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Environmentally conscious logistics planning for food grain industry considering wastages employing multi objective hybrid particle swarm optimization
Published in Elsevier Ltd
2019
Volume: 127
   
Pages: 220 - 248
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. © 2019 Elsevier Ltd
About the journal
JournalData powered by TypesetTransportation Research Part E: Logistics and Transportation Review
PublisherData powered by TypesetElsevier Ltd
ISSN13665545