Proceedings of the 1st International Conference on Mechanical Engineering and Material Science (MEMS 2012)

An Empirical Proof for the High Accuracy of ABC

Authors
Cai Yuzhuo, Lin Meiping, Wang Pingxin
Corresponding Author
Cai Yuzhuo
Available Online December 2012.
DOI
10.2991/mems.2012.186How to use a DOI?
Keywords
Accuracy; Regression analysis; Test model; Empirical evidence.
Abstract

Accurate cost information is the basis of management decision-making. Researches on the accuracy of ABC have to remain at logical analysis limited to the difficulties in the actual data acquisition and the lack of measurement methods. On the premise of available cost data of HZ company, this paper suggests a regression model which can test the accuracy of costing methods, and presents the testing procedures and methods. Then, this paper conducts a comparison between the traditional costing and ABC by regression analysis, and comes to the conclusion that ABC is superior in accuracy.

Copyright
© 2012, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 1st International Conference on Mechanical Engineering and Material Science (MEMS 2012)
Series
Advances in Intelligent Systems Research
Publication Date
December 2012
ISBN
978-90-78677-59-8
ISSN
1951-6851
DOI
10.2991/mems.2012.186How to use a DOI?
Copyright
© 2012, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Cai Yuzhuo
AU  - Lin Meiping
AU  - Wang Pingxin
PY  - 2012/12
DA  - 2012/12
TI  - An Empirical Proof for the High Accuracy of ABC
BT  - Proceedings of the 1st International Conference on Mechanical Engineering and Material Science (MEMS 2012)
PB  - Atlantis Press
SP  - 709
EP  - 712
SN  - 1951-6851
UR  - https://doi.org/10.2991/mems.2012.186
DO  - 10.2991/mems.2012.186
ID  - Yuzhuo2012/12
ER  -