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VAM is an improved version of the least-cost method that generally, but not always, produces better starting solutions. VAM is based upon the concept of minimizing opportunity (or penalty) costs. The opportunity cost for a given supply row or demand column is defined as the difference between the lowest cost and the next lowest cost alternative. This method is preferred over the methods discussed above because it generally yields, an optimum, or close to optimum, starting solutions. Consequently, if we use the initial solution obtained by VAM and proceed to solve for the optimum solution, the amount of time required to arrive at the optimum solution is greatly reduced.

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What do you call a method of estimating or thing that shares the same qualities in math?

In mathematics, a method of estimating is often referred to as an "approximation." An approximation shares qualities such as being close to the actual value while being simpler or easier to compute. Techniques like rounding, linearization, or using significant figures can all be considered forms of approximation in mathematical contexts.


Advantage and disadvantage of NPV what is the advantage and disadvantage of Net Present Value Method?

Advantages: a. It will give the correct decision advice assuming a perfect capital market. It will also give correct ranking for mutually exclusive projects. b. NPV gives an absolute value. c. NPV allows for the time value fo the cash flows. Disadvantages: a. It is very difficult to identify the correct discount rate. b. NPV as method of investment appraisal requires the decision criteria to be specified before the appraisal can be undertaken.


What are the disadvantages of whole part whole method?

There is no disadvantage A disadvantage is that it takes longer to learn a skill as you have to break it down and learn it bit by bit.


What advantage and disadvantage grid sampling method?

Grid sampling is advantageous because it provides a systematic approach to data collection, ensuring uniform coverage of an area and reducing bias in sample selection. However, its disadvantage lies in the potential for overlooking localized variations or unique features within the grid, which can lead to a lack of detailed insights in heterogeneous environments. This method may also require more resources and time compared to more targeted sampling techniques.


What is the problem rectangle method?

One problem with using rectangles to approximate an area under a curve is it will overestimate or underestimate the area, depending on which endpoint is used. The trapezoidal method gives a closer approximation.

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