Proceedings of the 3rd Annual 2017 International Conference on Management Science and Engineering (MSE 2017)

Purchasing Strategy Analysis Based on the Relative Value of the Purchasing Material

Authors
Xiao-Juan Bai, Yun-Peng Gao
Corresponding Author
Xiao-Juan Bai
Available Online October 2017.
DOI
10.2991/mse-17.2017.20How to use a DOI?
Keywords
ABC classification, C.V analysis, purchasing strategy
Abstract

This paper start from the value of materials and the availability of market supply and then put forward the definition of relative value that according to the market availability;Next combined with C.V analysis, on the basis of relative value of materials and the stable demand of the companies, the materials segmentary matrix is designed; Finally, the purchasing materials positioning model is established, and the purchasing strategy analyses can be provided according to the characteristics of the purchased materials.

Copyright
© 2017, 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 3rd Annual 2017 International Conference on Management Science and Engineering (MSE 2017)
Series
Advances in Economics, Business and Management Research
Publication Date
October 2017
ISBN
978-94-6252-394-4
ISSN
2352-5428
DOI
10.2991/mse-17.2017.20How to use a DOI?
Copyright
© 2017, 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  - Xiao-Juan Bai
AU  - Yun-Peng Gao
PY  - 2017/10
DA  - 2017/10
TI  - Purchasing Strategy Analysis Based on the Relative Value of the Purchasing Material
BT  - Proceedings of the 3rd Annual 2017 International Conference on Management Science and Engineering (MSE 2017)
PB  - Atlantis Press
SP  - 73
EP  - 77
SN  - 2352-5428
UR  - https://doi.org/10.2991/mse-17.2017.20
DO  - 10.2991/mse-17.2017.20
ID  - Bai2017/10
ER  -