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- W4387682147 abstract "Warehouse dwell time ( <italic xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>WDT</i> ) of a truck is a critical metric for evaluating plant-logistics efficiency, including the time of the truck's queuing outside and loading inside the warehouse. But <italic xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>WDT</i> prediction is challenging as it is affected by diverse factors like loading distinct types and weights of the cargoes, and varying amounts of loading tasks in different time slots. Besides, each trucks' <italic xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>WDT</i> is transitively influenced by its preceding trucks' loading time in the queue. In this paper, we propose a multi-block dwell time prediction framework consisting of <italic xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>LSTM</i> model and self-attention mechanism, called SDP. In view of that low performance of <italic xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>SDP</i> brought by sparse loading data of some warehouses, we further design a multi-source adaptation based block-to-block transfer learning module. We present a warehouse similarity measurement based on loading tasks allocated and loading ability of the warehouses, according to which we enhance overall prediction performance by learning from high-performance <italic xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>WDT</i> prediction models of similar warehouses. Experimental results on a large-scale logistics data set demonstrate that our proposal can reduce Mean Absolute Percentage Error (MAPE) by an average of 10.0%, Mean Absolute Error(MAE) by an average of 16.5%, and Root Mean Square Error(RMSE) by an average of 17.0% as compared to the baselines." @default.
- W4387682147 created "2023-10-17" @default.
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- W4387682147 date "2023-01-01" @default.
- W4387682147 modified "2023-10-17" @default.
- W4387682147 title "Multi-source Domain Adaptation Enhanced Warehouse Dwell Time Prediction" @default.
- W4387682147 doi "https://doi.org/10.1109/tkde.2023.3324656" @default.
- W4387682147 hasPublicationYear "2023" @default.
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