DocumentCode :
9624
Title :
Energy-Efficient Models of Sustainable Location for a Vehicle Inspection Station With Emission Constraints
Author :
Guangdong Tian ; Yue Liu
Author_Institution :
Transp. Coll., Northeast Forestry Univ., Harbin, China
Volume :
12
Issue :
1
fYear :
2015
fDate :
Jan. 2015
Firstpage :
238
Lastpage :
243
Abstract :
Transportation facility or automotive service enterprise location is an interesting and important issue. To improve transportation efficiency, many researchers have addressed the traditional facility location allocation (FLA) problem, e.g., the FLA problem with the minimum transportation cost or the maximum obtained profit. However, with the improvement of saving energy awareness and the enhancement of environmental concerns, energy efficient and low carbon emission should be considered as key factors influencing the FLA problem. To handle this issue via a more practical method, this work proposes a sustainable location issue for an automotive service enterprise. That is, by taking the vehicle inspection station as a typical automotive service enterprise and an example, this work presents new energy-efficient models of its sustainable location with carbon constraints. An artificial fish swarm algorithm is proposed to solve the proposed models. Some numerical examples are given to illustrate the proposed models and testify the effectiveness of the algorithm.
Keywords :
energy conservation; evolutionary computation; facility location; sustainable development; swarm intelligence; transportation; FLA problem; artificial fish swarm algorithm; automotive service enterprise; automotive service enterprise location; carbon constraints; emission constraints; energy saving awareness; energy-efficient models; maximum obtained profit; minimum transportation cost; sustainable location; transportation efficiency; transportation facility location; vehicle inspection station; Automotive engineering; Biological system modeling; Carbon dioxide; Energy consumption; Inspection; Vehicles; Modeling and simulation; optimization algorithm; sustainable facility location allocation;
fLanguage :
English
Journal_Title :
Automation Science and Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
1545-5955
Type :
jour
DOI :
10.1109/TASE.2014.2360673
Filename :
6935022
Link To Document :
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