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

Lohithaksha M Maiyar and Jitesh J Thakkar

Transportation Research Part E: Logistics and Transportation Review, 2019, vol. 127, issue C, 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.

Keywords: Food grain transportation; GHG emissions reduction; Sustainability; Multi-objective optimization; MOPSODE; NSGA II (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (9)

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DOI: 10.1016/j.tre.2019.05.006

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