Simulation of Tourism Supply Chain Collaborative Demand Forecast

DOI

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.

Copyright

© 2016, 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/).

Download article (PDF)

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  - Proceedings of the 3d International Conference on Applied Social Science Research
PB  - Atlantis Press
SP  - 656
EP  - 659
SN  - 1951-6851
UR  - https://doi.org/10.2991/icassr-15.2016.182
DO  - 10.2991/icassr-15.2016.182
ID  - Zhang2016/08
ER  -