Proceedings of the 3d International Conference on Applied Social Science Research

Simulation of Tourism Supply Chain Collaborative Demand Forecast

Authors
Hao-yuan Zhang, Hua Bai
Corresponding Author
Hao-yuan Zhang
Available Online August 2016.
DOI
https://doi.org/10.2991/icassr-15.2016.182How to use a DOI?
Keywords
Tourism supply chain (TSC), Collaborative demand forecast, simulation.
Abstract
Supply chain collaborative demand forecast has gained more and more attention. In particular, for tourism supply chain (TSC), due to the high market volatility and uncertainty, travel agencies, scenic spots, hotels and other tourism enterprises in the tourism supply chain need a tight collaboration to enhance sharing of information and resources. This paper proposes a simulation method of tourism supply chain collaborative demand forecast to analyze the effectiveness and gain insight.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
3d International Conference on Applied Social Science Research (ICASSR 2015)
Part of series
Advances in Intelligent Systems Research
Publication Date
August 2016
ISBN
978-94-6252-148-3
DOI
https://doi.org/10.2991/icassr-15.2016.182How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Hao-yuan Zhang
AU  - Hua Bai
PY  - 2016/08
DA  - 2016/08
TI  - Simulation of Tourism Supply Chain Collaborative Demand Forecast
BT  - 3d International Conference on Applied Social Science Research (ICASSR 2015)
PB  - Atlantis Press
UR  - https://doi.org/10.2991/icassr-15.2016.182
DO  - https://doi.org/10.2991/icassr-15.2016.182
ID  - Zhang2016/08
ER  -