Proceedings of the 2017 International Conference on Information Technology and Intelligent Manufacturing (ITIM 2017)

Research on Virtual Enterprise Market Demand Forecast Model Based on Theory of Markov Chain

Authors
Tianrui Zhang, Yingying Su, Hai Dong, Di Liang
Corresponding Author
Tianrui Zhang
Available Online August 2017.
DOI
10.2991/itim-17.2017.13How to use a DOI?
Keywords
Virtual enterprise, supply chain, theory of Markov chain, uncertainty, market demand
Abstract

It was found that market demand was the critical factor for the uncertainty of virtual enterprise by the summarizing of the form of virtual enterprise(VE) supply chain and the analyzing of the uncertainty of the virtual enterprise supply chain. The market demand forecasting model based on Markov chain was established, aiming at the uncertainty of market demand. And it was used into the practical example to prove the feasibility of the mathematical model.

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 International Conference on Information Technology and Intelligent Manufacturing (ITIM 2017)
Series
Advances in Intelligent Systems Research
Publication Date
August 2017
ISBN
10.2991/itim-17.2017.13
ISSN
1951-6851
DOI
10.2991/itim-17.2017.13How 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  - Tianrui Zhang
AU  - Yingying Su
AU  - Hai Dong
AU  - Di Liang
PY  - 2017/08
DA  - 2017/08
TI  - Research on Virtual Enterprise Market Demand Forecast Model Based on Theory of Markov Chain
BT  - Proceedings of the 2017 International Conference on Information Technology and Intelligent Manufacturing (ITIM 2017)
PB  - Atlantis Press
SP  - 49
EP  - 52
SN  - 1951-6851
UR  - https://doi.org/10.2991/itim-17.2017.13
DO  - 10.2991/itim-17.2017.13
ID  - Zhang2017/08
ER  -