The World Trade Organization (WTO) is the global international organization that deals with trade rules between different nations. The World Bank handles all financial assitance with developing countries around the world. Though they both help different nations, one handles the trade between nations and the other handles financial monetary assets.
The differences between the two are that <u>supply chain </u>involve(s) both manufacturing and procurement with multiple manufacturers, suppliers, and retail companies.<u> logistics </u> refers to distribution activities in one company.
<h3>What is Supply chain and logistics?</h3>
Supply chain has to do with production or manufacturing and distribution of goods produce to suppliers, retailers or customers while logistics has to do transporting or distribution of goods or products.
Supply chain involve the following:
- Manufacturer
- Supplier
- Warehouses
- Distribution
- Retailers
Logistics involve:
Inconclusion <u>supply chain </u>involve(s) both manufacturing and procurement with multiple manufacturers, suppliers, and retail companies.<u> logistics </u> refers to distribution activities in one company.
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Answer:
The correct answer is True.
Explanation:
The term Business Intelligence (BI) refers to technologies, applications and practices for the collection, integration, analysis and presentation of commercial information. The objective of Business Intelligence is to support better business decision making.
The automatic aspect of Business Intelligence should not go unnoticed. Daily information monitoring allows you to evaluate performance, monitor inventory and track expenses in real time.
Planning strategies without a thorough data analysis is like aiming in the dark. Business intelligence lights the way to make the best decisions in the management of your hotel.
The usefulness of technology to take data from the environment for strategic knowledge is evident as soon as it is launched. By extracting essential data from the environment and presenting it on dashboards, business intelligence allows managers and managers to make informed strategic decisions.
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In addition to prototyping, Powder Bed Fusion (PBF) AM processes have lately been more widely used to manufacture end-use parts. These changes lead to necessity of higher requirements to quality of a final product. Optimization of process parameters is one of the ways to achieve desired quality of a part.
In addition to prototyping, Powder Bed Fusion (PBF) AM processes have lately been more widely used to manufacture end-use parts. These changes lead to necessity of higher requirements to quality of a final product.
Optimization of process parameters is one of the ways to achieve desired quality of a part. Finite Element Method (FEM) and machine learning techniques are applied to evaluate and optimize AM process parameters. While FEM requires specific information, Powder Bed Fusion Machine Learning is based on big amounts of data. This paper provides a conceptual framework on combination of mathematical modelling and Machine Learning to avoid these issues.
Learn more about Powder Bed Fusion here
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A.limited supply hope that helps
