Generating delivery plans in real time by dynamically evaluating multiple scenarios
by Yihuan Yang
M.Phil. Industrial Engineering and Logistics Management
ix, 40 pages : illustrations ; 30 cm
Many Internet sellers now commit a very short lead-time for delivery upon the confirmation of orders. This requires to generate a delivery routing plan in real time. This
thesis presents a solution framework that dynamically traces the buyers′ ordering process.
The core is a genetic algorithm designed to consider multiple possible delivery scenarios at
the same time. It generates a pool containing situations which are more likely to happen
and adjust the pool according to current customers′ purchasing progress. With consideration of possible scenarios in advance, a delivery route with low cost can be obtained immediately after the cut-off time.
Keywords: Delivery with multiple scenarios, TSP, Genetic Algorithm
Permanent URL for this record: https://lbezone.hkust.edu.hk/bib/b1781041
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