If a national mobile phone distribution enterprise sells 5 million mobile phones every year, each salesperson sells 46 mobile phones every day on average. According to past experience, it takes 0. 174 hours for a salesperson to sell a mobile phone, and the average annual attendance rate of the salesperson is 95%. According to the above data, we can calculate the number of sales staff in this enterprise:
1) Calculated by sales quota:
Number of employees = national sales/(average sales of employees x attendance rate) = 5 million units /{46 units x [(365-2x52- 10) days x 0.95]} = 456 people.
2) According to the time quota:
Number of personnel = national sales x working hours quota/(employee working hours x attendance rate) = 5 million sets X0. 174 hours /{8 hours x [(365-2x52- 10) days x 0.95]} = 456 people.
In the calculation of time, this method assumes that there are two days off every week and holidays all year round 10 days. The assumption of this calculation method is that the sales volume depends entirely on the working hours of the sales staff, ignoring the factors such as products, markets and internal support systems. There are many factors to consider in the actual staffing process, and the number of headcount should be determined with reference to the calculation results. Also known as regression analysis. Business analysis is to determine the staffing of the enterprise in a certain period in the future according to the historical data and strategic objectives of the enterprise. The business analysis method needs to be based on the historical business data such as sales revenue, sales volume, profit and market share, establish the regression equation between these data and the number of people, and get it through regression analysis and calculation.
If the average monthly sales volume of a national mobile phone distribution enterprise was160,000 units last year, it is expected that the sales volume will increase by 10% next year, and the company plans to sell176,000 units every month next year. Through regression analysis, the regression analysis equation between sales volume and number of employees is =0.003574. You can calculate the number of salespeople:
Number of personnel = national average monthly sales in the next year x regression analysis equation = 176000 x 0.003574 = 629 personnel.
Regression analysis method is based on the prediction of the future, and the accuracy of its results has a great relationship with the accuracy of the prediction. Business analysis method also requires enterprises to strengthen knowledge management, keep real historical data, and facilitate the establishment of regression analysis equations by statistical methods. Budget control method is a widely used method in western enterprises, which controls the number of personnel through labor cost budget, rather than making rigid provisions on the specific number of people in a certain position in a certain department. The enterprise formulates the annual labor cost budget, decomposes the total budget of the enterprise into various departments of the company, and determines the specific number of posts within the approved budget. The department head is responsible for the department's business objectives and the number of posts. Because the resources of an enterprise are limited and closely related to the output, budget control has strict constraints on the expansion of the number of personnel in various departments of the enterprise.
If the annual business volume is to be completed, one plan is to use 10 people, and the monthly labor cost of each person is 10000 yuan; Another plan is to use 8 people, and the labor cost per person per month is1.2000 yuan. If the department's labor budget is 98000. How many people should I use?
Scheme 1: labor cost =10,000x10 =100,000.
Scheme 2: Labor cost = 1.2 million x 8 = 10,000.
Therefore, according to the budget control law, the department should use 8 people instead of 10. The industry proportion method is to determine the number of jobs according to the proportion of the total number of employees in an enterprise or the total number of people in a certain category. In the same industry, due to the requirements of specialized division of labor and cooperation, there is a certain proportional relationship between one type of personnel and another. The proportion of one type of personnel will change with the number of other types of personnel. This method is more suitable for personnel planning of various auxiliary and support positions, such as human resources and financial management.
For example, the ratio of human resources to business personnel in a mobile phone distribution enterprise is generally 1: 100, and an enterprise has1500x0.01=15. Of course, the proportion of this industry cannot be generalized, and factors such as the number of branches, the degree of regional dispersion, and the fineness of human resources services need to be considered. The benchmarking method is based on the best model and benchmark value in the world, combined with the comprehensive consideration of enterprise characteristics, operation process, efficiency and business volume, to determine the number of posts. The benchmark value is the statistical value of a sampling group in the benchmark project, and the average value of the benchmark value is based on the average value of the sampling group, that is, each sampling group has a probability of about 50%, and the actual value will be higher or lower than the average value. Benchmark data types can include job performance (such as cost and efficiency) and manpower allocation equivalence, but not all industries, functions and work items have ready-made benchmark values. Internationally renowned institutions that analyze benchmark values include IMA (Institute of Management Accountants), Saratoga Institute of Human Resources and Gartner Information Management Group.