Proceedings of the Advances in Materials, Machinery, Electrical Engineering (AMMEE 2017)

Network Data Envelopment Analysis with Intermediate Products Structure

Authors
Xiaokun Zhang, Ling Li, Xuliang Lyu, Xiaopeng Li
Corresponding Author
Xiaokun Zhang
Available Online June 2017.
DOI
10.2991/ammee-17.2017.76How to use a DOI?
Keywords
DEA, network structure, intermediate product, assignable input.
Abstract

Traditional Data envelopment analysis models make no hypothesis concerning the internal operations in a "black box". To open the "black box", we put forward a type of network DEA structure with several sub-DMUs linked by intermediate products. The input node and output node also represent the entrance and exit of the box. However, the input is assignable in the paper. We suggested a suitable model to deal with intermediate products between divisions with assignable inputs in the network structure. The model enables us to pry into the internal operations of DEA by network structure with intermediate products and assignable input. We finally illustrate the calculation procedure of the proposed algorithm by a numerical example.

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 Advances in Materials, Machinery, Electrical Engineering (AMMEE 2017)
Series
Advances in Engineering Research
Publication Date
June 2017
ISBN
978-94-6252-350-0
ISSN
2352-5401
DOI
10.2991/ammee-17.2017.76How 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  - Xiaokun Zhang
AU  - Ling Li
AU  - Xuliang Lyu
AU  - Xiaopeng Li
PY  - 2017/06
DA  - 2017/06
TI  - Network Data Envelopment Analysis with Intermediate Products Structure
BT  - Proceedings of the Advances in Materials, Machinery, Electrical Engineering (AMMEE 2017)
PB  - Atlantis Press
SP  - 400
EP  - 405
SN  - 2352-5401
UR  - https://doi.org/10.2991/ammee-17.2017.76
DO  - 10.2991/ammee-17.2017.76
ID  - Zhang2017/06
ER  -