D-RISC

Measuring Disruption Risk for Supply Chains

Countries around the world are adopting measures to stop the spread of COVID-19. But many of those measures, such as mandatory home confinement, restricted movement of goods and people, and even social distancing are wreaking havoc on the world’s supply chains. Some shipments are getting out, some are not, some are just collecting dust.

To make matters worse, everywhere is different - a difference that ultimately reflects a unique confluence of variables at country level: from the source of API, to the prevailing disease burden, to mitigation strategies in effect within and between countries. So how, amidst this web of determinants, can one even guess at the riskiness of a pending shipment, let alone make decisions based on that knowledge?

By triangulating data from multiple health-, policy-, transport- and supply sources, D-RISC reduces the guesswork in gauging risk. And that, in turn, makes informed decision-making easier. It can help procurers offset riskier orders with more certain back-ups and it can help manufacturers prioritize which orders to fill.

D-RISC’s new public interface, enables users to estimate “shipment risk” by factoring in variables (health, policy, transport, etc.) with the potential to impede movement along the total journey or “supply lane” from manufacturer to consumer. Users can also fine-tune results by adjusting the relative weight of each risk variable for each country along the “supply lane”.  

D-RISC’s new public interface, enables users to estimate “shipment risk” by factoring in variables (health, policy, transport, etc.) with the potential to impede movement along the total journey or “supply lane” from manufacturer to consumer.

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