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A bibliometric and social network analysis of data-driven heuristic methods for logistics problems
2022
Journal of Industrial and Management Optimization
<p style='text-indent:20px;'>Transport and logistics systems include a range of activities that deal with all sorts of decisions and operations from material handling to vehicle routing. One of the main challenges for transport and logistics processes is to deal with large-scale and complex problems. However, with increasingly diverse sets of operational real-world data becoming available, data-driven heuristic approaches are promising to pave the path for solving the problems in the field of
doi:10.3934/jimo.2022190
fatcat:qcf2h5bvnzcdlac6mq76ylr5ny