Hrm Case on Ya Kun Kaya

Submitted by: Submitted by

Views: 1562

Words: 855

Pages: 4

Category: Business and Industry

Date Submitted: 02/19/2012 11:33 AM

Report This Essay

Application Case Study

Ya Kun Kayase Code HRM 301 (3)gement

t

98

employment levels er needs of Ya Kun Kaya. They are:

Course: Human Resource Management; Course Code HRM 301 (3)

Submitted to:

Omar Faruq

Assistant Professor

Dept. of Business Administration

East West University

Submitted By:

Shenjuti Shabnam 2009-1-10-177

Chowdhury Ishita Israt 2009-1-10-198

Farhana Yasmin Eva 2009-1-10-290

Submitted on: December 10, 2011

Question-1: How would you forecast the manpower needs of Ya Kun?

There are few ways by which we can forecast the manpower needs of Ya Kun Kaya. They are:

* Trend analysis

* Ratio analysis

* Scatter plot and

* Computerized system

Based on trend analysis, we can find new recruit by studying the variation of their past employment levels which means that they can provide an initial estimate of future staffing needs, but employment levels rarely depend just on the passage of time.   They looked their past performance of sales, productivity and so on to estimate their employee also because if their performance goes beyond their expectation like Ya kun that have many outlets throughout the world, they may required more employee either full time or part-time.

Other forecasting method that we can use to forecast their manpower is ratio analysis. In this method, the forecasting would be based on the historical ratio between some causal factor (like sales volume) and the number of employee required such salespeople.   In this case, Ya Kun need more employee because they need more salespeople to run the business in each of their outlets. The sales volume for Ya Kun also one of the factor that Ya Kun need to recruit employee. Compared to trend analysis, ratio analysis assumes that productivity remains about the same.

Another method we can use is scatter plot to forecast their manpower. In this method, the personnel may use two related variables to indicate the relation between the two such as sales volume...