Pharmaceutical Technology - January 2024

Pharmaceutical Technology - January 2024

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PharmTech.com Regulating Innovation, Quality, and Risk eBook January 2024 Pharmaceutical Technology ® 41 Qualit y the "opportunity costs" of undependable operations. Some efforts have been made in the pharmaceutical industry to evaluate the benefits (77, 103, 104, 105,106, 107, 108) of upgrading technology, but more efforts are needed to ensure that the costs and benefits are fully accounted for and the opportunity is not missed to demonstrate the value of modernization. Ultimately, by reviewing detailed ROI models from various industries, best practices can be gleaned that may assist in creating a more comprehensive model for assessing pharmaceutical quality ROI. Summary Our landscape analysis of quality-related and techno- logical literature from various industries review has confirmed it is possible to demonstrate the financial benefits of enhanced manufacturing capability and reliability. However, this concept has not been well devel- oped by the pharmaceutical industry. Therefore, we propose that a pharmaceutical-specific quantitative model is needed to better demonstrate how improved manufacturing reaps quality benefits while also in- creasing profits (109). Further research should evaluate the quality and business synerg y linkages in the pharmaceutical industr y, with a focus on the long-term financial outcomes f rom investing in a more robust manu- facturing infrastructure. Special attention should be given to how more capable technologies compare to less capable options, and how ROI models can be improved to analyze these options. The practices of organizations who improve pharmaceutical man- ufacturing capability, and those that maintain the status quo, could also be explored to better under- stand the facilitators and barriers to manufacturing infrastructure improvement. Acknowledgments The authors would like to acknowledge the sage ad- vice and encouragement of Peter Doukas, PhD, Pro- fessor Emeritus and former Dean of Temple Univer- sity School of Pharmacy, Wendy Lebing, Assistant Dean of Temple School of Pharmacy, and Lucinda Buhse, PhD, Deput y Director of Operations in the Office of Pharmaceutical Quality in FDA/CDER. Disclaimer This paper reflects the views of the author and should not be construed to represent FDA's views or policies. References 1. Wo o d c o c k , J. T h e C o n c e p t o f P h a r m a c e u t i- ca l Qu a l it y. A me r ican Phar maceut ical R e v ie w. 2004. ht t ps://w w w.resea rchgate.net/prof i le/ J a n e t-Wo o d c o c k- 2 / p u b l i c a t i o n / 2 7 9 5 7 7 3 4 3 _ T h e _ c o n c e p t _ o f _ p h a r m a c e u t i c a l _ q u a l i t y/ l i n k s/5 a 6 9 e 0 1 e a c a 2 7 2 8 d 0 f 5 f 2 7 f 3/ T h e - c o n - cept-of-pharmaceutical-quality.pdf 2. DiFeo, T. J. ( Safety and Efficacy: The Role of Chem- istry, Manufacturing, and Controls in Pharmaceu- tical Drug Development. Drug Development and In- dustrial Pharmacy, 2004 30(3), 247-257. https://doi. org/10.1081/DDC-120030428 3. Zu, X.; Fredendall, L. D.,; and Douglas, T. J. The evolving theory of quality management: The role of Six Sigma. Journal of Operations Management, 2008 26(5), 630-650. ht t ps://doi.org/10.1016/j. jom.2008.02.001 4. Ramak rishnan, B.; Sandborn, P.; and Pecht, M. Process capability indices and product reliability. Microelectronics Reliability, 2001 41(12), 2067-2070. https://doi.org/10.1016/S0026-2714(01)00227-X 5. Joseph, L. A.; Watt, J. T.; and Wiggleswor th, N. Modeling and analysis of a new product develop- ment in electronic sub-assembly manufacturing. 1990 Winter Simulation Conference Proceedings. 899- 903. https://doi.org/10.1109/WSC.1990.129633 6. Guleria, P.; Pathania, A.; Bhatti, H.; Rojhe, K.; and Mahto, D. Leveraging Lean Six Sigma: Reducing Defects and Rejections in Filter Manufacturing In- dustry. Materialstoday: Proceedings. 2021 https:// doi.org/10.1016/j.matpr.2021.03.535 7. Arvanitoyannis, I. S.; and Varzakas, T. H. Applica- tion of Failure Mode and Effect Analysis (FMEA), Cause and Effect Analysis and Pareto Diagram in Conjunction with HACCP to a Potato Chips Man- ufacturing Plant. International Journal of Food Sci- ence & Technology, 2007 42(12), 1424-1442. https:// doi.org/10.1111/j.1365-2621.2006.01361.x 8. Raman, R. S. and Basavaraj, Y. Quality Improve- ment of Capacitors through Fishbone and Pareto Techniques. International Journal of Recent Technol- ogy and Engineering, 2019 8(2), 2248-2252. https:// doi.org/10.35940/ijrte.B2444.078219 9. Ph i l l ips, J. a nd Si m mond s, L . Usi ng Fishbone Analysis to Investigate Problems. Nursing Times, 2013 109(15), 18-20. https://pubmed.ncbi.nlm.nih. gov/23696993/ 10. Picarillo, A. P. Introduction to Quality Improve- ment Tools for the Clinician. Journal of Perinatology, 2018. 38, 929-935. https://doi.org/10.1038/s41372- 018-0100-4 11. FDA, Guidance Document Q 9(R1) Quality Risk Man- agement (CDER, CBER, May 2023). 12. Consumer Reports, www.consumerreports.org (ac- cessed Jan. 22, 2024). 13. Thwink.org. Glossary - Causal Chain. Thwink.org. (2014). https://www.thwink.org/sustain/glossary/ CausalChain.htm 14. FDA. Guidance for Industr y: Q10 Pharmaceutical Quality System (CDER , CBER 2009). https://w w w.

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