A Green Logistics Solution for Last Mile Deliveries Considering E-Van And E-Cars-Bike Using Fuzzy Inventory

Volume 20 No 10 (2022)

M.Nagamani , G.Balaji

DOI: 10.14704/nq.2022.20.10.NQ55296

Abstract

Urban sustainable energy projects and climate change are mostly oriented on efficient and environmentally road networks. In this study, we propose a new green procurement approach for last-mile supplies that takes into account the synchronisation of e-cargo cyclists and t s as a three separate autonomous motor. Using both the crisp and fuzzy model. Here Q is seized as trapezoidal fuzzy numbers and deffuzying the model by using Grade Mean Integration. The target of this paper is to control pollution.

Keywords

Total cost, Langrange method, Quadratic Irregular Number, Assessed Mean Inclusion

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