A Fluid Flow Model for Empty Container Repositioning Policy with a Single Port and Stochastic Demand

2010 ◽  
Vol 48 (5) ◽  
pp. 3623-3642 ◽  
Author(s):  
Dong-Ping Song ◽  
Qing Zhang
Keyword(s):  
Fluid Flow ◽  
Flow Model ◽  
Single Port ◽  
Stochastic Demand ◽  
Empty Container ◽  
Empty Container Repositioning

scholarly journals Stochastic Empty Container Repositioning Problem with CO2 Emission Considerations for an Intermodal Transportation System

2018 ◽  
Vol 10 (11) ◽  
pp. 4211 ◽  
Author(s):  
Yi Zhao ◽  
Qingwan Xue ◽  
Xi Zhang
Keyword(s):  
Co2 Emission ◽  
Stochastic Demand ◽  
Transportation System ◽  
Nonlinear Integer Programming ◽  
Intermodal Transportation ◽  
Empty Container ◽  
Demand And Supply ◽  
Total Cost ◽  
Related Cost ◽  
Empty Container Repositioning

As one of main challenge for carriers, empty container repositioning is subject to various uncertain factors in practice, which causes more operation costs. At the same time, the movements of empty containers can result in air pollution because of the CO2 emission, which has a negative impact on sustainable development. To incorporate environmental and stochastic characteristics of container shipping, in this paper, an empty container repositioning problem, taking into account CO2 emission, stochastic demand, and supply, is introduced in a sea–rail intermodal transportation system. This problem is formulated as a chance-constrained nonlinear integer programming model minimising the expected value of total weighted cost. A sample average approximation method is applied to convert this model into its deterministic equivalents, which is then solved by the proposed two-phase tabu search algorithm. A numerical example is studied to conclude that the stochastic demand and supply lead to more repositioning and CO2 emission-related cost. Total cost, inventory cost, and leasing cost increase with the variabilities of uncertain parameters. We also found that the total cost and other component costs are strongly dependent on the weights of repositioning cost and CO2 emission-related cost. Additionally, the sensitivity analysis is conducted on unit leasing cost.

A Non-Newtonian Fluid Flow Model for the Slip Condition on Blood Flow through a Stenosed Artery using Power-law Fluid

2018 ◽  
Vol 9 (7) ◽  
pp. 871-879
Author(s):  
Rajesh Shrivastava ◽  
R. S. Chandel ◽  
Ajay Kumar ◽  
Keerty Shrivastava and Sanjeet Kumar
Keyword(s):  
Blood Flow ◽  
Fluid Flow ◽  
Newtonian Fluid ◽  
Power Law ◽  
Flow Model ◽  
Slip Condition ◽  
Power Law Fluid ◽  
Stenosed Artery ◽  
Flow Through

Generalized Fluid Flow Model for Ceramic Tape Casting

1995 ◽  
Vol 78 (9) ◽  
pp. 2497-2503 ◽  
Author(s):  
Rangarajan Pitchumani ◽  
Vistasp M. Karbhari
Keyword(s):  
Fluid Flow ◽  
Flow Model ◽  
Tape Casting ◽  
Ceramic Tape

Determining optimal inland-empty-container depot locations under stochastic demand

2013 ◽  
Vol 42 (1) ◽  
pp. 50-60 ◽  
Author(s):  
Neha Mittal ◽  
Maria Boile ◽  
Alok Baveja ◽  
Sotiris Theofanis
Keyword(s):  
Stochastic Demand ◽  
Empty Container

Study of the Response of PW Traffic Flow Model to a Bottleneck on a Circular Road and its Suitability for Heterogeneous Traffic Conditions

2021 ◽  
Vol 9 (4) ◽  
pp. 460-463
Keyword(s):  
Fluid Flow ◽  
Traffic Flow ◽  
Flow Model ◽  
Equation Model ◽  
Heterogeneous Traffic ◽  
Flow Conditions ◽  
Flow Models ◽  
Traffic Conditions ◽  
Model Response ◽  
Traffic Flow Models

The traffic flow conditions in developing countries are predominantly heterogeneous. The early developed traffic flow models have been derived from fluid flow to capture the behavior of the traffic. The very first two-equation model derived from fluid flow is known as the Payne-Whitham or PW Model. Along with the traffic flow, this model also captures the traffic acceleration. However, the PW model adopts a constant driver behavior which cannot be ignored, especially in the situation of heterogeneous traffic.This research focuses on testing the PW model and its suitability for heterogeneous traffic conditions by observing the model response to a bottleneck on a circular road. The PW model is mathematically approximated using the Roe Decomposition and then the performance of the model is observed using simulations.

Sign in / Sign up

Export Citation Format

Share Document