A Comparative Model Study on the Intermittent Demand Forecast of Air Cargo - Focusing on Croston and Holts models -

2021 ◽  
Vol 37 (1) ◽  
pp. 71-85
Author(s):  
Byung-Cheol Yoo ◽  
Young-Tae Park
Keyword(s):  
Air Cargo ◽  
Demand Forecast ◽  
Intermittent Demand ◽  
Model Study ◽  
Comparative Model

Instabilities in the Agulhas Retroflection Current system: A comparative model study

2000 ◽  
Vol 105 (C2) ◽  
pp. 3233-3241 ◽  
Author(s):  
N. C. Wells ◽  
V. O. Ivchenko ◽  
S. E. Best
Keyword(s):  
Current System ◽  
System A ◽  
Model Study ◽  
Comparative Model

A Comparative Model Study of Respiratory Period Prediction on Men Exercising While Wearing Masks

1980 ◽  
Vol BME-27 (8) ◽  
pp. 430-439 ◽  
Author(s):  
Arthur T. Johnson ◽  
Richard H. McCuen
Keyword(s):  
Model Study ◽  
Comparative Model

Comparative Model Study of Geosynthetic Pull-Out Response

1999 ◽  
Vol 6 (1) ◽  
pp. 53-68 ◽  
Author(s):  
N. Gurung ◽  
Y. Iwao
Keyword(s):  
Pull Out ◽  
Model Study ◽  
Comparative Model

Discrete choice model for air-cargo mode selection

2014 ◽  
Vol 25 (3) ◽  
pp. 656-672 ◽  
Author(s):  
Subhro Mitra ◽  
Steven M. Leon
Keyword(s):  
Discrete Choice ◽  
Choice Model ◽  
Mode Choice ◽  
Mode Selection ◽  
Discrete Choice Model ◽  
Air Cargo ◽  
Demand Forecast ◽  
Content Type ◽  
Preference Data ◽  
Factors Influencing

Purpose – The purpose of this paper is to develop a better understanding of the factors that influence a shipper's decision to choose air cargo as a mode of shipment. Design/methodology/approach – A disaggregate multinomial discrete choice model is developed using freight shipment survey data to identify critical factors influencing air cargo mode choice. Disaggregate revealed preference data is obtained from surveying 347 manufacturers, freight forwarders, and other third-party service providers. Findings – The empirical model developed in this research shows that the rate of shipment, time of transit, cost-per-pound shipped, quantity shipped, perishability and delay rate of the mode are significant factors that influence mode choice. Research limitations/implications – The discrete choice model developed can be improved by taking into account logistics costs not considered in this research. Perhaps more in-depth surveys of the shippers and freight forwarders are needed. Additionally, improving the mode choice model by including stated preference data and subsequently incorporating service quality latent variables would be beneficial. Practical implications – Identifying the sensitivity of the shippers to various factors influencing mode selection enables transportation planners make better demand forecast for each mode of transportation. Originality/value – This paper extends previous mode choice studies by analyzing mode selection between air cargo and other modes. Better forecasting is achieved by replacing the logit model with probit, heteroscedastic extreme value and mixed logit models.

scholarly journals Comparative model study of mechanical resistance of intestinal and stomach walls to the pressure in the device prototype for circular anastomosis

2018 ◽  
Vol 0 (2.37) ◽  
pp. 44-50
Author(s):  
S.S. Podpriatov ◽  
S.E. Podpriatov ◽  
G.S. Marinsky ◽  
O.V. Chernets ◽  
V.A. Tkachenko ◽  
...  
Keyword(s):  
Mechanical Resistance ◽  
Model Study ◽  
Comparative Model ◽  
Circular Anastomosis
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