Leveraging New Tech to Boost Supply Chain Resilience

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The location of low-cost labor largely shaped today’s global supply chains. But that has changed dramatically in the past five years. Technology is finally ready to replace human labor across a broad range of supply chain activities, which will provide companies with more opportunities to operate where they choose and reduce their dependence on Asia.

Savvy companies are busily exploring how they can employ a host of new technologies to make their end-to-end supply chain much more resilient yet still competitively cost-efficient. Those that succeed will take an artificial-intelligence-plus-human intelligence (AI + HI) approach. They will revisit what customers really value and bring the supply chains for higher-margin products closer to home first.

The Current Challenge

Today’s global supply chains were designed to operate with high reliability, at the lowest possible cost, in a steady state environment. Unfortunately, supply chains have lately been unreliable (e.g., the microchip shortage) and expensive (e.g., higher labor, commodities, and ocean-shipping costs) — primarily because conditions have been anything but steady. Current geopolitical tensions between the Western democracies and the autocracies of Russia and China have led to calls for companies to reduce vulnerability by radically restructuring their far-flung supply chains — a strategy advocated by U.S. Treasury Secretary Janet Yellen.

Companies have long expressed interest in reshoring, near-shoring (switching to suppliers closer to the markets served), and friend-shoring (using suppliers located in countries with shared values) — all of which offer certain logistical, strategic, and brand image advantages. The principal obstacle has been labor costs, labor availability, and deep manufacturing expertise. The largest and most affordable pool of qualified manufacturing labor is in China and other Asian low-cost countries.


But advances in technology are starting to reduce these barriers.

New Technologies

Here are some of the developments that are beginning to make a difference. They are making it possible to locate affordable factories closer to home. They are also improving operations and reducing the time it takes to train workers from months to days on tasks such as assembling diverse products, electrical or mechanical, on the same assembly line.

AI + HI. The maturity of AI, particularly humans’ ability to use it, offers new ways out of the cost trap. Major advances in cobots — robots that directly interact with humans in manufacturing facilities combine AI and HI to lower the labor costs while retaining the value of human oversight.

3D printing. Advances in additive manufacturing (3D printing) are increasingly making it possible for companies to affordably produce a broad range of components and products. They are allowing them to shorten manufacturing processes in factories closer to home, reducing reliance on numerous and distant suppliers.

Recognition technology. In manual manufacturing processes, such as automobile engine assembly, AI-driven action recognition technology combines live video with analytics to ensure that workers are correctly following complicated steps without making errors. The result is better quality control, higher productivity, and datasets that can be used to improve processes.

Digital manufacturing solutions. These systems track product manufacturing across workstations, enable real-time input of data by workers, provide end-to-end traceability, and ensure that only high-quality parts move downstream.

Three-dimensional simulation. They include metaverse applications such as Nvidia’s Omniverse. They allow manufacturers to build digital twins of their processes and simulate factory layout, workstation design, and assembly design.

Logistics technology. Investment is pouring into this area — especially in tools for warehouse management, matching freight loads to transportation capacity, and cost-effective routing. The rate of investment by venture capital firms suggests that VC funding for “supply tech” will overtake that for fintech before the end of this decade.

To take full advantage of these labor-saving intelligent technologies, companies should begin by doing these three things:

1. Rethink what customers really value.

Start with deep analysis of what customers will want, where, and when. Many products are complex in ways that are not valued by consumers, but whose production is labor intensive — issues that mattered less when supply chains were stable and labor costs low. Recognizing this, some companies are moving toward making products in smaller batches that are keyed to refined customer preferences. Some are finding ways to adapt or redesign products for automated production without sacrificing perceived or effective end-user value.

Consider a manufacturer of industrial tools that had seen its products grow increasingly complex with many subcomponents such as motors, switches, controllers, and wiring and many raw materials such as resins, plastics, and copper. Before bringing manufacturing from Asia and closer to the preponderance of their customers’ locations in North America and Europe, the company took a hard look at what its customers really cared about. It found that, above all, users wanted a motor that lasted a long time and a tool that could survive in a harsh operating environment. The company was able to eliminate many of its products’ superfluous elements, making manufacturing easier to automate and less expensive while still delivering the attributes its customers desired.

2. Rebalance machine intelligence with human agency.

AI, analytics, and robotics can greatly reduce reliance on human effort to move products through value chains and do it with greater speed, reliability, and efficiency. But the goal should not be to remove human beings completely from processes; it should be to free them to do what they do best: make critical judgments based on their experience and expertise. For example, these technologies can allow workers to devote more time to investigating and learning from system failures and figuring out how to make the system more robust.

Consider a medical device manufacturer. In its industry, safety is the number one priority and getting the product to the customer rapidly is number two. There is tension between these priorities. Reshoring would help speed products to customers but increase labor costs. So the company adopted machine learning and state-of-the-art cameras to inspect for anomalies in the products and in the manufacturing process. The company’s best human experts then identify the causes.

3. Bring newer, higher-margin products closer to home first.

When companies first began moving manufacturing to low-cost countries, they usually focused first on their high-volume, lower-margin products. Now, as they relocate production closer to home and to customers, they should begin with their higher-margin products for three reasons.

First, because higher-margin products are often more complex (like medical devices), the use of the new technologies to produce them and manage their supply chains can generate the maximum benefits.

Second, in the face of today’s uncertainties in global supply chains, companies should take into account the risks of supply chain disruptions for all of their products and make the repatriation of those that deliver the highest return the priority.

Third, thin margins leave no financial room for experimentation, learning, and the initial capital expenditure needed to maneuver in a world of new technology and higher labor costs. As a result, it’s difficult to make the business case for a move, and companies remain paralyzed in place. But when relocation is considered in terms of the total amount of margin repatriated, instead of total cost savings, the business case becomes compelling. And as a company continually improves its manufacturing proficiency with higher-margin products, it can then turn its attention to relocating the manufacture of lower-margin products.

Admittedly, making all these changes will take time. Companies will not be able to drastically reduce their dependence on suppliers in China and other far-flung countries overnight. But by aggressively understanding the capabilities of these technologies and investing aggressively in them, companies will be able to bolster the resilience of their supply chains in the months and years ahead.

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