techniques for demand forecasting

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Techniques for demand forecasting

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Techniques for demand forecasting

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Page 1: Techniques  for demand forecasting

Techniques for

demand forecasting

Page 2: Techniques  for demand forecasting

Demand forecasting

The information gathered from external environmental, scanning and assessment of internal strengths and weaknesses is used to

predict or forecast HR demand in light of organizational objectives and strategies.

Forecasting uses information from the past and present to identify expected future conditions. Approaches to forecasting

human resources range from a manager’s best guess to a rigorous and complex

computer simulation. Simple assumptions may be sufficient in certain instances, but

complex models may be necessary for others.

Page 3: Techniques  for demand forecasting

1. Trend Analysis2. Ratio Analysis3. Scatter Plot4. Computerized Forecast5. Work Study Technique6. Delphi technique7. Regression Analysis8. Econometric Models

cont…..

There are several techniques use for forecasting

Page 4: Techniques  for demand forecasting

9. Nominal Group Technique10. H R Budget and Planning

Analysis11. Scenario Forecasting12. Workforce Analysis13. Workload Analysis14. Job Analysis

Page 5: Techniques  for demand forecasting

Trend Analysis

Method which forecast employments requirements on the basis of some organizational index and is one of the most commonly used approaches for projecting HR demand. 1. Business Factor Annual Volume of

Sales. (N.U)

2. Total Number of Employees.3. Compare the Productivity Ratio.4. Calculate Human Resources demand. 5. Forecasted Human Resource

Requirements.

Page 6: Techniques  for demand forecasting

Ratio Analysis

Another approach , Ratio analysis , means making forecasts based on the ratio between.

1.Some causal factor (like sales volume)

2.The number of employees required

Page 7: Techniques  for demand forecasting

Scatter Plot

A graphical method used to identify the relationship between two variables. A scatter plot is another option. HR planner can use scatter plots to determine whether two factors – measure of business activity and staffing levels are related.

Page 8: Techniques  for demand forecasting

Computerized Forecast

The determination of future staff needs by projecting a firm’s sales, volume of production, and personnel required to maintain this required volume of output, using computers and software packages. Employers also used computerized system to personnel requirements .

Page 9: Techniques  for demand forecasting

Work Study Technique

Work study technique is based on the volume operation and work efficiency of personnel. Volume of operation is derived from the organizational plan documents and increase/decrease in operation can be measured.

Planned outputStandard output per hour x standard hours

per person

Page 10: Techniques  for demand forecasting

Delphi Technique

This technique calls for a facilitator to solicit and collate written, expert opinion on labor forecast. After answer are received, a summary of the information is developed and distributed to the expert, who are thrn requested to submit revised forecast. Expert never meet face-to-face, but rather communicate through the facilitator.

Page 11: Techniques  for demand forecasting

Regression Analysis

Regression analysis identifies the movement of two or more inter-related series. It is used to measure the changes in a variable as a result of changes in other variables. Regression analysis determines the relationship between Y variables such as the number of employees and X variables such as service delivery by actually measuring the relationship that existed in the past. Use of the method begins with a series of observation each costing of a value for the Y variable plus a value for each X variable.

Page 12: Techniques  for demand forecasting

Econometric Models

Econometric models for estimation of manpower requirement differ from the statistical methods. Past statistical data are analyzed in the hope that it will prove possible to describe precisely the relationships between a number of variables in mathematical and statistical terms.

Page 13: Techniques  for demand forecasting

Nominal Group Technique

The nominal group technique is a decision making method for use among groups of many sizes, who want to make their decision quickly, as by a vote, but want everyone’s opinions taken into traditional voting.

I. Introduction and ExplanationII. Silent Generation of Ideas III.Sharing IdeasIV.Group DiscussionV. Voting and Ranking

Page 14: Techniques  for demand forecasting

H R Budget and Planning Analysis

There are several other ways by which planners can estimate the future demand for human resources. One approach is through budget and planning analysis. When new ventures complicate employment planning.

Page 15: Techniques  for demand forecasting

Scenario Forecasting

Scenario techniques is used to explore the likelihood of possible future developments and changes and to identify the interaction of uncertain future trends and events.

Preparation of Background Selection of Critical Indicators Establishing Past Behavior of IndicatorsVerification of Potential Future Events Forecasting the indicatorsWriting of scenarios

Page 16: Techniques  for demand forecasting

Workforce Analysis

It means, to determine the rate of inflow and out flow of employee. It is through this analysis one can calculate the labor turnover rate, absenteeism rate etc.

Page 17: Techniques  for demand forecasting

Workload Analysis

It is a method that uses information about the actual content of work based on a job analysis of the work. Workload analysis involves use of ratios to determine HR requirement. Both the number of employees and the kind of employees required to achieve organizational goals are identified.

Page 18: Techniques  for demand forecasting

Job Analysis

Job analysis helps in finding out the abilities or skills required to do the jobs efficiently. A detailed study of jobs is usually made to identify the qualification and experience required for them.

Page 19: Techniques  for demand forecasting

Thank you…..