Optimising Supply Chain Logistics System Using Data Analytics Techniques

摘要: The transport sector’s share of global energy-related carbon emissions is about 23%. Transportation and logistics can improve the economic growth nations profitability in businesses, if efficiently designed managed their footprints will be reduced. Important progresses have been made to enhance efficiency supply chain using mathematical optimisation techniques. However, recent needs collaborative on one hand, advancements data science heightened need for techniques based big analytics. This paper studies evaluates models European freight actions utilising advanced analytics solutions. Three new algorithms horizontal collaboration, pooling, physical internet developed historical road transport. Then, two indicators sustainability were used evaluate each strategy. results shown that there substantial potential pursuing these strategies encourages future research into logistic analytic methods designing sustainable systems.