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We support interoperability

Engisis helps your organization:

to adopt a model-based approach to organize your product data;
to assure interoperability between systems managing product data at different lifecycle stages;
to support collaborative processes in the product life cycle, like Systems Engineering, Integrated Logistics Support, Product data Archiving and Life Cycle Assessment.
Assess models against processes
Investigate existing product data models and their relationship with the processes. Apply data models to the business context.
Deploy common models
Apply standard data models for business cases and deploy the product data models to solve your interoperability issues.
Use standards and specifications
  • PLCS (ISO 10303 AP 239) and DEX
  • PDM Schema and ISO 10303 AP 233, AP 242, AP 235
  • ISO 15926
  • S3000L
  • NIILS (Italian inter-forces specification for ILS)
Use skills and technology
  • Model-based engineering
  • Model and ontology for product data
  • Model transformation
  • Languages for data and process modeling
  • Software architecture and programming
Train
Provide educational services and trainings adapted to each organizational level, from business managers to software implementers.
Implement interoperability

Assure interoperability between the software applications that manage product data during the whole product lifecycle.

  • Test cases and data sets
  • Products
What is interoperability?
Interoperability is defined as the ability to manage and communicate electronic product and project data between collaborating firms’ and within individual companies’ design, construction, maintenance, and business process systems.
NIST | Cost Analysis of Inadequate Interoperability in the U.S. Capital Facilities Industry
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Why is it important?

Interoperability allows your company to:

  • collaborate better,
  • optimize its internal processes,
  • guarantee data quality,
  • communicate more efficiently with its customers, suppliers and partners,
  • adopt a long-term archiving approach for data reuse and certification.
Why do we use standard data models?

During the product lifecycle, different software applications are used to manage product data. To communicate properly, these software applications must share the same definitions of the concepts they represent. A unique definition of the business concepts of the company and the relations between them shall exist independently of the application domain (engineering, manufacturing, maintenance, etc.).

We use standards built by leading industry experts as stable foundations for the representation of the business concepts of the company to reach interoperability and high data quality. Adopting a standard data model permits to reduce the number of current and future integrations. It facilitates the exchange of data between suppliers, customers, and partners. It also enables long term archiving of product data.