Research Article
Optimising Supply Chain Logistics System Using Data Analytics Techniques
@INPROCEEDINGS{10.1007/978-3-030-38822-5_6, author={Eleni Mangina and Pranav Narasimhan and Mohammad Saffari and Ilias Vlachos}, title={Optimising Supply Chain Logistics System Using Data Analytics Techniques}, proceedings={Intelligent Transport Systems. From Research and Development to the Market Uptake. Third EAI International Conference, INTSYS 2019, Braga, Portugal, December 4--6, 2019}, proceedings_a={INTSYS}, year={2020}, month={1}, keywords={Supply chain strategies Transport optimisation Carbon emissions reduction}, doi={10.1007/978-3-030-38822-5_6} }- Eleni Mangina
Pranav Narasimhan
Mohammad Saffari
Ilias Vlachos
Year: 2020
Optimising Supply Chain Logistics System Using Data Analytics Techniques
INTSYS
Springer
DOI: 10.1007/978-3-030-38822-5_6
Abstract
The transport sector’s share of global energy-related carbon emissions is about 23%. Transportation and logistics can improve the economic growth of nations and profitability in businesses, and if efficiently designed and managed their carbon footprints will be reduced. Important progresses have been made to enhance the efficiency of logistics supply chain using mathematical optimisation techniques. However, recent needs in collaborative supply chain on one hand, and advancements in data science have heightened the need for optimisation techniques based on big data analytics. This paper studies and evaluates models for European freight transport logistics actions utilising advanced data analytics solutions. Three new supply chain algorithms of horizontal collaboration, pooling, and physical internet have been developed using historical data of European road freight transport. Then, two indicators of sustainability and efficiency were used to evaluate each developed strategy. The results have shown that there is substantial potential in pursuing these strategies and encourages future research into logistic supply chain and data analytic methods for designing sustainable transport systems.