Answer: True
Explanation:
The Marketing Control Statement is quite beneficial to marketers as it avoids fixed costs and shows them the variable and programmed costs both of which can be controlled. This enables them to know what they need to and can change in a way that they can come up with an optimal marketing mix to ensure profitability.
It is also a very uncomplicated statement to prepare which further ingratiates it to marketers who would like to avoid all the jargon of income statements.
Answer:
The solution to the given problem is given below.
Explanation:
1. Do you believe that the company needs outside financing?
Yes, Company needs outside finance total $ 40,000 as $25,000 in month of Feb and $15,000 in month of Apr
il.
2. What is the minimum line of credit to request from a lender?
Minimum line of credit needed is $40,000
3. Do you think you are a good candidate for the line of credit? Why?
Yes, we are good candidate for line of credit because we can start repayment by May and repay by July and after repayment we will have ending March Cash balance $100,000
.
Detailed calculations are attached with the image.
Answer:
visual communication
Explanation:
Communication can be defined as a process which typically involves the transfer of information from one person (sender) to another (recipient), through the use of semiotics, symbols and signs that are mutually understood by both parties.
Generally, there are four (4) main types of communication and these includes;
I. Verbal (oral) communication.
II. Non-verbal communication.
III. Written communication.
IV. Visual communication.
Visual communication can be defined as the use of visual elements and symbols such as charts, graphs, and signs to convey ideas and information that effectively creates meaning to the recipient.
In conclusion, visual communication is strictly based on vision or sight.
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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