PEST analysis involves the analysis of economic , political, legal, technological and cultural events and trends that may affect the future of the organization and its marketing efforts.
Explanation:
PEST analysis is the simple as well as mostly used tool that helps in analyzing economic,technological, political,socio-cultural changes in the business environment. There are various advantages of PEST analysis that is, it helps in proper understanding of the business, it helps in dealing with various threats, It is also a cost effective analysis. This analysis helps in determining the performance of the business during long- term.
Forecasting Methods
Financial analysts utilize four basic types of forecasting techniques to project future sales, costs, and investment costs for a company. Although there are many commonly used quantitative budget forecasting tools, in this article we concentrate on the top four techniques: Straight-line, moving average, simple linear regression, multiple linear regression, and straight-line.
Main Content
You are aware that there are 150 units in stock at the moment (beginning inventory = SI), and ABC's marketing manager predicts that demand for the motor will be 240, 225, 265, 270, 260, and 275 units over the course of the following six months (M = 6). (D1, D2, D3, D4, and D5 respectively).
In six months, you wish to have 50 units in stock (ending inventory = EI) and have decided that you want to lower the average inventory level of various goods, including this one.
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Answer:
A. raw material inventory
Explanation:
Inventory materials are basically of 3 types namely; Raw materials, semi-finished goods and finished goods.
Raw materials are inventory materials yet to be processed. It is usually referred to as material cost.
Inventory items that have been processed but yet to be finished are called semi finished goods. Such items are also called work-in-process inventory.
Finished goods are inventory items ready to be sold.
Based on the above statements, the right option is A. raw material inventory.
Answer:
Product X Product Y
Contribution Margin per $10 $12
Production Hour
Explanation:
The hours used in the product X and product Y is computed as:
Product X Product Y
Units produce in per hour 2 3
Hours used per units 1/2 = 0.5 1/3 = 0.333
The contribution margin per production hours is calculated as, divide the contribution margin by hours as shown below:
Product X Product Y
Contribution margin $5 $4
Hours used 0.5 0.333
Contribution margin per 5/0.5 = 10 4/0.333 = 12
Production Hour
