Federative Factory Data Management (FFDM) based on Service Oriented Architecture (SOA) and Semantic Model Description on XML and RDF for Manufacturing Products

更短的上市时间和更复杂的产品向巴西和德国等国提出了挑战，要求它们开发灵活和适应性强的生产工厂，并同时改进产品设计和生产计划流程。这些要求是必不可少的，因为开发变得更加分散，供应商集成并不是一项容易的任务。由于在产品开发和生产计划中越来越多地使用多种IT工具，分布式、异构性的IT环境正在增长，这影响到所有流程，并导致财务风险。对此，要实现这些改进，不仅要改进现有的生产技术，特别是要提高整个产品生命周期中不同工艺步骤的数据集成。因此，本项目的重点是基于面向服务的体系结构(Service Oriented Architecture，SOA)和语义模型描述的联合工厂数据管理。将语义信息模型定义为公共的通信和集成基础，可以实现所有涉及领域特定应用和多源系统的语法和语义异构性。基于该语义信息模型的联合工厂数据管理为信息和知识的全过程获取和传播奠定了基础。这种综合的方法应该协调产品开发和生产计划的跨学科模型，并使团队及其应用程序之间的协调和沟通标准化。

Reduced time to market and more complex products challenge countries such as Brazil and Germany to develop flexible and adaptable production plants, and to improve the product design and production planning processes simultaneously. These requirements are essential, as the development gets more distributed and the supplier integration is not an easy task. Due an increasing use of multiple IT tools within product development and production planning, a distributed heterogeneous IT-landscape is growing, which affects all processes and leads to financial risks. Regarding this and to achieve these improvements, not only the current production technology must be advanced, but also in particular the data integration through different process steps along the whole product life cycle must be improved. Thereby, the focus of this project is a federative factory data management based on the Service Oriented Architecture (SOA) and a semantic model description. Defining a semantic information model as a common communication and integration foundation, syntactic and semantic heterogeneities of all involved domain specific application and multiple source systems can be accomplished. A federative factory data management based on this semantic information model builds a foundation for acquisition and propagation of information and knowledge through the whole process. This integrative approach should harmonize interdisciplinary models from product development and production planning as well as to standardize coordination and communication between teams and their applications.