Supplier quality management (SQM) is, at its core, a compliance risk-mitigation strategy within the overarching strategy of
quality risk management (QRM). I think sometimes, however, the emphasis becomes too focused on the compliance risk associated
with the execution of the supplier quality-management program itself and we need to remind ourselves that one of the most
fundamental compliance risks SQM is designed to mitigate is product failure. The effectiveness of SQM in mitigating the risk
of product failure, however, is directly related to how well you understand the impact the material supplied has on product
quality. Absent that, one could have an SQM program that is fully compliant in its execution and yet ineffective in preventing
J. Paul Catania
Application of quality by design (QbD) in product development and/or postdevelopment product/process characterization combined
with effective knowledge management have proven to be a highly cost-effective approach to rigorously connect raw material
characteristics to product critical quality attributes. Integrating these tools and tactics into your supplier quality-management
system can appear a daunting task, but the payoff is well worth the effort. Not only will you be able to focus supplier management
on the right issues, you won't squander your resources and those of your suppliers focusing on things unimportant to product
At one point in my career, I accepted a managerial rotation assignment in which I moved from manager of pharmaceutical manufacturing
to lead the procurement group. As part of a review of overall sourcing strategy, my new team identified a supplier from whom
we purchased a basic excipient as a potential target for negotiation or replacement because their cost seemed out of line.
Dialog with the supplier revealed that the cost differential was being driven by our specification that the product be packaged
in paper bags of an unusual size. Ironically, from my previous job, I knew that handling, opening, and loading those paper
bags into granulators was not only time consuming, but we also ended up putting partial bags back into the warehouse because
their weight wasn't an even multiple of our batch size. Having the supplier switch to providing the material in totes eliminated
the purchase-cost differential and reduced our conversion cost. We had essentially been paying a supplier extra money to provide
us with something we did not need.
So, what does this have to do with QbD, product knowledge, and supplier quality management? Having a supplier maintain tight
control over a characteristic that isn't really important to the quality of your product often drives extra cost which they,
naturally, pass on to you. Incoming quality control and supplier quality management efforts to ensure they meet the unnecessary
specification add to the overall conversion cost. Worse, when achieving the specification is difficult for the supplier, compliance
risk increases because, unnecessary or not, failure to meet the specification is a deviation.
Meanwhile, in the absence of process characterization rigorously linking raw-material characteristics to product quality,
you risk under-specifying something whose negative impact you would gladly pay your supplier extra to avoid, and on which
focusing supplier quality-management resources makes good business and compliance sense.
Consider the basic supplier quality-management consideration of multiple versus sole sourcing. A colleague recently reminded
me of Deming's preference for sole sourcing. After all, the resultant variability of multiple suppliers can't be any less
than the most variable among them, and the probability is that the composite variability will be greater than any of them
alone. Meanwhile, the cost to manage each of them is incremental. When the risk of supply interruption is unacceptably high,
however, the incremental supplier-management cost of qualifying another supplier is justified. Ironically, even when the secondary
supplier is duly audited and qualified, when finally utilized, supply continuity is often jeopardized by unexpected deviations
in product quality.
Even though the secondary supplier's product meets all the specifications, the centering or variability of some characteristic
to which the process is sensitive isn't the same as that of the primary supplier and, therefore, isn't the same as what was
used to develop and validate the process. Sometimes, it's a characteristic never previously identified as important and for
which you currently don't even have a specification. Far more often, it's a specified characteristic whose variability has
more impact on product quality than previously understood.
The risk of this quality deviation happening is higher in products developed using traditional three-batch validation. However,
it can occur even in products developed using QbD, particularly when developed using raw material from only one supplier because
suppliers are only shipping product within specifications and attempting to minimize variability. Consider a supplier who
your supplier quality-management team has qualified against specifications. The supplier's natural process capability may
result in the value of a critical-to-quality characteristic being centered to one side of the specification but within a narrow
enough range that what it produced generally meets the specification. When it doesn't, it sells it to an alternate industry.
Often, suppliers are unwilling or even unable to produce material much outside their normal process capability. So, the product
knowledge initially developed using a given supplier's material will often be narrower than what you need to push the limits
of your design space. Over time, however, there will probably be instances in which you will receive lots inside your specification
but outside your original design space, particularly as you seek to qualify secondary suppliers. Effective knowledge management
will allow you to identify and integrate these lots into your design space and expand it.
The key message here is that for these risk-management strategies to effectively inform supplier quality management, product
and process understanding can't be viewed as a once-and-done static event completed during initial product development. Rather
it must dynamically evolve and grow over the entire course of a product's lifecycle. This growth is particularly important
when it comes to supplier quality management because your supplier's processes, like yours, are subject to process variability
and drift. Gathering and analyzing data on an ad hoc basis to characterize a process in reaction to product failures is sometimes unavoidable. More and more, however, the benchmark
practice is to recognize and support the total lifecycle evolution of product and process knowledge through proactive development
of knowledge-management systems designed to dynamically integrate raw material and product release testing data with data
within manufacturing batch records.
The good news is that whether or not your product was developed using QbD, where it is in its lifecycle, or how sophisticated
your current knowledge-management system, it's never too late to characterize processes and develop product and process knowledge
you can leverage to mitigate risk and focus resources to maximize cost effectiveness in supplier quality management and in
QRM overall. We have seen organizations quickly and significantly reduce risk and cost through process characterization in
reaction to product failure. Proactive characterization and knowledge management is just as effective at reducing risk and
costs far less because it isn't initiated by a product deviation crisis. Moreover, a knowledge-management system need not
be a complex and expensive information systems undertaking. When the true value of integrating data already being generated
is demonstrated through these ad hoc characterizations, organizations often identify simple ways to leverage what they learned on an on-going basis.
If you don't want to wait for product failure to catalyze action, an overall portfolio risk assessment will inform your priorities
vis-à-vis which products you target first for characterization. This can be as simple as a review of product, process, and testing
deviations to identify the products which give you the most trouble. Given the connection between SQM and product knowledge,
a holistic approach that includes an understanding of overall supplier capability versus critical-to-quality attributes is
the way to go. Along the way, your organization will not only gain product knowledge that can be leveraged to reduce both
risk and cost, you will inevitably discover opportunities to connect and leverage information already being generated and
begin to build the foundation of your knowledge-management system.
J. Paul Catania is a managing consultant at Tunnell Consulting, firstname.lastname@example.org