Proceedings of the 2017 7th International Conference on Manufacturing Science and Engineering (ICMSE 2017)

Evaluation Model of Equipment's Operational Readiness Based on Entropy Weight Method and VIKOR Method

Authors
Xinpeng Wang
Corresponding Author
Xinpeng Wang
Available Online April 2017.
DOI
10.2991/icmse-17.2017.5How to use a DOI?
Keywords
Operational readiness; Entropy weight method; VIKOR method.
Abstract

To solve the problem of lacking of systematic evaluation of the equipment's operational readiness that brings much difficulty to adapt to the requirements of the current transformation and construction equipment support, an evaluation model of operational readiness integrating entropy weight method and VIKOR method are established based on the selection of the proper operational readiness index. According to the relevant information of equipment service, the model is evaluated and validated. It is proved that this method can effectively evaluate equipment's operational readiness, and the research conclusion has certain reference significance for improving equipment's operational readiness.

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 2017 7th International Conference on Manufacturing Science and Engineering (ICMSE 2017)
Series
Advances in Engineering Research
Publication Date
April 2017
ISBN
978-94-6252-327-2
ISSN
2352-5401
DOI
10.2991/icmse-17.2017.5How 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  - Xinpeng Wang
PY  - 2017/04
DA  - 2017/04
TI  - Evaluation Model of Equipment's Operational Readiness Based on Entropy Weight Method and VIKOR Method
BT  - Proceedings of the 2017 7th International Conference on Manufacturing Science and Engineering (ICMSE 2017)
PB  - Atlantis Press
SP  - 28
EP  - 33
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmse-17.2017.5
DO  - 10.2991/icmse-17.2017.5
ID  - Wang2017/04
ER  -