作業(yè)成本計算中多成本動因的選擇和合并研究
[Abstract]:Since the introduction of Activity-Based Costing (ABC) in the early 1990s, the activity-based costing (ABC) has received extensive attention from the theoretical and practical circles. The adoption of activity-based costing can not only provide accurate cost accounting and quotation for the enterprise, but also provide decision support for the company's strategic and daily operations. As a scientific method of cost accounting has been adopted by many enterprises and achieved good economic effect, it fully proves the strong vitality of activity-based costing. Among them, the core theory of activity-based costing, the theory of cost driver, determines whether the activity-based costing can be implemented successfully or not, so it is better to be better. With the application of activity-based costing (ABC), the research on the theory of cost drivers is very important. The research results at home and abroad are reviewed. The research on cost drivers is mainly focused on qualitative research, and the results of quantitative research are relatively small; and most of domestic research is based on foreign research results and can not be a self-made system; many studies only simply turn over foreign research results. In the study of cost drivers, there is still no reasonable and universally applicable solution to the two key problems of the cost drivers and the number of reasons for the selection. This paper studies the selection and merger of cost drivers in an attempt to provide a more effective and intuitive operating cost. On the basis of the theory and method of cost driver selection and merger, the optimized cost driver merger model is designed to form a set of scientific cost accounting work flow. According to the degree of correlation between cost drivers, it is divided into different classes and through the main components. The analysis theory determines the number of the cost drivers by the number of the principal components and combines the results of the cluster analysis to determine the specific cost drivers and combine them effectively. This method will lose a certain cost accuracy. In order to ensure the accuracy of the cost, the step by step regression method is introduced, and after the representation of the motivation of the representative, it can be fitted through the fitting. The linear equation uses the selection driver to express the selected cost drivers, and finally obtains the combined results of the cost drivers. Then, the results are compared with the existing theoretical model calculation results. The optimization model proposed in this paper tries to seek the most effective cost drivers with the help of the Stata software, with a lower result. This precision loss can be used to realize the cost driver to share the indirect cost and reduce the cost of the operating cost method. Finally, this paper gives an example analysis, gives a tangible, practical reference to the enterprise adopting the activity-based costing, and provides practical and practical guidance for the actual work. The innovation point of this paper is to summarize the theory and literature. On the basis of this, an improved combined optimization model is proposed to form a set of scientific cost accounting work flow, with minimal cost accuracy loss to realize the selection and merger of multi cost drivers, and provide a practical method for the successful implementation of Activity-Based Costing in our enterprises.
【學位授予單位】:北京交通大學
【學位級別】:碩士
【學位授予年份】:2017
【分類號】:F275.3
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