In the continuous process industries, multiple grades of the same prod
uct are often made on the same production equipment. Key product prope
rties for each grade are usually monitored separately because of inher
ent differences among grades. Although highly effective in detecting c
hanges that affect individual grades such as changes in grade-specific
raw material properties, this approach is usually slow in detecting c
hanges common to all grades such as a drift caused by production equip
ment or changes in common raw materials. The case study of this paper
illustrates a simple method of combining and monitoring data from mult
iple grades allowing speedy detection of changes affecting all grades
and yet still permitting differentiation of overall process shifts fro
m grade-specific shifts.