Question: Introduction This assignment is designed to evaluate the following course learning and essential employability outcomes: Describe the HR forecasting process and compare and contrast various

Introduction
This assignment is designed to evaluate the following course learning and essential
employability outcomes:
Describe the HR forecasting process and compare and contrast various HR
demand forecasting techniques and methods of determining internal and
external supply
Execute mathematical operations accurately
Overview
For this assignment you are acting as the HR manager for Asha Co., a horse blanket
manufacturing company which sells its products to various retailers throughout North
America. Customer demand for horse blankets has been quite steady over the past
several years and this is not expected to change. You have been provided with sales
projections and have been tasked to forecast the labour demand and supply
requirements of the organization for the next three years.
Instructions
PART A: FORECASTING DEMAND
1. Open the Excel file HRP FORECASTING ASSIGNMENT (on DC Connect) and navigate
to the first sheet TREND/RATIO ANALYSIS (See the explanation of trend/ratio
analysis in the text)
Calculate the ERR (Employee Requirement Ratio) for the known years 2020-
2022.
Calculate the forecasted HR DEMAND (# OF EMPLOYEES) for years 2024-2026
using the 2023 ERR and the forecasted SALES figures. Here is the data:
TREND/RATIO ANALYSIS
SALES HR DEMAND ERR
YEAR ($ THOUSANDS)(# OF EMPLOYEES)(SALES/EMPLOYEE)
2020 $2,800155
2021 $3,050171
2022 $3,195166
2023 $3,300177
FORECAST
2024 $3,500
2025 $3,600
2026 $3,850
Human Resources Planning Forecasting Assignment
Next, the management team has provided you with an additional set of sales
projections and have asked you to determine HR demand based on these new
figures using a productivity index for the years 2024-2026 that will be the
average ERR over the years 2020-2023. The new forecasted SALES are:
2024 to $3,750
2025 to $4,200
2026 to $4,450
You will need to amend the spreadsheet data to reflect these new numbers.
Remember: the initial sales projections require you to use the ERR for 2023; the
second set of projections uses the average ERR for 2020-2023
To receive full marks for this section your spreadsheet must include formulas
no static numbers as modelled in-class during week 5.
PART B: FORECASTING SUPPLY
2. Now that you have forecasted the demand for labour, you turn your attention to
ascertaining HR supply. You have decided to use a MARKOV ANALYSIS. Markov
analysis looks at historical patterns of employee movement between jobs to
determine our internal supply for a particular job type, as well as seeing where there
might be problems with too much or too little movement between jobs.
3. Navigate to the second sheet of the Excel Forecasting Assignment file named
MARKOV ANALYSIS, you will be updating the data as per below (See Chapter 6
slides for an example of a Markov analysis).
Enter the initial numbers of employees per job family (Job A, B, C, D). Use these
numbers and the movement percentages in the transition probability matrix to
obtain forecasted numbers of employees who will be in job families A, B, C, and
D at the end of this year. As with trend analysis, we can track percentages of
employee movement based on last year or on an average of a few previous
years.
Human Resources Planning Forecasting Assignment
MARKOV ANALYSIS
TRANSITION PROBABILITY MATRIX
START OF YEAR END OF YEAR
JOB A JOB B JOB C JOB D EXIT
JOB A 80%10%5%0%5%
JOB B 10%70%0%10%10%
JOB C 0%0%90%5%5%
JOB D 0%0%0%90%10%
EXPECTED MOVEMENTS OF EMPLOYEES
END OF YEAR
INITIAL # OF
EMPLOYEES JOB A JOB B JOB C JOB D EXIT
JOB A 200
JOB B 70
JOB C 60
JOB D 100
PREDICTED # OF EMPLOYEES
AT YEAR END
Next, complete the second table (Markov Analysis #2) but for this forecast, the
management team wants you to include numbers for an additional plant.
Change the initial numbers of employees per job type to:
Job A: 1,478
Job B: 886
Job C: 592
Job D: 1,017
To receive full marks for this section your spreadsheet must include formulas
no static numbers as modelled in-class during week 5.
Human Resources Planning Forecasting Assignment
PART C: ANALYSIS
4. Asha Co. decided to use a quantitative method for forecasting demand. Do you
agree with that decision? Why? Your answer should include a comparison between
quantitative and qualitative methods.
5. What conclusions can you draw from the demand analysis?
6. What is the Markov Analysis telling you in terms of supply? Are there any areas of
concern or gaps? What are the external hiring needs and/or gap strategies that may
be employed

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