RT Journal Article
SR Electronic
T1 A Risk Index and Data Display for Process Performance in the Pharmaceutical Industry
JF PDA Journal of Pharmaceutical Science and Technology
JO PDA J Pharm Sci Technol
FD Parenteral Drug Association (PDA)
SP 188
OP 198
DO 10.5731/pdajpst.2017.008177
VO 72
IS 2
A1 Bert Gunter
A1 Daniel Coleman
A1 Aaron Goerke
A1 Theo Koulis
A1 Jens Lamerz
A1 Yiming Peng
YR 2018
UL http://journal.pda.org/content/72/2/188.abstract
AB We propose a new index and graphical display for quantifying and visualizing process performance in the pharmaceutical industry. These tools can provide management a comprehensive, high level overview of the process performance of a global manufacturing network suitable for risk ranking, by which is meant: identifying those processes at greatest risk of failing to meet specifications, and prioritizing resources to drive continuous process improvement. Our index, like others currently in use, compares the observed variation of CQAs—critical quality attributes—to their specifications. However, instead of relying on traditional data summaries such as means and standard deviations to characterize process results, the proposed index uses sample quantiles. Quantiles are more accurate and reliable when data are skewed or short-tailed as is often observed for pharmaceutical processes. Perhaps just as important, we communicate the results with a new visual display that accurately compares processes and sites. The display identifies instances when the summaries may mislead and the subject matter expert needs to “drill down” into manufacturing data to assure correct understanding.LAY ABSTRACT: The proposed risk index and graphical display enables high-risk processes to be identified, process improvements to be prioritized, resources to be efficiently allocated, and strategic planning for continuous process improvement to be evidence-based.