Title :
A manufacturing cost estimation method based on activity-based costing
Author :
Yongqian, Zheng ; Meng, Chen ; Xuebo, Yao ; Jin, Zhang
Author_Institution :
Dept. of Ind. Eng., Tongji Univ., Shanghai, China
Abstract :
In order to estimate manufacture costs of the product more accurately, this paper will combine activity-based costing (Activity-based Costing, ABC) with BOM to estimate the product of direct manufacturing costs. As to the indirect cost estimates, this paper filter out the cost driver data in the process of direct cost estimation as input and predict output by neural network, so as to raise the accuracy of indirect costs estimates effectively. The results show that the proposed method is feasible.
Keywords :
costing; neural nets; BOM; activity-based costing; manufacturing cost estimation; neural network; Bills of materials; Costing; Costs; Data mining; Industrial engineering; Manufacturing processes; Neural networks; Product design; Production; Pulp manufacturing; activity-based costing; cost estimation; manufacturing;
Conference_Titel :
Mechanic Automation and Control Engineering (MACE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-7737-1
DOI :
10.1109/MACE.2010.5536842