An important prerequisite for determining whether a certain product is producible in any given production facility is an accurate assessment of which production lines and/or the machines are able to execute the necessary production steps. Not only the static information about the capabilities of the machines, but also the conditions of machines and tools are significant for this analysis. Because of the deviation of machine capabilities with increasing deterioration and weary of the equipment, it is also necessary to continuously monitor the status of the machine and analyze the machine conditions. In this paper, we present an approach for generating production plans across multiple factories, considering both static information and dynamic data analysis. Edge devices constantly monitor high frequency machine data and report condensed machine states to an Industrial IoT platform (IIoT). A marketplace within the cloud-application MindSphere enables us to integrate the requirements of the products and the capabilities of the production sites. Customers are be able to evaluate these production plans based on duration, energy consumption, CO₂ footprint etc.

确定某种产品是否可以在任何给定生产设施中生产的一个重要先决条件是准确评估哪些生产线和/或机器能够执行必要的生产步骤。不仅关于机器能力的静态信息，而且机器和工具的条件对于这种分析都很重要。由于机器能力随着设备老化和磨损的增加而出现偏差，因此还需要持续监控机器状态并分析机器状况。在本文中，我们提出了一种跨多个工厂生成生产计划的方法，同时考虑了静态信息和动态数据分析。边缘设备不断监控高频机器数据并将浓缩的机器状态报告给工业物联网平台 (IIoT)。云应用 MindSphere 中的市场使我们能够集成产品的需求和生产站点的功能。客户能够根据持续时间、能耗、CO 评估这些生产计划₂足迹等