Industrial Productivity on a Small Scale: Difference between revisions
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=Can Distributed Production in Microfactories be More Efficient than Centralized Production?= | |||
'''Can a distributed open source business with distributed production provide higher efficiencies than centralized production?''' | '''Can a distributed open source business with distributed production provide higher efficiencies than centralized production?''' | ||
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Let's look at some data: | Let's look at some data: | ||
#[[Prusa Research]] sells 8000 printers per month. | #[[Prusa Research]] sells 8000 printers per month, with 250 employees. That is 1 printer per person per day. | ||
#[[Lulzbot]] - sells 1000 pritners per month, with 150 employees. That is 1/5 printer per person per day. | |||
#[[Mahindra & Mahindra]] Tractors - make 1/6 tractor per person per day. Thousands of employees in their tractor division. | |||
For comparison: | |||
#OSE can make 12 quality controlled-printers per day, with [[Distributed Quality Control]]. See [[3D Printer Production Engineering]]. | |||
#OSE can make 1 tractor in one day with 4 people. So this is 1/4 tractor per person per day. | |||
=Discussion= | |||
While OSE is not running a business producing many printers, its small volume manufacturing can yield good efficiency on a small scale. The question remains - can such production scale? | |||
Our route to that is training people to run such businesses, to fund growth of OSE development. To succeed at this means succeeding at providing livelihoods for the transformation of the economuy to a system based on open source collaboration. This has the potential to unleash much creativity - raising the bar on human life satisfaction as various forms of competitive waste are eliminated. From the OSE big picture perspective, this has the potential to add freeDom to Peter Diamandis's [[6 Ds of Tech Disruption]]. | |||
Revision as of 16:50, 19 February 2019
Can Distributed Production in Microfactories be More Efficient than Centralized Production?
Can a distributed open source business with distributed production provide higher efficiencies than centralized production?
This is important, as at stake is the capacity to educate for entrepreneurship as opposed to creating employees. Why is that good? As long as we can maintain industrial productivity with this method - we have more flexibility in terms of doing things with environmental and social consciousness. By doing this, we decrease bureaucracy. Increase meaning and satisfaction in peoples' lives. Contribute to creation of the world around us as opposed to creation of oversized structures.
Let's look at some data:
- Prusa Research sells 8000 printers per month, with 250 employees. That is 1 printer per person per day.
- Lulzbot - sells 1000 pritners per month, with 150 employees. That is 1/5 printer per person per day.
- Mahindra & Mahindra Tractors - make 1/6 tractor per person per day. Thousands of employees in their tractor division.
For comparison:
- OSE can make 12 quality controlled-printers per day, with Distributed Quality Control. See 3D Printer Production Engineering.
- OSE can make 1 tractor in one day with 4 people. So this is 1/4 tractor per person per day.
Discussion
While OSE is not running a business producing many printers, its small volume manufacturing can yield good efficiency on a small scale. The question remains - can such production scale?
Our route to that is training people to run such businesses, to fund growth of OSE development. To succeed at this means succeeding at providing livelihoods for the transformation of the economuy to a system based on open source collaboration. This has the potential to unleash much creativity - raising the bar on human life satisfaction as various forms of competitive waste are eliminated. From the OSE big picture perspective, this has the potential to add freeDom to Peter Diamandis's 6 Ds of Tech Disruption.