Data for: Optimisation model for multi-item multi-echelon supply chains with nested multi-level products

The dataset contains the data used in our study "Optimisation model for multi-item multi-echelon supply chains with nested multi-level products". We provide one dataset that describes an automotive production network that comprises of one OEM, four first-tier suppliers and two second-tier suppliers (nodes), their relations (arcs) and their production and logistics processes to fulfil customers demand. The dataset includes information about: - product structure of 28.049 products (e.g. cars, engines, gears ..) - 12 nodes (e.g. car plant, engine supplier, ..), their assigned products and initial inventory as well as maximum inventory - 11 arcs (e.g. lead-time from engine supplier to car plant), their available transport or production capacity for each period and the initial flows - bill of materials - customers demand for each car over a horizon of 14 days本数据集包含我们在研究《嵌套多级产品多品类多级供应链优化模型》（Optimisation model for multi-item multi-echelon supply chains with nested multi-level products）中使用的数据。 本次提供的数据集描述了一个汽车生产网络，该网络包含1家原始设备制造商（OEM）、4家一级供应商与2家二级供应商（节点）、它们之间的关联关系（弧），以及用于满足客户需求的生产与物流流程。 数据集涵盖以下信息： - 28049种产品的产品结构（例如汽车、发动机、齿轮等） - 12个节点（例如整车工厂、发动机供应商等）、其对应的生产产品、初始库存与最大库存 - 11条弧（例如发动机供应商至整车工厂的运输提前期）、各周期内可用的运输或生产产能，以及初始流量 - 物料清单（Bill of Materials） - 14天规划周期内各车型的客户需求