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Environmentally conscious logistics planning for food grain industry considering wastages employing multi objective hybrid particle swarm optimization

  • Lohithaksha Maiyar
    ,
  • Jitesh J. Thakkar
Research Output:
Contribution to journal
Article
 Peer-review

Open access

Abstract

This paper develops a hub and spoke network based multi-objective green transportation model for evaluating optimal shipment quantity, modal choice, route selection, hub location, and vehicle velocity decisions considering wastages in Indian food grain context. A hybrid version of multi-objective meta-heuristic, Multi-Objective Particle Swarm Optimization with Differential Evolution (MOPSODE) is proposed to tackle the resulting non-linear formulation. Benchmarking with NSGA-II confirms the dominance of MOPSODE over NSGAII pertaining to near optimal pareto fronts obtained for the tested cases. Finally, the study derives the economic and environmental impact of varying hub location level, food grain wastage threshold and intermodal hub capacity.

Publication Information

Output type

Research Output:
Contribution to journal
Article
 Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 220-248

Journal (Volume, Issue Number)

Transportation Research Part E: Logistics and Transportation Review (Volume 127)

Publication milestones

  • Accepted/In press - 10/05/2019
  • Published - 28/05/2019

Publication status

Published - 28/05/2019

ISSN

1366-5545

Publication IDs

  • handle.net: 10547/624075
  • Scopus: 85066261042

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