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Ranking of recycling technologies metal components of end of life vehicles by using modified electre

Author

Listed:
  • M. Vulic´

    (Faculty of Economics and Engineering Management, University Business Academy, Novi Sad, Serbia)

  • M. Pavlovic´

    (Faculty of Economics and Engineering Management, University Business Academy, Novi Sad, Serbia)

  • D. Tadic

    (Faculty of Engineering, University of Kragujevac, Kragujevac, Serbia)

  • A. Aleksic

    (Faculty of Engineering, University of Kragujevac, Kragujevac, Serbia)

  • A. Tomovic

    (Faculty of Mechanical Engineering, University of Belgrade, Belgrade, Serbia)

Abstract

The evaluation and selection of recycling technologies presents one of the most important operational manage- ment problems. In this paper, a new fuzzy model to evaluate recycling technologies with respect to numerous criteria, simultaneously, taking into account the type of each criteria and its relative importance. The relative im- portance of criteria and their values are modelled by interval triangular fuzzy numbers type-2. Determining the criteria weights is stated as a fuzzy group decision making problem. The ranking of considered recycling technolo- gies is obtained by applying modißied ELECTRE. A case study with real-life data which come from reverse supply chain existing in the Republic Serbia is presented to illustrate the proposed method. The presented solution en- ables the ranking of recycling technologies and provides base for successful improvement of reverse supply chain management.

Suggested Citation

  • M. Vulic´ & M. Pavlovic´ & D. Tadic & A. Aleksic & A. Tomovic, 2018. "Ranking of recycling technologies metal components of end of life vehicles by using modified electre," Journal of Advances in Technology and Engineering Research, A/Professor Akbar A. Khatibi, vol. 4(4), pages 143-148.
    • Handle: RePEc:apb:jaterr:2018:p:143-148
    DOI: 10.20474/jater-4.4.1
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    References listed on IDEAS

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    1. Ahmad Najim Noorzad & Takuro Sato, 2017. "Multi-Criteria Fuzzy-Based Handover Decision System for Heterogeneous Wireless Networks," International Journal of Technology and Engineering Studies, PROF.IR.DR.Mohid Jailani Mohd Nor, vol. 3(4), pages 159-168.
    2. Savkovic B. & Kovac P. & Mankova I. & Gostimirovic M. & Rokosz K. & Rodic D., 2017. "Surface roughness modeling of semi solid aluminum milling by fuzzy logic," Journal of Advances in Technology and Engineering Research, A/Professor Akbar A. Khatibi, vol. 3(2), pages 34-46.
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    Cited by:

    1. Behnam Pour Pir Ali & Yaser Maddahi, 2019. "Localization of redundant robotic systems with wheeled mobile base: Theory and experiment," Journal of Advances in Technology and Engineering Research, A/Professor Akbar A. Khatibi, vol. 5(2), pages 93-100.

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