ZF Friedrichshafen AG is joining the Open Manufacturing Platform (OMP), which was announced in 2019 by the BMW Group and Microsoft. The OMP is an open industrial IoT platform to accelerate production and logistics optimization efforts. (Earlier post.)
The aim of this initiative is to enable faster and more cost-effective innovations in the manufacturing industry.
The OMP technology framework and community are designed to nurture the development of smart-factory solutions across the sector. Sharing knowledge and utilizing industrial use cases and sample code, OMP members will be empowered to simplify and accelerate the development of their own services and solutions.
Seamless data sharing is still a vision, since many data sources first need to be connected and interlinked within a company, and then extended to partners and external entities. ZF is working actively in improving Industry 4.0 maturity towards smart factories, one major aspect is the seamless data integration via open and interoperable platforms and processes.
The OMP aims to provide community members with a reference architecture with open-source components based on open industrial standards. The approach is designed to standardize industrial data models to accelerate analytics and machine learning scenarios by unlocking the access to data that used to be stored in proprietary systems. Features of OMP include:
Data standardization across data producers for faster insights correlation
Central auditability and dashboards
Data monetization opportunities through controlled sharing and ownership
Open source for OMP components
The OMP will be compatible with existing Industry 4.0 reference architecture, leveraging the industrial interoperability standard OPC UA. The community members retain full control over their data.
The OMP addresses the needs of the entire industry—for example with regard to data connection of machines and systems or system integration. This means that manufacturers, suppliers, and their partner companies do not need to build new software from scratch but can build on existing components. One example is the integration of functions with which autonomous transport systems can be coordinated regardless of the manufacturer.