Supply Chain Network Resilience

 

Supply Chain Network Resilience

 

Supply chain network digitization has become a  key factor in supply chain resilience with the need driven in large part by VUCA resulting in waves of disruption across markets.   The number of companies seeking approaches to measure and benchmark their digital infrastructure and processes is growing as a result. In order to achieve the improvements necessary to support the demand it is important to incorporate tools that can assess, and perhaps most importantly, monitor the benefits and challenges resulting from the digitization process itself.  This is another variation on a continuous improvement program and requires the same methods and practices to achieve the digitization objectives and benefits.  It is important to review and validate modifications because of the relationships between multiple digitization initiatives and their combined benefits and challenges.  

Kearney’s Resilience Stress Test “Strategic Options To Build Resilience”, assesses supply chain resilience outside of the common disaster scenario capability and capacity planning to be able to rapidly flex, or repurpose, assets, across your extended supply chain network to be able to respond to unanticipated supply shocks, such as trade wars, major weather events, or permanent shifts in demand.  The dimensions of this stress test framework include: geography; planning; suppliers; inbound transportation; manufacturing; outbound distribution; product portfolio and platform; and financial/working capital.

In order to be successful the framework monitoring must be spread widely across all supply network points, and processes, as well as those of suppliers and partners, initially starting with critical processes and partners, with a focus on measuring the degree of digitalization and capabilities in each of these factors. These digitization capabilities and processes include using IoT sensors in logistics or fulfilment operations, robotic process automation in production or distribution, and analytics and machine learning in production centers, inventory management, and financial capital management.  As a starting point, the initial evaluation provides the baseline that should be used to monitor and measure progress and must be developed to support monitoring across your extended supply network.

This is where automated control tower software can and should be utilized to support a process that will continuously monitor the network.  Ideally, this control tower solution would be capable of alerts and even prescribe how to resolve issues as well as actually resolving issues automatically as they occur.  The challenge in the extended supply chain network is caused by the velocity of disruption experienced across your network.  These disruptions can occur with such speed and spread across your network partners that it becomes impossible to perform the necessary analysis and adjustments to react and address the disruption in a timely manner.  It is not enough to identify after the fact because of the potential damage to your business.  The velocity of the disruption and the potential impact requires immediate response and this can be achieved by a robust software solution that spans the supply chain network.

Tom Brouillette

Contact: tom.brouillette@gmail.com

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Tom Brouillette discusses supply chain trends and provides strategic business & technology advice to his followers and companies.