RISK
ASSESSMENT MEASUREMENT
SCLRC, Q1 2010
NEWSLETTER
The Coca-Cola
Company’s John Brown discusses the metrics of supply chain risk measurement
with a defined and consistent terminology these days since the publication of
ISO 31000 last November. He refers to the process with the language employed in
the standard, ‘risk assessment and risk treatment monitoring.’
The
significance, to hear him describe it, is considerably more than semantic.
“A typical
approach has been to treat business continuity as the core concern and look at
supply chain risks as a factor embedded within that. In reality, business continuity planning and
management is a treatment for the risk of business interruption. Companies basing their supply chain risk
management around business continuity are attentive mostly (if not exclusively)
to internal factors they can control within their own value chain. But as we
know, external risks also impinge on the supply chain.
“We’ve
flipped the order. It’s a fundamentally
different way to approach supply chain risk.
Now, in conjunction with looking at factors inside the value chain, you
also look at factors outside the company’s four walls: social, political,
public opinion, changes in government regulation, changes
in business stability. Then you look at
how these impact business continuity, as well as other
aspects of supply chain risks: security,
legal and regulatory compliance, etc.”
The
consequences of this change are expected to heavily impact both the analysis
and on-going measurement of supply chain risk.
For starters, it presumes a dynamic approach with relationships and
situations in constant flux. “In the Coca-Cola
system,” for example, “we look at risk events along two dimensions: the
likelihood they will occur and the consequences of what happens if they
do. The challenge is to develop metrics
that can assess both factors, likelihood and
consequence.”
Measuring the
likelihood factor in the supply chain risk equation is the more challenging
and, in terms of objective measurement (rather than subjective intuition),
remains at a rudimentary level. For many
supply chain risks there is a lack of historical data upon which to determine a
calculated likelihood. “We must rely on judgment with the implicit
understanding that we become better over time at estimating likelihood.”
Tim Astley, Principal Strategic Risk Consultant at Zurich,
concedes the difficulty of anticipating such things as natural disasters but
suggests some basic areas that can lend themselves to monitoring: “We’re looking for preliminary measures that
provide advance warning,” he notes.
To that end,
Zurich has recently undertaken with the University of Manchester (Great
Britain) School of Business to begin tracking a broad range of events
triggering supply chain disruption. The
intent is to gather sufficient data to compile actuarial probabilities of such
events occurring. “The top four causes found in the first research were
accidents, production breakdowns, labor problems and insufficient skills,” Astley notes.
In evaluating
supply chain risk, Zurich looks at five broad areas:
While
acknowledging that currently a universal supply chain risk is supplier
insolvency, Astley underscores that “it is important
to ensure a balanced scorecard so that undue attention is not given to just one
risk area.”
“Having the
method and tools to map out supply chains is a huge task,” admits The Coca-Cola
Company’s John Brown. But he takes hope in a multi-year project recently
initiated by M.I.T. to establish just such a
framework.