Answer:
OAR = $4 per machine hour
Explanation:
Plant wide overhead absorption rate (OAR)
= Estimated overhead/Estimated total machine hours
Estimated machine hours = (5 × 1000) +( 8× 2000) = 21,000 machine hours
OAR = $84,000/21,000 machine hour= $4 per machine hour
OAR = $4 per machine hour
B) the strategic fit test, the resource fit test, and the profitability test.
C) the barrier-to-entry test, the growth test, and the shareholder value test.
D) the attractiveness test, the cost-of-entry test, and the better-off test.
E) the resource fit test, the strategic fit test, the profitability test, and the shareholder value test.
Answer:
D) the attractiveness test, the cost-of-entry test, and the better-off test.
Explanation:
To judge a diversification change, an organization needs to pass the attractiveness tests, the entry cost test and the best situation test.
These tests will be decisive to analyze the potential that diversification will have to create added value for the shareholder.
The attractiveness test will list the ability that the market has to ensure that there is a safe return on investments.
The cost-of-entry will aim to ensure that when entering a new sector, the organization does not have higher costs that can influence the generation of profitability.
Finally, the better-off test will analyze whether the planned diversification will be so profitable that it will help to improve the performance of the integration of organizational businesses.
Answer:
OPTION d
Explanation:
B)Using exponential smoothing with ? = 0.20, if the exponential forecast for week 3 was estimated as the average of the first two weeks [(315 + 415)/2 = 365], what would you forecast week 5 to be? (Round your answer to the nearest whole number.)
Week 1 315
Week 2 415
Week 3 615
Week 4 715
Answer: A. 582 ; B. 475
Explanation:
A. Three week moving average
three moving average requires us to take the last three weeks forecast in calculating the forecast for following week, to calculate week 5 forecast we will start from week 2 to week 4.
Week 2 = 415
Week 3 = 615
Week 4 = 715
Three week moving average = (WEEK 2 + Week 3 + Week 4)/N
Three week moving average = (415 + 615 + 715)/3
Three week moving average = 1745/3 = 581.6667 = 582
using three week moving average the forecast for week 5 is 582
B.Exponential smoothing
Exponential smoothing forecast for week 3 is 365, to calculate the forecast of week 5 we need to find a forecast for week 4 first using exponential smoothing
S = smoothing Factor = 0.2
D = most recent forecast (week 3) = 615
F = most recent forecast under exponential smoothing = 365
Forecast(week 4) = (D × S) + (F × (1 - S))
Forecast(week 4) = (615 × 0.20) + (365 × (1 - 0.20))
Forecast(week 4) = 123 + 292 = 415
The forecast for week 4 using exponential smoothing is 415
Week 5 forecast calculation
S = smoothing Factor = 0.2
D = most recent forecast (week 4) = 715
F = most recent forecast under exponential smoothing = 415
Forecast(week 5) = (D × S) + (F × (1 - S))
Forecast(week 5) = (715 × 0.20) + (415 - (1 - 0.20))
Forecast(week 5) = 143 + 332= 475
forecast for week 5 is 475
The forecast for the next week using a three-week moving average would be 448 items. Using exponential smoothing with a smoothing constant of 0.20, the forecast for week 5 would be 435 items.
To answer both parts of your question:
A) The three-week moving average is calculated by taking the average of the past 3 weeks, so for week 4, it would be the average of weeks 1, 2, and 3: [(315 + 415 + 615)/3 = 448]. Therefore, the forecast for week 4 using a three-week moving average would be 448 items, rounded to the nearest whole number.
B)Exponential smoothing requires the use of a smoothing constant, in this case, ? = 0.20, and the previous actual and forecasted values. Using the given exponential forecast for week 3 of 365, the forecasted demand for week 5 would be calculated as follows: Forecast = ? * Actual_previous + (1-?) * Forecast_previous = 0.20 * 715 + (1-0.20) * 365 = 435. Therefore, your week 5 forecast would be 435 items, rounded to the nearest whole number.
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Answer: Company objective and the resources
Explanation:
For evaluating the different types of marketing segment of an organization it basically involve the two main factors such as the overall segments's attractiveness and also the main objective of the company and its resources.
By evaluating the marketing segment we can easily evaluating each segment of the company so that the company producing the desirable result according to the consumer requirements.
The company objective is one of the type of goals of the company that helps in achieving the desirable result and the opportunities. Therefore, Company objective and the resources is the correct answer.
Answer:
This quote highlights Adam Smith - Self Interest, Free Reign, Invisible Hand theories
Explanation:
Adam Smith is the Father of Economics.
His self interest theory states that : Individuals working for the best of self interest implies maximum welfare for society as a whole.
Hence, the free reign idea suggests that people as 'self interest' guided rational economic agents should be left free. The invisible hand of market restores any distortions.
Government intervention is considered to be not only unnecessary, but distortionary.
Answer:
B) salesmen have granted customers an extension of credit terms.
Explanation:
receivables turnover ratio = net sales / average accounts receivable
A low receivables turnover ratio is usually a bad thing, since most companies sell on credit, i.e. their accounts receivable should be important. A high receivables turnover ratio means that the company is collecting its accounts receivable efficiently and its customers are good payers.
The key point here is average accounts receivable. What can result in a company having very high accounts receivable (compared to its total sales)? The answer is simple, their customers are not paying on time or the company had to extend their credit terms in order to attract more customers.
Answer:
10.9 per unit
Explanation:
Total manufacturing cost per unit= Material cost per unit + Conversion cost per unit
Material Cost per Unit= Total materials cos / Equivalent units of materials
Material cost per unit = 55000 / 10000 = 5.5
Conversion cost per unit = Total conversion costs / Equivalent units of conversion costs
Conversion cost per unit = 81,000 / 15000 = 5.4
Hence, Total manufacturing cost per unit = 5.5 +5.4 = 10.9 per unit