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Top Global Chipmakers Resist Biden Bid for Supply Chain Data

Supply Chain Brain

A Biden administration effort to untangle global chip supply snarls is facing resistance from lawmakers and executives in Taiwan and South Korea, complicating attempts to resolve the bottlenecks hurting industries from automobiles to consumer electronics.

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The Mass Adoption of Cryptocurrency in Countries!

Supply Chain Game Changer

Cryptocurrency payment processors make it easier than ever – as cybercriminals constantly innovate ways to steal sensitive data and identities and create new business opportunities. Japan and South Korea in the cryptocurrency ecosystem. Let’s discuss the mass adoption of cryptocurrencies in different countries. .

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The CHIPS and Science Act of 2022: What It Means for the Future of Manufacturing

ivalua

According to 2020 data, the U.S. In contrast, chip manufacturing has significantly increased in Taiwan, South Korea, and China over the same time period*. Summary of the Investments and value creation of the CHIPS Act (Loseby, D.L. 2022) Source.

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August 2022 Global Manufacturing Indices- Declining Momentum Accelerating

Supply Chain Matters

In our summary and perspectives focused on July 2022 reporting , we opined that July data reinforced a trending toward declining global supply chain production momentum. South Korea has now become a concern as well as that regions manufacturing activity is now at a contraction level not seen since 2020. . . South Korea.

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Auto Industry Concerns in Sourcing Moves Within Mexico

Supply Chain Matters

The report specifically cites data from Mexico’s national auto parts industry association indicating that the value of Chinese auto parts produced in Mexico and exported to the U.S. market entry to that of Japanese automakers on the 1970’s and South Korea based makers in the 1990’s. reached $1.1 billion last year.

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BD Achieves End-to-End Supply Chain Visibility

Logistics Viewpoints

In a conversation with Everstream’s chief data officer, the executive told this writer that the company was using artificial intelligence (AI) and Big Data to solve this n-tier problem. The company had access to huge amounts of trade data, for example. It is not enough to have data; you need the right kind of data!

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Your supply chain is costing you money – Reason #10 Failure to adequately train your supply chain planning staff

Kinaxis

Reason #7 Making decisions based on bad data (supply chain data accuracy). It might be a programmatic error but more likely it is caused by bad data. Reason #4 Making key decisions by modelling the supply chain in Excel. Reason #5 Not having a supply chain risk management process. Reason #6 Not effectively managing inventory.