Optimisation of Fuel Consumption by Taguchi Method in Logistics Systems
Author(s) -
P. Benrajesh
Publication year - 2019
Publication title -
international journal of mechanical and production engineering research and development
Language(s) - English
Resource type - Journals
eISSN - 2249-6890
pISSN - 2249-8001
DOI - 10.24247/ijmperdapr20196
Subject(s) - taguchi methods , fuel efficiency , consumption (sociology) , manufacturing engineering , automotive engineering , process engineering , business , operations management , waste management , computer science , engineering , machine learning , social science , sociology
Research studies on fuel consumption of logistics systems for developing countries is relatively less explored in par with developed countries. Day by day, the consumption of fossil fuels is increasing due to dense traffic, heavy cargo loads, evolving of e-retailing services, erratic drivers etc. This research work considers six key factors for analysis, with an intent of reducing fuel consumption of Logistics Service Providers(LSP). The data collected from logistics service providers, located in India through email; and then it is analysed using Taguchi Method, to find the high influencing factor on fuel consumption to the greater levels. The identified six factors are dead weight of vehicle, mileage per litre, percentage of fuel spent in idle time, span of distance covered, payload of vehicle and average time spent in traffic. The results are obtained based on the condition: smaller the better and it is validated by the LSP.
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