Cruise Tourism Product Developing Model Optimization Based on Demand Forecasting

2015 ◽  
Author(s):  
Ou Yangwei
Keyword(s):  
Demand Forecasting ◽  
Model Optimization ◽  
On Demand ◽  
Tourism Product ◽  
Cruise Tourism

scholarly journals Restaurants store management based on demand forecasting

Procedia CIRP ◽  
2020 ◽  
Vol 88 ◽  
pp. 580-583
Author(s):  
Takashi Tanizaki ◽  
Tomohiro Hoshino ◽  
Takeshi Shimmura ◽  
Takeshi Takenaka
Keyword(s):  
Demand Forecasting ◽  
On Demand ◽  
Store Management

scholarly journals Relief Demand Calculation in Humanitarian Logistics Using Material Classification

2020 ◽  
Vol 17 (2) ◽  
pp. 582
Author(s):  
Jianfang Shao ◽  
Changyong Liang ◽  
Xihui Wang ◽  
Xiang Wang ◽  
Liang Liang
Keyword(s):  
Disaster Response ◽  
Demand Forecasting ◽  
Humanitarian Logistics ◽  
New Method ◽  
On Demand ◽  
Material Classification ◽  
Response Practice ◽  
Different Types ◽  
General Method

Demand calculation, which is the base of most logistics decisions and activities, is a critical work in humanitarian logistics (HL). However, previous studies on demand calculation in HL mainly focus on demand forecasting methodology, with many neglecting the checklist of critical supplies and practice background. This work proposes a new method for relief demand calculation by dividing the process into two parts: supply classification and demand calculation. A general method for classifying relief supplies and clarifying the checklist of relief items for multi-disaster and multiple natural scenarios is given in detail, followed by the procedure of demand calculation for each relief material. The authors present a case study to validate the feasibility and effectiveness of the proposed method based on the disaster response practice in China. Detailed lists of relief demand for different types and severities of disaster are provided.

scholarly journals Demand forecasting and information platform in tourism

Open Physics ◽  
2017 ◽  
Vol 15 (1) ◽  
pp. 247-252 ◽  
Author(s):  
Yue Li ◽  
Qi-Jie Jiang
Keyword(s):  
Mathematical Model ◽  
Supply Chain ◽  
Information Processing ◽  
Information Asymmetry ◽  
Demand Forecasting ◽  
Bullwhip Effect ◽  
Information Platform ◽  
On Demand ◽  
Processing Ability ◽  
Tourism Supply Chain

AbstractInformation asymmetry and the bullwhip effect have been serious problems in the tourism supply chain. Based on platform theory, this paper established a mathematical model to explore the inner mechanism of a platform’s influence on stakeholders’ ability to forecast demand in tourism. Results showed that the variance of stakeholders’ demand predictions with a platform was smaller than the variance without a platform, which meant that a platform would improve predictions of demand for stakeholders. The higher information-processing ability of the platform also had other effects on demand forecasting. Research on the inner logic of the platform’s influence on stakeholders has important theoretical and realistic value. This area is worthy of further study.

Cruise tourism demand forecasting - the case of Dubrovnik

2013 ◽  
Vol 19 (1) ◽  
pp. 125-142
Author(s):  
Ivana Pavlić
Keyword(s):  
Local Community ◽  
Arima Model ◽  
Demand Forecasting ◽  
Management Policy ◽  
Tourism Demand ◽  
Average Growth ◽  
Cruise Ships ◽  
Short Period ◽  
Cruise Tourism ◽  
The Mediterranean

The purpose – Cruising is nowadays a mass phenomenon since an increasing number of passengers worldwide have been taking part in this form of tourism. Therefore the purpose of this paper is to forecast cruise tourism demand at the level of micro destination. Design/Methodology/Approach – Dubrovnik has become one of the most important and most frequently visited destinations for cruise tourism in the Mediterranean. The rapidly increasing number of passengers on cruise voyages has put Dubrovnik among the leading cruise destinations in the Mediterranean. Dubrovnik is now facing the problem of concentration of a large number of ships and passengers in a short period of time. Consequently, this paper aims at forecasting the number of passengers from cruise ships within the next five year period in order to highlight eventual consequences and the necessity for implementation of a different management policy in accepting cruise ships and passengers at the destination to satisfy the requirements of both the passengers from cruisers and stationary tourists on one side and on the other side to improve the living standards of the local community. For this purpose the seasonal ARIMA model has been used which incorporates both seasonal autoregressive and moving average factor in the modelling process. Findings – With application of the above mentioned model and having in mind that forecasting was carried out under assumption that there will be no significant changes in the existing conditions it is to be concluded the cruise ship passenger arrivals in Dubrovnik area in 2015 will reach 1.294.316 making an increase of 31% in comparison with the year 2011 at an average growth rate of 7.06%. Originality of the research – Research was carried out to indicate the necessity for implementation of the new model of management for passengers from cruise ships by tourism destination management.

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