This paper applies the methodology developed previously to quantify th
e contribution of process data to performance measures. It describes a
refinery case study in which measurements are ranked according to the
cost-effectiveness of their contribution to improving refinery perfor
mance measures. This provides a means. of evaluating the cost effectiv
eness of data collection, data analysis and estimation procedures on a
particular refinery unit. The work is of direct benefit to the refine
ry as it provides an aid for making business decisions on the procedur
es involved in the determination of a: plant's performance. An example
of such a decision would be investment in instrumentation since measu
rements make: an important contribution to the estimation of performan
ce parameters. (C) 1998 Published by Elsevier Science Ltd. All rights
reserved.