dc.description.abstract | Most businesses are revenue-oriented, but facing the time of micro-profit, the importance of cost prediction is increasing cost prediction impacts quotation , and accurate cost prediction hleps the decision-making of report recipients. At the same time, it also impacts the profits and losses for business in the future. X Compnay’s taking direct material cost plus forecast before for the Slim Coils Inductor caused the lower sales price of some inductors, and which eroded net profit of product group, so re-establishing a more accurate model for cost prediction is imperative for the company.
This study takes ”Account Analysis Method” that uses “Scatter-Diagram Method” and “regression analysis” to define the cost behavior, and at the same time define those 4 costs: raw material, Direct Labor, overhaed, and non-manufacturing cost. After applying each method to the company , we find the suitable model for cost prediction of the Slim Coils Inductor is : “Raw Material” with “Moving Average”, “Direct Labor” with “cumulative learning curve” for working-hour and “moving average” for hourly salary , “Overhead” with “moving expenses rate” and “simply regression” for “Non-manufacturing cost”.
This study also conducts comparison with other cost prediction methods to get the following results:
(1)Sales Costs kind were almost use classified by accounting classification .
(2)Cost analysis basis:
Other products usually apply the method of Activity-Based Costing, but our product was use “Cost behavior analysis”.
(3)Cost Prediction:
The prediction methods of "Activity Based Costing" and "neural network" were used in other products, but our products being unable to fully collect operation cost information and cost information alone is insuffient to make modifications, don’t adopt this method.
Keyword:
Cost Prediction, Cost Behavior, Learning Curve, Moving Average, Weighted Moving Average, Sample Regression, Least-Squares Method, Multiple-Regression. | en_US |