During World War 2, the United Kingdom faced supply chain disruptions as severe and unpredictable as we are experiencing today. To solve this problem they established the Shadow Scheme, creating one of the first examples of distributed manufacturing.
According to this plan, they built dozens of Shadow Factories, both above and underground, keeping them secret from the Axis powers. They converted farmland, hills and golf courses to production locations. They opened factories near areas that had lost jobs so that people could work. The goal was to spread their manufacturing out among as many facilities as possible, as far away as possible, so that, if one was incapacitated, they could keep production going. After all, if all Spitfire crankshafts were produced in one facility and that facility was destroyed, then that would mean the end of Spitfire production.
The plan was a resounding success. By 1938 they were producing their first complete aircraft through a distributed network of facilities spread across the British Empire. The Shadow Factories kept Britain’s manufacturing capacity strong throughout the war, no matter what was thrown at them.
Now, we face a similar problem: what happens if a centralized facility is incapacitated by COVID-19, a hurricane or civil unrest?
Distributed Manufacturing
Distributed manufacturing is the process whereby products or parts of products are made by many separate partners, spread out across geographically diverse areas, coordinated by a common communications and information system.
While hub-and-spoke manufacturing will never completely go away, fully relying on just-in-time supply chains is no longer dependable. Shipment and distribution of material, goods and food can and will be disrupted by this pandemic, climate change—maybe more. This is on top of the environmental damage that international shipping and mass-consumption of disposable plastic goods causes.
With the rise of digital technologies we can build a distributed network to produce 3D-printed parts, circuit boards, laser-cut components, etc. more easily than ever before. By spreading the manufacturing load across many different people in many different places, we can turn the tide and ensure that, no matter what happens, we can keep producing vital goods. Shipping cost and complexity can actually go down in this system if goods are produced closer to their final place of consumption and if the only thing that’s shipped is raw materials.
Quality Assurance
Probably the most challenging issue facing distributed manufacturing systems is how to ensure quality, especially if you’re opening up your platform to everyone from individuals to large companies.
For example, how do you ensure a 3D-printed object from an individual maker at home is up to the same quality standards as what comes out of a professional 3D printing house? Or a circuit board, laser-cut part, etc?
One way is to ensure that the computer code used to produce each part is unchanged between orders. Once the manufacturer is approved to produce, they cannot use a different set of instructions from order to order.
Ok, so that’s the process, but how do you track lot numbers, production runs, etc?
If you want to see how one organization is answering these questions and more, Multimakers has recently launched a crowdfunding campaign on Kickstarter to raise funds for developing a distributed manufacturing platform and certifying two COVID-19 masks designed from the ground up to be produced in a distributed manner. Check it out here by clicking here.
Conclusion
COVID-19 has disrupted our way of life in unprecedented ways. 3D printing and other elements of the maker movement have come to the forefront in this crisis as ways to rapidly scale manufacturing capacity. But, until now, even these herculean efforts are working at less than maximum capacity. It’s only by networking and joining together that we can create a sustainable pattern for producing goods in an increasingly tumultuous world. With distributed manufacturing we can unlock the true power of digital manufacturing.
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