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Making individual parts for repair is not the only
remote-manufacturing option opened up by the above innovations. 3D printers can
sinter structures into being from the ground up, CNCs can carve them out of a
block of material, and RepRaps can manage multiple aspects of manufacturing.
But putting items together made up of multiple parts that must be bolted,
nailed, welded or otherwise joined together may take more skill, object
recognition and insight than existing programs can supply. Again, limited human
intervention can form the bridge that brings these disparate elements together.
Remote manufacturing would still involve using existing or downloaded programs
to handle most of the labor-intensive work traditionally managed by machines –
the 3D scan used as a model by the CNC or 3D printer, for example, or the basic
blueprints for the product itself. But with the ability to harness the skills
of workers from any location, and have them take control of industrial robots
or humanoid robots on site means that even without the intervention of any
humans physically present (if any), they could complete the final stages of
construction of all items that did not absolutely require a dedicated assembly
line designed specifically for that product. And as the above technologies
improve, there will be fewer and fewer products meeting that description.
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Remember, as CNC and 3D printing technology improve, many
brick and mortar stores will be able to house machines that can turn blocks of
metal, plastic and other raw materials, or powders or wires of these materials,
into very basic products such as screws, bolts, plastic ware, pots and pans,
etc. But many other products are just a few pieces put together. For example, a
simple hand tool is often just the metal tool with a plastic or wooden handle.
The precision of machine automation combined with experienced human oversight
makes an increasingly large array of products something that can be produced
onsite. Can a tool be completed simply by fastening a 3D-printed plastic handle
to a 3D-printed or CNC-carved steel hammer or shovel? How many other products
could be thus completed with a single action, or just two or three? And while
deploying an experienced worker or expert to every single such job would
normally be an unreasonable waste of resources, a remote action takes
effectively zero travel time and in a large organization, these tasks can be
scheduled and routed through to workers digitally, allowing the simplest and
most common actions to happen almost as though each manufactured item were
arriving on an assembly line, when it fact it is the worker’s access and
awareness which is travelling to find them where they are. Given the
flexibility of humanoid robots and similar systems to handle a range of
actions, a single robot in the back room of a warehouse or store could have
control transferred to several different workers in a row in order to handle a
series of jobs. Similarly, if multiple workers with different skills are
required to complete a remote manufacturing job, the program could route them
in one-by-one in the correct order as they became available until the work was
complete. For example, if one person were required to solder internal
electrical connections1, another to snap together internal parts or
its external housing2 and a third to examine the quality3
of what the first two had accomplished, they would be brought in one at a time
to handle their piece. And while they would have full access to any available
information relevant to their work, they could go in and out without pause or
introduction, allowing common issues to be resolved and common work to be
completed as though they had been set on an assembly line that was constantly
running everywhere on Earth or above it. In effect, rather than bringing the
product from an assembly line, they would be bringing assembly to the product.
From the worker’s perspective, instead of having one product after another
appear before them on an assembly line, one product after another would appear
before them on a VR screen4.
Further, if a step being handled remotely could be easily
defined and the actions taken to fulfill it recorded
5 – as with
learning pendants and lead-by-the-nose techniques – the step could eventually
be taken
autonomously6 by the robot present when signaled to do so,
enabling increasingly complex forms of remote manufacturing by using a
standardized set of hands and the record of the steps they used to complete the
product.
The above repair and manufacturing options would
work for a host of more mundane circumstances – repairs on an assembly line,
maintenance on aircraft at a remote airfield, repairs of military vehicles,
work on a city government’s motor fleet, and so forth. Constantly falling
prices of electronics, steadily improving prices for certain kinds of
manufacturing and even the repurposing of some of those older manufacturing
robots make this kind of maintenance increasingly sensible – first for
operations with the highest demand and lowest supply of excess workers (such as
certain remote military bases) and then for an increasingly broad range of
organizations on the one hand and for more exotic applications on the other.
Obviously, the internal version of this system
would have to be built into a machine in the first place, but they certainly
can be, particularly in items built with an eye towards automating repairs most
efficiently. But many machines better suited for the external version are
already repaired in garages, hangers or factory floors actually ideal for
further, simple modifications where practical considerations outweigh aesthetic
considerations. Or to put it another way, it is easier to have the external
repair system working in an industrial setting than in a home or office
environment, where the improvement in repair efficiency would be outweighed by
safety issues and other practical concerns.
Part 1
Part 4
Part 6
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