, with increasing emphasis
on total quality control along with needs to meet even more stringent
levels of health, safety and environmental management. Fortunately, t
hese needs are being paralleled by major developments in process monit
oring and control instrumentation. Microprocessor-based process sensor
s, programmable electronic systems (PESs), and precision throttling va
lves make possible the implementation of complex process control strat
egies in DCSs where operators interact with the process through video
display human/machine interfaces. The automation of past, manual opera
ting tasks is justified under the umbrella of reducing the likelihood
of human errors. Although automation does reduce the sources of human
error in plant operations, these programmable control systems and soft
ware introduce new and different potential sources of error, leading t
o new implementation considerations. Many of the hazard identification
and risk assessment methodologies used today treat the process contro
l system as a 'black box'. Furthermore these methodologies are based o
n techniques that assume independence of failures. However, when PESs
are used for both regulatory and safety interlock controls, the possib
ilities for common mode failures and covert faults are greatly increas
ed over that demonstrated by older technologies. Data highways, common
software, central supervisory control computers and subtle deficienci
es in design all introduce new potential sources of shared failures. T
oday, achievement of plant safety is a systems issue [1]. Process haza
rd assessment and control requires an integrated analysis with inputs
from each of the disciplines involved in process design and plant oper
ation, as well as the guidance of safety and risk specialists. This pa
per presents an approach to total process safety assessment in which i
nstrumentation is applied as one means for risk mitigation. A methodol
ogy for reduction of hazardous event likelihood by using modern progra
mmable electronic monitoring and control systems is described, and app
lications of the methodology to industrial examples are presented. The
methodology applied is that documented in [2].