Box Suite Recommendation

This data was used to select box suites for a hypothetical e-commerce retailer based on a set of 5,284 candidate boxes, stored in boxes.csv, a small set of 15,000 shipments, stored in shipments.csv and used for the actual optimization, and a large set of 150,000 shipments, stored in large_shipments.csv and used for validation. Each shipment in shipments.csv and large_shipments.csv is comprised of items selected from a set of 2,324 candidate items stored in items.csv. Each item is assumed to be a 3D rectangular carton with integral outer dimensions, so that foldable items are excluded. No two items have the same sorted outer dimensions. Moreover, none of the items have special packing constraints, such as having to be height-oriented or bottom-resting. Each shipment is comprised of 1 to 8 unique items, where each unique item has quantity 1 to 8 such that there are no more than 8 total cartons in the shipment. That is, the sum of the quantities over all the unique items in a shipment is between 1 and 8. Each candidate box occupies a row in boxes.csv comprised of a unique integral box ID and three integral inner dimensions sorted in nonincreasing order. Each candidate item occupies a row in items.csv comprised of a unique integral item ID and three integral outer dimensions sorted in nonincreasing order. Each row in shipments.csv and large_shipments.csv represents all or part of a shipment and is comprised of a unique integral shipment ID, an item's integral ID, the item's quantity, and the item's outer dimensions sorted in nonincreasing order. All the items in a shipment are assigned the same unique integral shipment ID and therefore can be grouped together based on it. For additional details about the contents of these data files and how they were used, refer to the arXiv preprint: https://arxiv.org/pdf/2004.11533.pdf本数据集用于为一家假想的电商零售商遴选装箱套件，所用数据源包括：存储于boxes.csv的5284个候选包装箱、用于实际优化的15000份货运订单（存储于shipments.csv），以及用于模型验证的150000份货运订单（存储于large_shipments.csv）。 shipments.csv与large_shipments.csv中的每份货运订单，均由items.csv收录的2324个候选商品中的若干商品组合而成。所有候选商品均被假定为具有整数外部尺寸的三维矩形纸箱，因此排除可折叠商品；且任意两件商品的排序后外部尺寸均不相同，同时所有商品均无特殊包装约束，例如必须按高度定向摆放或底部承载。 每份货运订单包含1至8种不同商品，每种商品的装箱数量为1至8，且单份货运内的总纸箱数不超过8，即单份货运中所有商品的数量之和介于1至8之间。 boxes.csv的每一行对应一个候选包装箱，包含唯一整数包装箱ID，以及按非递增顺序排列的三个整数内部尺寸；items.csv的每一行对应一个候选商品，包含唯一整数商品ID，以及按非递增顺序排列的三个整数外部尺寸。 shipments.csv与large_shipments.csv的每一行代表一份货运的全部或部分内容，包含唯一整数货运ID、商品整数ID、商品数量，以及按非递增顺序排列的商品外部尺寸。同一份货运内的所有商品均被分配相同的唯一整数货运ID，因此可通过该ID将同批次货运的商品进行归组。 如需了解这些数据文件的详细内容及使用方式，请参阅arXiv预印本：https://arxiv.org/pdf/2004.11533.pdf