Simulation of Tourism Supply Chain Collaborative Demand Forecast
- Hao-yuan Zhang, Hua Bai
- Corresponding Author
- Hao-yuan Zhang
Available Online August 2016.
- https://doi.org/10.2991/icassr-15.2016.182How to use a DOI?
- Tourism supply chain (TSC), Collaborative demand forecast, simulation.
- 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.
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 SN - 1951-6851 UR - https://doi.org/10.2991/icassr-15.2016.182 DO - https://doi.org/10.2991/icassr-15.2016.182 ID - Zhang2016/08 ER -