Minimizing Fuel Emissions and Cargo Travel Time using Green Logistics

Abstract

Sustainable transportation has become a critical issue for conserving the environment (ozone depletion, acid rain, and smog). Mass cargo transporters are in urge to find solutions for decreasing emissions (sea and road) and to improve the cargo transit time, by implementing green logistics. This study develops a decision-making model, which provides smart results by multi-proportion principle (60/40, 70/30) from source to destination. Based on the data, the model estimates the emission quantity and the time required to reach destinations. The findings show that increasing the usage of ships for cargo transit services has a positive impact on the emission of an entire supply chain (i.e. CO2 emissions reduced to 25% of the original value).