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

Pankaj Gupta, Kannan Govindan*, Mukesh Kumar Mehlawat, Anisha Khaitan

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

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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.

Original languageEnglish
JournalInternational Journal of Production Research
Volume60
Issue number8
Pages (from-to)2369-2385
ISSN0020-7543
DOIs
Publication statusPublished - 2022

Keywords

  • Capacitated VRP
  • fuzzy rule-based ranking
  • genetic algorithm
  • green logistics
  • split delivery

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