Environmentally conscious logistics planning for food grain industry considering wastages employing multi objective hybrid particle swarm optimization
Subjectsfood grain transportation
GHG emissions reduction
MetadataShow full item record
AbstractThis 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.
CitationMaiyar LM, Thakkar JJ (2019) 'Environmentally conscious logistics planning for food grain industry considering wastages employing multi objective hybrid particle swarm optimization', Transportation Research Part E: Logistics and Transportation Review, 127 (), pp.220-248.
The following license files are associated with this item:
- Creative Commons
Except where otherwise noted, this item's license is described as Green - can archive pre-print and post-print or publisher's version/PDF