Reason (R) : Forecasting facilitates efficient scheduling of labour, use of equipment and space.
Codes :
Assertion (A) states that sound forecasting is vital to financial management in a food production unit. This is correct. Effective financial management requires predicting future outcomes. In food production, forecasting helps in budgeting, managing costs, planning investments, and ensuring profitability by anticipating market demand, raw material availability, and production costs.
Reason (R) states that forecasting facilitates efficient scheduling of labour, use of equipment, and space. This statement is also correct. By forecasting demand and production needs, businesses can optimize resource allocation. This includes scheduling the right number of workers, utilizing machinery efficiently, and managing storage space effectively, thereby minimizing waste and operational costs.
Reason (R) directly supports Assertion (A). The efficient scheduling and resource management enabled by forecasting (R) are key components that contribute to sound financial management (A) in a food production context. Therefore, both statements are correct, and the reason explains the assertion.
Since both Assertion (A) and Reason (R) are accurate statements, and Reason (R) provides a valid explanation for Assertion (A), the correct option is that both are correct and (R) is the reason for (A).
Correct Option: Both (A) and (R) are correct.
Name the human resource demand (need) forecasting technique, which solicits estimates of personnel needs from a group of experts, usually managers. The HRP experts act as intermediaries, summarise the various responses and report the findings back to the experts. The experts are surveyed again after they receive this feedback. Summaries and surveys are repeated until the experts' opinions begin to agree. The agreement reached is the forecast of the personnel needs.
Select the correct option :
The sensitivity of forecast in simple moving average forecasting method, for the increase of the length of average period,
For a product, the forecast and the actual sales for December 2008 were 25 and 20 respectively. If the exponential smoothing constant (α) is taken as 0.2, the forecast sales for January 2009 would be.
For a product the forecast and actual sales for December 2002 were 25 and 20 respectively. If the exponential smoothing constant is taken as 0.2, then forecast sale for January 2003 would be