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SmartFactoryKL controls intelligent Industry 4.0 plant with MES from iTAC

Manufacturing Execution System enables traceability and analysis of processes in research and demonstration plants

Montabaur, 19 April 2016 – The SmartFactoryKL uses the Manufacturing Execution System (MES) from iTAC Software AG as a core technology of its plant. As a manufacturer-independent demonstration and research platform, the SmartFactoryKL develops Industry 4.0-enabled factory systems. iTAC’s MES contributes to the transparency and efficiency within the intelligent processes. The solution ensures traceability and bridges the gap between the production and planning level.

The technology initiative SmartFactoryKL e.V. is a non-profit association that was founded in 2005 in order to realize Industry 4.0 research and development projects. The network consists of well-known actors from industry and research, who work together on new concepts, standards and solutions that form the basis for a highly-flexible automation technology. 

Together with 18 renowned industry partners, the SmartFactoryKL has realized a manufacturer-independent, realistic research and demonstration plant. This platform serves as a test environment for new technologies, control architectures and components: hereby, system components and control system elements from a wide range of manufacturers can be integrated, tested and further developed in the context of prototype testing and pilot projects.

A key technology of this intelligent Industry 4.0 system is the iTAC.MES.Suite. The Manufacturing Execution System from iTAC has a high level of standardization and consolidates heterogeneous production-related software solutions into one single package. In this way, it links the ERP/PLM and the machines or plants. With functionalities such as active traceability (traceability including process interlocking) the MES allows high transparency and increases the quality of products with the objective of zero ppm. In addition, the system provides important key figures, enabling optimization and planning processes in the intelligent factory.