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Multiobjective capacitated green vehicle routing problem with fuzzy time-distances and demands split into bags

Author

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  • Pankaj Gupta
  • Kannan Govindan
  • Mukesh Kumar Mehlawat
  • Anisha Khaitan

Abstract

Real-life challenges require proactive measures. Good transportation services and greener alternatives demand steadfast research in the area. Here, an attempt has been made to address such a problem. A particular case of VRP, with deliveries split into bags and triangular fuzzy travel times, has been modelled to minimise fuel emissions. The concepts of fuzzy rule-based implication for ranking and for comparing fuzzy numbers with numeric values, an expected value model, have been drawn upon. A discrete fuzzy-hybridised GA has been developed. Multiple experiments on data in existing works, parameter tuning, and comparative analysis have been performed, thereby corroborating the model's efficacy.

Suggested Citation

  • Pankaj Gupta & Kannan Govindan & Mukesh Kumar Mehlawat & Anisha Khaitan, 2022. "Multiobjective capacitated green vehicle routing problem with fuzzy time-distances and demands split into bags," International Journal of Production Research, Taylor & Francis Journals, vol. 60(8), pages 2369-2385, April.
    • Handle: RePEc:taf:tprsxx:v:60:y:2022:i:8:p:2369-2385
    DOI: 10.1080/00207543.2021.1888392
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