Data models in Manufacturing data solutions (preview)
Manufacturing data solutions help you manage and analyze data from multiple domains within manufacturing. These domains span the value stream, including design and engineering, supply chain planning, operations management, energy and sustainability management, product costing, and distribution management. Manufacturing data solutions use open, industry-standard ontologies and models to realize this vision in a phased manner.
The first target domain for Manufacturing data solutions is Manufacturing Operations Management (MOM). This domain supports production personnel in making data-driven decisions and improving efficiency within their operations.
The purpose of Manufacturing data solutions is to harmonize the customer's data from different systems across operational technology (OT), information technology (IT), and engineering technology (ET). This enables interoperability and a unified consumption experience. Manufacturing data solutions strive to achieve this objective by:
- Defining a consistent data model based on open industry standards that best represent each domain. This way, you can uniformly represent data from different systems. The industry data model also solves interoperability issues because it uses an open-standards-based model with proven adoption. This model ensures that you and your partners already know the underlying semantics. It also democratizes data access for citizen and domain expert personas since the semantic model enables low-code consumption approaches.
The manufacturing data model is based on the ISA95 (IEC 62264) standard, which is the leading industry standard for MOM. This model forms the basis for the Manufacturing Execution System (MES) and many of the shop-floor systems for production, quality, maintenance, and inventory management.
For more information on Manufacturing data solutions data models, see the following documents:
For more information and to purchase the ISA95 standards, visit the ISA95 website and ISA95 store.