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An Integrated Framework for Dynamic Vehicle Routing Problems with Pick-up and Delivery and Time Windows and Shared Fleet Capacity Planning Eyup Tolunay Kup, Salih Cebeci, Barıs Bayram, Gozde Aydın, Burcin Bozkaya, Raha Akhavan-Tabatabae Files : 1) exp3_19vehicle_problem.json -> The non-scaled problem that used in the Section 5.3 in the paper. 2) exp3__19vehicle_distMatrix.txt -> Distance matrix for the non-scaled problem that used in the Section 5.3 in the paper. 3) exp3_3vehicle_problem.json -> The 3-vehicle scaled problem that used in the Section 5.3 in the paper. 4) exp3_3vehicle_distMatrix.txt -> Distance matrix for the 3-vehicle scaled problem that used in the Section 5.3 in the paper. Problem File Details : - "delivery" subset includes informations about all location nodes and deliveries. - "vehicle" subset includes informations about all vehicles. - "detail" subset includes informations about problem details such as problem delivery startTime, endTime. - The node with "deliveryID" = 0 represents the cross-dock. - Nodes with "market" = true represent market locations (time-windowed fast delivery collection points). - Nodes with "marketDelivery" = true represent market deliveries (time-windowed fast deliveries). - The "orderTime" key represents the time when the order was placed and details arrived at the cross-dock. - The "serviceTime" key represents the required service time for delivering the relevant delivery, in seconds. - The "productCode" key distinguishes the relevant product type of the delivery. HX_EX stands for time-windowed fast deliveries, and HX_STD stands for standard shipments. - The "marketId" key represents the relevant collection point ID for market (time-windowed fast delivery) deliveries. - The "deliveryStartTime" and "deliveryEndTime" keys represent time window information for relevant deliveries.
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Dataset For An Integrated Framework for Dynamic Vehicle Routing Problems with Pick-up and Delivery and Time Windows and Shared Fleet Capacity Planning
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