🤔 Can Smart Contracts help fix dishonesty in manufacturing?

Whoever is careless with the truth in small matters cannot be trusted with important matters” ― Albert Einstein

It might be about time we stopped trusting manufacturers and require complete process transparency. What do you think?

In today’s newsletter:

• Is smart manufacturing the way?

• Papers

• Learn

Penses

Manufacturing needs more transparency. Consumers want to know where is everything sourced and what ids in it. Some hypothesis that a mix of blockchain or a similar technology and AI we can make that possible. Was it really ‘Made in the USA’ or was it sourced somewhere else? Of course, people can still lie. But honest companies would be open to transparency and verification in public.

I’ve been trolling the internet for an interesting clip on why people want something like this. I came across a disturbing series called ‘China fakes everything’. And I hope he’s joking.

It’s a bit disturbing right? and it doesn’t just happen in China. Americans have PFAs in their system because the Dupoint, company that made Teflon, used toxic chemicals. And some how they still run a business in the USA. More on PFAs here.

Luxury brands like Dior and Armani are currently under fire for using sweatshops in Italy. It's estimated that those $5,000 bags cost about $50 to make. That's not what most luxury shoppers want. Read more here.

‘Can Smart Contracts help us hold big manufacturing accountable?’

Unfortunately, that is a question that is still up in the air. These systems are pretty complex to implement. Read more here.

• There are issue with the correctness of the contract.

• The cost to make the contract.

• The trustworthiness of the contract. ( i.e. Malicious code attacks)

• Transaction dependencies.

• and the list goes on.

Hopefully, we’ll figure this out or something else out so that consumers can know what they are buying.

Papers

• Industrial Internet of Things Intelligence Empowering Smart Manufacturing: A Literature Review . Some Chinese researchers have evaluate the future of IOT and the manufacturing process. One interesting item mentioned was the use of historical data to run R&D experiments to reduce costs. Read more here.

• Towards a Reference Software Architecture for Human-AI Teaming in Smart Manufacturing. This paper discusses the creation of a reference software for Human AI interactions in smart manufacturing. The two biggest challenges are scalability and a shared mental model between humans and robots. Read more here.

Learn

Practical use cases of AI in manufacturing

Learn to build a blockchain app: