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Preparing Supply Chains for Future Disruptions

While it’s hard to predict the timing and scope of an event like COVID-19, supply chains need to have the flexibility and foresight to prepare for the unexpected, and therefore prevent this type of large disruption from happening in the future. One way to ensure preparedness is to digitize supply chains with modeling and simulation technology so manufacturers can test real-world disruption scenarios that are otherwise impossible to imitate.

According to an April ISM Survey, COVID-19 has disrupted the supply chains of 95 percent of U.S. companies, and over 44 percent of these companies did not have a plan in place to manage such delays. This shows that companies still rely on legacy systems that lack the agility and optimization capabilities necessary to thwart the conditions of exceptional risks.


These legacy planning and scheduling solutions are simply outdated. With the majority requiring manual entry in spreadsheet programs, they are time-consuming, static, risk human error, non-collaborative and make it difficult to assign priority. All of these characteristics indicate an inability to adapt quickly, which is crucial when mitigating unexpected supply chain disruptions like a pandemic.

However, with the proper planning models, companies and their supply chains can be better prepared for a true crisis, and have better visibility into their regular operations across their network. For instance, by using modeling and simulation technology, businesses can simulate changes in labor availability or if the vendor supply is disrupted, and they can adjust raw material availabilities and determine how this affects the manufacturing process. Operators can simulate the crisis conditions of a sudden drop-off in demand and the steps required to return to “normal” while addressing pent-up demand. Or businesses can look at any number of day-to-day interactions with their supplier network, and can create more efficient plans that result in zero delays to work orders based on dynamic changes to multiple conditions. 

While COVID-19 is the most serious economic crises we’ve had to manage in recent memory, it will not be the last unexpected crisis to occur. Businesses with cumbersome supply chain and logistics operations should see 2020 as the tipping-point to finally upgrade from static and manual tools to a dynamic digital platform  that supports agile and adaptive planning processes. With these tools, organizations can model new scenarios and optimize the strongest, most efficient path forward.

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How to evaluate blockchain for your supply chain

In 2015, blockchain (the technology that makes digital currencies such as bitcoin work) was starting to be explored as a solution for supply chains. It promised cost savings, increased efficiency, and heightened transparency, among other benefits. For that reason, many companies were happy to run pilots testing blockchain for themselves. Today, these small-scale projects have been replaced by large-scale enterprise adoption of blockchain-based supply chain solutions. There are plenty of choices now for blockchain supply chain products, platforms, and providers. This makes the option to use blockchain available now to nearly everyone in the sector. This wealth of choice does, however, make it more difficult to decide which blockchain integration is best (or, indeed, if your organization needs to use it at all). To find the right blockchain, companies need to consider three factors: cost, sustainability, and the ultimate goal of trying new technology.

Choosing the right blockchain for an enterprise supply chain begins with the most basic consideration: cost. Blockchains work by securely recording “transactions,” and in a supply chain, those transactions are essentially database updates. However, making such updates has varying costs on different chains. If a container moves locations, that entry is updated, and a transaction is recorded. Enterprises need to figure out how many products, containers, or pieces of information they will process daily. Each of these can be considered a transaction. Now, some blockchains cost not even $1 to record a million movements. Other chains can cost thousands of dollars for the same amount of recording. Understanding the amount of activity you will need to record against the cost of transactions is the first place for an enterprise to start when considering blockchain. Ask the provider which blockchain their product is built on, and its average transaction cost. This will help you find the most cost-effective product or integration.

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An illustration of five trucks connected by lines and hubs to give the appearance of a network.

An advanced transportation management system can help with route optimization, real-time tracking, multimodal management, and predicting potential supply chain challenges.

Georgii courtesy of Adobe Stock

How an advanced TMS optimizes supply chain performance

A transportation management system (TMS) is a critical tool for all supply chain and logistics practitioners. It provides shippers, third-party logistics companies (3PLs), and fourth-party logistics providers (4PLs) with the visibility they need to manage the supply chain and optimize the movement of products and goods. There are various types of transportation management systems, and while using a basic TMS is better than no TMS at all, advanced transportation management systems offer enhanced functionality and can scale with you as your business grows.

