Management’s Role in Sustaining Continued Process Verification

Dec. 19, 2014
A CPV approach based only on statistical tools addresses only the operational level of the system; management needs to be involved

Ronald D. Snee, PhD, Snee Associates

A company gets a 483 warning letter which, among other things, criticizes the company’s continued process verification (CPV) approach. The observations include inadequate sampling plans, wrong statistical methods used, and company employees do not understand the statistical methods being used. Only a single quality engineer knows how the tools are being used.

So the company scurries about figuring out how to respond including the adoption of better procedures and more clearly explaining the methods being used. So what is the problem here? Who is at fault? The quality engineer? His supervisor? The plant manager? How should this situation be remedied?

The answer is: All of the above with the major portion the responsibility being that of management. Juran’s 85/15 rule says that 85 percent of the problem is in the system with the remaining 15 percent due to the people working in the system. Deming says that the blend is more like 94/6. The system in question is the CPV system. This entity is owned by management who is accountable for the effectiveness of the CPV system including; the design, execution and continued enhancement of the system.

Publication of the Process Validation Guidance by the U.S. Food and Drug Administration in January 2011 (FDA 2011) with its Stage 3 addressing “Continued Process Verification” has renewed Pharma and Biopharma’s s interest in process monitoring. Companies are working to implement guidance and FDA is assessing progress. There has been considerable discussion regarding what is required to implement and maintain a sustainable CPV system. The FDA document, as it should, provides guidance not a prescription for the system.

The stated purpose of CPV is to “demonstrate that the process is in a state of control” Operationally this means that we need to maintain process stability and capability over time – for the life of the product or process. A popular response to this need has been to install control charts and calculate capability indices. This is a step in the right direction. Control charts and process capability indices are indeed necessary but not sufficient.

If CPV is to be effective and serve its stated purpose it must be implemented as a system complete with a strategy and plan for implementation and sustainability throughout the lifecycle of the process and product. Many have learned the hard way that if one wants a system to be effective over a long period of time it’s prudent to have a management system in place to guide and sustain the system. This requires the active participation of senior management.

An important question is what should the CPV System look like? This of course, depends on the organization, process and product involved. At the strategic level CPV enables an organization to maintain process stability and capability over time, while equipping operational types to produce quality product, continually improve process, reduce costs and remain compliant. The strategic level should also contain some goal related to maintaining competitive advantage.

At the managerial level a procedure needs to be in place that calls for the periodic analysis, review, reporting and process improvements. Such an approach is based on the continual evaluation of process data and is done at various levels in the organization.

The operational level utilizes a variety of statistical tools such as control charts, data analytics and graphics and process variation studies to assess process performance and product quality as each batch is produced and batch to batch over time. Non-statistical tools such as failure modes and effects analysis are also used. These tools are linked and sequenced using documented procedures.

It has been known for ages that for a system to be effective and sustainable over time it must contain three levels of activity: 1) Strategic, 2) managerial and 3) operational. A CPV approach based on only statistical tools such as control charts and process capability indices addresses only the operational level of the system. When any of the levels of activity is missing CPV will become ineffective and fall into disrepair.

The ingredient that keeps any system operating effectively – the secret sauce - is management reviews. In CPV management reviews take place at several levels in the organization at different frequencies as summarized in Table 1.

Table 1

Periodic Review of Process Performance

The data reviewed and actions taken at each management level in the organization differs. In general, as the level of management increases in the organization the aggregation of the data increases, as does the time between reviews. We also see that management review is a “team sport.” Teams conduct the reviews at each organizational level. Each team plays a role in the overall review process.

Reviews are not a special event. Reviews should be an integral part of the regular management review process. A critical aspect of these reviews is the identification of the need for improvements and the assessment of recent improvement but in place. I recall a CEO admonishing his management staff to “schedule the reviews and show up. Good things will happen. In many cases you don’t have to say a word.” It is of course appropriate to ask questions and engage in discussion when needed.

Larry Bossidy, former COO of General Electric and Chairman of Honeywell notes that “Quarterly reviews help keep plans up to date and reinforce synchronization. They also give a leader a good idea about which people are on top of their businesses, which ones aren’t, and what the later need to do” (Bossidy and Charan 2002). I have seen management reviews work effectively to solve chronic problems. It is rare that a problem can long term withstand regular data-based review without being solved (Snee and Hoerl 2003).

Figure 1

Batch Production Monitoring System 

Figure 1 summarizes the critical pieces of the CPV system discussed above. Here we see process performance data regularly reviewed resulting in process adjustments to keep the process on target and process improvements to make needed changes to the process thereby enabling continual process improvement. This process is standard procedure, thus making the use of analytical tools an integral part of how the organization operates its processes. Further detail can be found in Snee (2010, 2011).

The improvement framework in the CPV System shown in Figure 1 is DMAIC (Define, Measure, Analyze, Improve, and Control). This framework is arguably the best available framework for improvement today and is broadly used around the world (Snee and Hoerl 2003). Other improvement frameworks can be substituted should an organization so desire.

As Juran and Deming have taught us management own the system. Management’s responsibility regarding the system includes the following:

• Facilitation of system design and development of the strategy for how CPV will be implemented and maintained by the organization
• Continual, clear communication of the purpose and value of CPV to the organization and the progress being made.
• Provide resources to support the CPV including, personnel, funding, training, coaching and counseling
• Leading periodic reviews of CPV which include reinforcement of desired behavior and recognition of good performance.

Through the review process leaders learn first-hand what is going on in the operation of their processes; what is working and what isn’t. It is also an opportunity to interact with their staffs on a real level discussing how the business is being operated rather than shaking hands during a “management tour.”

A CPV system as described above links very nicely to Quality by Design (QbD). When QbD is used in product and process development, process targets are selected and it is natural to question how the process will be held on target. CPV is a natural outcome of such thinking.

Product and process understanding developed by QbD enable effective process control. The process models, Y=f (X), developed by QbD enable the effective adjustment of the process back to target when the process control procedure detect the process drifting away from target. QbD can also be used to better understand the performance of legacy processes with the resulting understanding used to produce better process control and aid in creating the associated CPV system for the legacy process.

Bossidy, L and R, Charan (2002) Execution – The Discipline of Getting Things Done, Crown Business, New York, NY
FDA (2011) “Guidance for Industry - Process Validation: General Principles and Practices”, US Food and Drug Administration, January 11, 2011.
Snee, R. D. (2010) “Critical Considerations in Monitoring Process Performance and Product Quality”, Pharmaceutical Technology – Analytical Technology and Instrumentation, October 2010, 38-42.
Snee, R. D. (2011) “Using Quality by Design to Enable CMO Manufacturing Process Development, Control and Improvement”, Pharmaceutical Outsourcing, January/February 2011, 10-18.
Snee, R. D. and R. W. Hoerl (2003) Leading Six Sigma – A Step by Step Guide Based on the Experience With General Electric and Other Six Sigma Companies, FT Prentice Hall, New York, NY.
About the author:Ronald D. Snee, PhD is president of Snee Associates, a firm dedicated to the successful implementation of process and organizational improvement initiatives for the Pharma and Biotech Industries.

About the Author

Ronald D. Snee | PhD