Home » Tunnell’s Philippe Cini on Pharma Operational Excellence
Tunnell’s Philippe Cini on Pharma Operational Excellence
By Agnes Shanley, Editor in Chief
PharmaManufacturing.com
Reducing inventories is important, but reducing the cost of quality offers far greater return on investment (ROI).
Editor's Note: A few months ago, we had calculated a “Lean Index” for pharmaceutical manufacturing based on inventories and cost of goods sold. We learned that most pharma companies appeared to be running inventory turns of 2 or less (Figure 1, below).

As a “reality check,” we spoke with Philippe Cini, Ph.D., vice president of Pharmaceutical Manufacturing Services at Tunnell Consulting, for his views on pharma operational excellence programs, and the roles that PAT and Quality by Design should play. Lean is important, Cini says, but reducing the cost of quality represents a significant financial opportunity, much greater than reducing inventory levels. He spoke about these issues late last year, at a conference in Toronto.
What follows is a conversation with Cini on PAT.
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PM — What is the best way for drug companies to measure true operational excellence? Is inventory turns a good metric, or is it too simplistic?
PC — The best approach is not to use one metric, but to take a balanced scorecard approach, using 5 to 10 different metrics to ensure that your performance is adequate. The word “balanced” is very important because you don’t want one metric to be so good that it offsets another. Consider inventory levels, for example, they cost money and many manufacturers want to reduce them as much as possible. But if they are reduced too much, it will result in shortages of needed products and poor customer service. Organizations need to set some equilibrium, some intermediate optimum level.
Within the plant, another good metric of use is how much of the product was “right the first time”; this is a good measure of quality. On a more granular level, you want to track number of deviations and number of investigations, number of rejected batches.
Figure 2. Click chart for larger image.
PM — How is the drug industry doing, overall, in terms of its “balanced score card?”
PC — Performance varies, but as a whole, it’s fair to say that companies with typical drug company metrics could not survive if they were operating in another industry with lower profit margins such as the chemical industry.
Figure 3. Click chart for larger image.
Because of high demand and high margins for its products, pharma still forgives some inefficiencies. However, the industry could significantly increase its current inventory turns if it were to change the technologies it uses and the way it approaches its overall supply chain.
For example, more manufacturing processes could be converted from batch to continuous. The supply chain could be redesigned to a “push/pull” model, in which one manufactures to a forecast to a certain point, then, in pull mode, make product to order, thus reducing inventory and increasing responsiveness to changes in the market. For such a model to become feasible, cycle times need to be compressed and information flow needs to be improved.
PM — Which are the best models from outside pharma?
PC — Consider Dell, which uses modular equipment. It makes a certain amount to stock, but uses modular equipment to make a finished product, and its inventory turns are over 90. If pharma can start mimicking this approach, it will be able to improve its inventory level situation. Of course, constraints must be in place for life saving drugs, where FDA sets specific requirements to protect the public from sudden shortages.
PM — Within pharma, which companies are the best Lean models?
PC — More companies are adopting Lean/Operational Excellence programs. J&J and BMS both have such programs that are well developed. They are not the only ones.
PM — Where are the most significant savings to be made in pharma OpEx today?
PC — There’s no question that reducing inventory is important and could save large pharmaceutical companies tens of millions of dollars. This is the order of magnitude we calculated.
However, the real savings come from reducing the total cost of quality.
Figure 4. Click chart for larger image.
If one were to implement a quality improvement program based on the principle of Right First Time, our calculations indicate that each one of the top 10 pharmaceutical companies would find that the inefficiencies in quality cost on average $1.5 billion, providing a much more dramatic opportunity for improvement.
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