• 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