Answer: <u>The answer is A. $60,000 increase.</u>
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Explanation: 1: The actual units sold multiplied by the budgeted sale price is equal to a total of $440000 (40000 x 11 = $ 440000)
2: The actual units sold multiplied by the actual sale price is equal to $500000 (40,000 x 12.5 = $ 500,000)
3:<u> $500000 - $440000 = </u><u>$60000</u><u> increase by the unit price factor.</u>
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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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Answer:
D. Predictive Analytics
Explanation:
Predictive analytics is a data mining technique that involves the use of old previous information in the prediction of future activities. It is the use of statistical data and algorithms in determining the likelihood that a future event will occur based on the historical facts found in the statistical data. It is used in identifying patterns and predicting future outcomes and trends based on those identified patterns. An example of this is a forecast that helps police in predicting areas most likely that crime will occur.
