Building the agile supply chain: planning for recovery and beyond

Future planning and forecasting is critical

All manufacturing businesses have learned a host of lessons from the crisis. At a high level, the first is not to neglect the importance of future planning. The crisis has disrupted international supply chains, suspended business operations and significantly decreased revenues. To ensure longevity and the ability to operate in the future business environment, organisations need to prepare and adapt quickly to continually changing external unpredictable influences.

Forecasting relies on historic data and presumes the future is similar to the past. With the current crisis, the future is going to be unpredictable and therefore using recent historic data is unlikely to provide an accurate guide of what is likely to happen down the line. Alternative models will need to be developed to provide more accurate forecasting. The adoption of machine learning algorithms that can be trained with relatively small amounts of historic information, as well as new types of data feeds being captured in real-time, are likely to be instrumental in making this happen.

At a more granular operational level, organisations have learned the need for continuous flexibility and adaptability. Businesses dependent on offshore production should consider moving some manufacturing onshore or closer to their core markets. This will allow them, for example, to spread the risk across suppliers.

A new imperative for digital

Advanced digital technologies are crucial in enabling manufacturers to rapidly adapt or change their operating model. Smart businesses currently operating a sophisticated digital infrastructure were able to adapt quickly and pivot their business to satisfy new customer channels and products. The ability to access real-time data enables businesses to improve their forecasting and decision-making rapidly.

Digital technologies also support improved and alternative forecasting methods including “what if’ scenario modelling using both internal and external data sources. This may involve adapting forecast models and updating them to reflect a changed world.

Predictive analysis, statistical and probability modelling techniques, behaviour analysis, machine learning and data mining techniques are all capable of analysing current and historical facts to make future predictions.

Taking the long view – strategic shifts that the crisis will drive  

In planning for the longer term, businesses must be aware of economic change. That means asking a number of important questions:

• Are we in the right markets and selling the right products?
• What skills do we need in order to pivot to alternative products, or new markets?

Businesses must be prepared to evaluate the resilience of their end-to-end supply chain, working both up and down the chain with customers and suppliers, sharing data and providing more insights. This should involve working with suppliers beyond Tiers 1 and 2.

Linked to this is the need for a full-scale lockdown exit strategy. Again, there is a lot to consider. Businesses will need to gauge, for example, how staff can best return to workplaces while maintaining social distancing protocols, and if these proposed measures are sustainable. Assessing the impact on productivity, costs and corporate culture are all crucial considerations.

Businesses must also consider developing a digital strategy with a robust digital backbone reimagining how they can increase their online presence, create alternative channels and develop new customer channels. They should also consider how they can become more agile and flexible within the supply chain, and able to switch to alternate/new suppliers if required.

Through this phase, it is key to focus on effective people management and good clear communications. Businesses should invest in training, ensuring their employees understand the changes in the business, how they are likely to affect them directly and what they need to do to ensure they remain efficient and productive in the new normal.