scholarly journals Decision Making for Heavy Commercial Vehicle Choice Problem in Logistics Industry Using COPRAS-G Method

2017 ◽  
Vol 19 (1) ◽  
pp. 153-178
Author(s):  
Ebül Muhsin DOĞAN ◽  
Miraç EREN ◽  
Kayhan ÇELİK
Keyword(s):  
Decision Making ◽  
Commercial Vehicle ◽  
Choice Problem ◽  
Logistics Industry ◽  
Vehicle Choice ◽  
Heavy Commercial Vehicle

Robust augmented H∞ shift control strategy for power-split system with a two-speed AMT gearbox of a heavy commercial vehicle

2020 ◽  
pp. 095440702097709
Author(s):  
Xiaohua Zeng ◽  
Zhenwei Wang ◽  
Dafeng Song ◽  
Dongpo Yang
Keyword(s):  
Control Strategy ◽  
Commercial Vehicle ◽  
Kinetic Equations ◽  
Substantial Improvement ◽  
Transmission System ◽  
Power Sources ◽  
Shift Control ◽  
Power Split ◽  
Heavy Commercial Vehicle ◽  
Split System

The coordination control of a transmission system has gradually attracted more attention with the development of hybrid electric vehicles. However, nonlinear coupling of multiple power sources, superposition of different dynamic characteristics in multiple components, and withdrawal and intervention for a power-split powertrain with a two-speed automated manual transmission (AMT) gearbox can cause jerk and vibration of the transmission system during the shift, which has higher requirements and challenges for the overall performance improvement of the system. This paper designs a novel, robust, augmented H∞ shift control strategy for a power-split system with a two-speed AMT gearbox of a heavy commercial vehicle and verifies the strategy’s effectiveness with simulations and experiments. First, the dynamic plant model and kinetic equations are established, and the shift is divided into five stages to clearly reveal the jerk and vibration problem. Based on augmented theory, a robust H∞ shift control strategy is proposed. Shift coordination is transformed into a speed tracking problem, and state variable and disturbance are reconstructed to obtain a new augmented system. Simulation and hardware-in-the-loop test are carried out to verify the effectiveness of the strategy, which mainly includes simulation of pneumatic actuator and H∞ control strategy. Results show that the proposed H∞ control strategy can greatly reduce the jerk of the transmission system. The jerk produced by the proposed strategy is decreased from 20.4 to 4.07 m/s3, leading to a substantial improvement of 80%. Therefore, the proposed strategy may offer a theoretical reference for the actual vehicle controller during the shift.

Research on the Development of the Logistics Industry

2014 ◽  
Vol 687-691 ◽  
pp. 4568-4572
Author(s):  
Hai Chen Zhan
Keyword(s):  
Economic Growth ◽  
Decision Making ◽  
Economic Development ◽  
Division Of Labor ◽  
Gansu Province ◽  
Policy Recommendations ◽  
Logistics Industry ◽  
The Social ◽  
Econometric Approach ◽  
The Relationship

Modern logistics industry as an emerging industry, with the industrial division of labor with the social refinement and depth, to promote China's economic development has become an important industry and new economic growth point. This paper uses econometric approach to relations of the logistics industry and economic growth in Gansu Province made an empirical analysis reveals and Reveals the relationship between logistics industry and economic development in Gansu Province And for the results of the analysis are summarized and give relevant policy recommendations, hoping to provide a reference for the development of decision-making in Gansu.

Research on the logistics development level and spatial differentiation in node city with gray target decision model

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Wuyong Qian ◽  
Lizhen Wang ◽  
Jue Wang ◽  
Qianqian Chen
Keyword(s):  
Decision Making ◽  
Factor Analysis ◽  
Panel Data ◽  
Clustering Analysis ◽  
Spatial Differentiation ◽  
Logistics Industry ◽  
Content Type ◽  
Regional Logistics ◽  
Development Level ◽  
Objective Evidence

PurposeThe purpose of this study is to master the development process and the construction effectiveness of backbone circulation network in an all-round way, formulate regional logistics development planning as well as promote the development of logistics industry by scientifically evaluating the logistics development of node cities with a view to analyzing their spatial differentiation features.Design/methodology/approachIn this paper, an integrated evaluation model is constructed by adopting factor analysis, gray target decision-making model based on cone volume and other methods so as to evaluate the logistics development of node cities. The dimensionality of three-dimensional panel data is reduced by factor analysis at first. Then, the gray target decision-making method based on cone volume is adopted to evaluate the development of node cities, whose evaluation results are carried out through the clustering analysis. The clustering analysis is used to determine the development level of node cities and to extract the spatial differentiation features of node cities.FindingsThe results show that the proposed model can comprehensively evaluate the logistics level of node cities and clarify the overall logistics development and spatial differentiation of node cities, which could provide objective evidence for formulating national policies as well as promoting the balanced and coordinated development of regional logistics in China.Originality/valueThe paper succeeds in overcoming the disadvantages of existing methods assessing the logistics development level, such as principal component analysis and factor analysis, which are not applicable to panel data.

Ride Optimization for a Heavy Commercial Vehicle

2014 ◽  
Vol 7 (1) ◽  
pp. 150-156 ◽  
Author(s):  
Hengjia Zhu ◽  
Yuliang Yang ◽  
Yu Yang ◽  
Jian Zeng ◽  
Yunqing Zhang
Keyword(s):  
Commercial Vehicle ◽  
Heavy Commercial Vehicle
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