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Solving a multi-objective sustainable waste collection problem considering a new collection network

Author

Listed:
  • Hamed Farrokhi-Asl

    (Iran University of Science and Technology)

  • Ahmad Makui

    (Iran University of Science and Technology)

  • Armin Jabbarzadeh

    (Iran University of Science and Technology
    Ecole de technologie superieure (ETS))

  • Farnaz Barzinpour

    (Iran University of Science and Technology)

Abstract

Waste collection management is considered as one of the important issues in sustainable logistics design which is one of the new concepts in supply chain management. In recent years, researchers’ attentions are attracted to apply green and sustainable concepts in their researches. This paper presents a novel multi-objective mathematical model considering a new collection network for waste collection problem. We are interested in the location decisions in design phase of the network and waste collection decisions in operational phase. The problem consists of activities related to collection, treatment, recycling, and disposal of hazardous wastes in multi stage network. Three objective functions including operational cost and social costs are considered, simultaneously. The model is used to evaluate fuel consumption and carbon dioxide emission and its impact on environment. A new hybrid meta-heuristic algorithm is designed to solve the problem and a new way to represent solutions is provided. Finally, experimental results are conducted and the results obtained by proposed algorithm are compared to four well-known meta-heuristic algorithms with respect to five comparison metrics. The results show the efficiency of proposed algorithm in some comparison metrics.

Suggested Citation

  • Hamed Farrokhi-Asl & Ahmad Makui & Armin Jabbarzadeh & Farnaz Barzinpour, 2020. "Solving a multi-objective sustainable waste collection problem considering a new collection network," Operational Research, Springer, vol. 20(4), pages 1977-2015, December.
    • Handle: RePEc:spr:operea:v:20:y:2020:i:4:d:10.1007_s12351-018-0415-0
    DOI: 10.1007/s12351-018-0415-0
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    References listed on IDEAS

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    Cited by:

    1. Lavigne, Carolien & Inghels, Dirk & Dullaert, Wout & Dewil, Reginald, 2023. "A memetic algorithm for solving rich waste collection problems," European Journal of Operational Research, Elsevier, vol. 308(2), pages 581-604.
    2. Salehi-Amiri, Amirhossein & Akbapour, Navid & Hajiaghaei-Keshteli, Mostafa & Gajpal, Yuvraj & Jabbarzadeh, Armin, 2022. "Designing an effective two-stage, sustainable, and IoT based waste management system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 157(C).

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