Slope-Intercept Formula to Determine the Annual Increase Essay
Slope-Intercept Formula to Determine the Annual Increase
Select an inventory management problem that applies to your work or personal life.
Prepare a project proposal in which you:
•Describe the organization, the inventory problem it faces, and the expected benefits that are motivating the organization to implement a solution.
•Convert time series data collected in Week Two to seasonal indices. You may choose to use the University of Phoenix Material: Summer Historical Inventory Data or University of Phoenix Material: Winter Historical Inventory Data if the data you collected is insufficient.
•Use seasonal indices to analyze the inventory data.
oUse the slope-intercept formula to determine the annual increase in inventory.
oProvide monthly seasonal indices for the given data.
oIdentify the busy months of year.
oIdentify the slow months of year.
•Construct a histogram of the inventory data using Microsoft® Excel®.
•Forecast the future inventory costs using time value of money concepts.
University of Phoenix Summer Historical Inventory Data
The University of Phoenix Summer Historical Inventory Data is the source for developing Team B’s inventory management proposal. Annual trend lines were plotted in Microsoft Excel © to display the inventory amounts for each year. The trend line in this case is positive, which indicates that the likelihood of inventory levels in the subsequent years will continue to rise without considering any additional factors that may influence the business. Factors to support the observation include economic instability from stock market volatility, a decline in consumer confidence, severe weather, and acts of terrorism. Table 1 shows the existing data and includes the fifth year projections. Figure 1 displays the trend line.
University/College: University of California
Type of paper: Thesis/Dissertation Chapter
Date: 11 October 2016
We will write a custom essay sample on Slope-Intercept Formula to Determine the Annual Increase
for only $16.38 $12.9/page