Reference

Smart Factory for ROIM® - Risk-orientated maintenance management

Project description:

On behalf of TÜV Industrie Service GmbH, Software Factory GmbH has developed a software solution that supports companies in the creation of risk analyses and serves as an evaluation basis for „risk-oriented maintenance“. The technical system data is used to analyse the probability of failure and consequence of failure parameters. This is used to automatically calculate the risk associated with the respective component. This is followed by an assessment of the costs, taking into account the impact on health, safety and the environment (HSE).

As a result, a risk matrix is created that shows the critical components. These are the fields of action for optimising inspection and maintenance.

The software solution is realised as a pure JAVA application and uses a MySQL database for persistent data storage.

Features included in the scope of functions:

  • Mapping of entire systems (system, components, subcomponents)
  • Event definition (functional failure, damage and ageing mechanisms)
  • Definition of risk classes
  • Management of inspections
  • Master data maintenance at client, asset and asset area level
  • Representation of the component life cycle
  • Calculation of the probability of default
  • Graphical representation of risk ranking and optimised risk ranking
  • Management of documents and regulations
  • Internationalisation (incl. currency, SI units)
  • Export/import to XML, CSV, Excel
  • Report functions
  • Multi-client capability
  • User administration, role concept

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TÜV Industrie Service GmbH

Optimisation of repair and maintenance intervals Globalised and deregulated markets mean increased competition and cost pressure for companies, forcing them to look for new ways to reduce the operating and maintenance costs of technical systems. At the same time, the focus is on maintaining the safety and reliability of the systems. Reliability and risk assessments in conjunction with information from manufacturers, expert recommendations and physical model calculations provide a solid basis for decision-making in the field of maintenance and servicing optimisation. Taking into account safety, HSE and regulatory aspects, traditionally fixed intervals can be optimised in order to minimise both costs and downtimes of machines and systems.