Getting the right TMS in place can have considerable benefits, as a TMS helps with planning and executing the movement of goods on a comprehensive level, which aids in reducing the risks of disruptions at every point in the supply chain. Companies that better manage risk will see significant savings. Data from the supply chain risk intelligence company Interos found that of the organizations they surveyed in 2021, the average organization lost $184 million in global supply chain disruptions. Similarly, a McKinsey study found that, within 10 years, the cost of supply chain disruptions adds up to nearly half of a company’s profits.


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A rusty blue chain crosses in front of blue, red, and yellow containers.

Labor strikes can stop supply chains in their tracks unless companies take steps to build up resiliency.

huntspy via Adobe Stock

Strikes and labor negotiations highlight need for resilient supply chains

Strikes and potential strikes have plagued the supply chain over the last few years. An analysis of data from the Bureau of Labor Statistics by the Economics Policy Institute concluded that the number of workers involved in major strike activity increased by 280% in 2023 from 2022. Currently, the U.S. East Coast and Gulf Coast ports are facing the threat of another dockworker strike after they return to the negotiating table in January to attempt to resolve the remaining wage and automation issues. Similarly, Boeing is continuing to contend with a machinists strike.

Strikes, or even the threat of a strike, can cause significant disruptions across the global supply chain and have a massive economic impact. For example, when U.S. railroads were facing the threat of a strike in 2022, many companies redirected their cargo to avoid work stoppages and unhappy customers. If the strike had occurred, it would have had a massive economic impact. The Association of American Railroads (AAR), estimated that the economic impact of a railroad strike could be $2 billion per day.

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An illustration of a campaign button that says, "Supply Chain Issues" lays on top of a U.S. flag.

Supply chain professionals should be aware of how the different policies proposed by the U.S. presidential candidates would affect supply chain operations.

Jon Anders Wiken via Adobe Stock

Assessing the U.S. election impact on supply chain policy

For both Donald Trump and Kamala Harris, the revival of domestic manufacturing is a key campaign theme and centerpiece in their respective proposals for economic growth and national security. Amid the electioneering and campaign pledges, however, the centrality of supply chain policy is being lost in the shuffle. While both candidates want to make the supply chain less dependent on China and to rebuild the American industrial base, their approaches will impact manufacturing, allied sectors, and global supply chains much differently despite the common overlay of protectionist industrial policy.

Both Trump’s “America First” and Harris’ “Opportunity Economy” policies call for moving home parts of supply chains, like those that bring to market critical products like semiconductors, pharmaceutical products, and medical supplies, and strengthening long-term supply chain resilience by discouraging offshoring. Harris’ economic plan, dubbed the “New Way Forward,” aims to close tax loopholes, strengthen labor rights, and provide government support to high-priority sectors, such as semiconductors and green energy technologies. Trump’s economic plan, dubbed “New American Industrialism,” emphasizes tariffs, corporate tax cuts, and easing of regulations.

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AMRs and a drone operate in a warehouse environment. Overlaid are blue lines and data indicating that they are all connected digitally.

Future warehouse success depends on robot interoperability.

Image created by Yingyaipumi via Adobe Stock.

The Urgent Call for Warehouse Robotics Interoperability

Interest in warehouse robotics remains high, driven by labor pressures and a general desire to further automate distribution processes. Likewise, the number of robot makers also continues to grow. By one count, more than 50 providers exhibited at the big MODEX show in Atlanta in March 2024.

In distribution environments, there is especially strong interest in autonomous mobile robots (AMRs) for collaborative order picking. In this application, the AMR meets pickers at the right inventory location, and the workers then place picks in totes on the robot, which then moves on to another location/picker or off to packing, greatly reducing human travel time.

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