Objectives and ARUM Approach

The industries' objective through the ARUM project is to develop strategies and novel ICT solutions for handling, managing and overcoming the following challenges:

  • Increasing risks from product immaturity and production disruptions due to market pressure
  • Complex and highly customized products for small production series
  • Planning and control of automation and ICT controlled manufacturing systems
  • Weak integration of engineering to production (horizontal) and enterprise ICT to shop floor automation (vertical)

Therefore, the main objective of the ARUM solution is to significantly improve the operational and economic performance of production ramp-ups and small lot productions by delivering novel strategies, ICT systems and tools for automation control and optimization to the industrial end-users.

To accomplish these major objectives, the ARUM approach includes the following four pillars which are essential for novel ICT-driven process automation and control solutions supporting the flexibility, autonomy and robust production ramp-up and small lot production:

1. Development of risk mitigation and management strategies for integrated control and dynamic optimization:

  • Risk reduction and mitigation strategies for the planning phase of production ramp-up and small lot production (flexible versus robust production strategy and associated resource planning, shop floor layout, etc.)
  • Risk management strategies in real-time management of production ramp-up and small lot production (decision making logics)
  • Formal representation of risk mitigation and management strategies (ontologies for knowledge representation, decision rules) for usage in knowledge-processing tools, supporting automated control and optimization

2. Development of ICT systems for integrated control and dynamic optimization:

  • A scalable architecture based on open standards and able to integrate all levels of information systems from sensor peripheries to legacy systems and selected tools for added value services
  • The basic platform for predictive and real-time automation control and optimization based on knowledge processing Multi Agent System (MAS), supporting the pre-planning and in-production control and optimization

3. Development tools, supporting integrated control and dynamic optimization of factory assets for production ramp-up and small lot production series of complex and highly customized products:

  • Tools for added-value services, like learning, quality control, risk- and cost-management and control of environmental footprints
  • In predictive mode, the tools will support the planning phase of a production system in accordance to most beneficial risk reduction and mitigation strategies
  • In real-time operations mode, the tools will support dynamic, time-, cost- and risk-oriented re-planning of operations, evaluation and mitigation / management of risks and the ability to alter engineering information provided, in case of immaturity or late requests for changes

4. End-to-end integration of the ARUM solution into legacy systems and information aggregation across existing legacy systems and production levels

The top level requirement within FoF ICT call, that is to demonstrate the operational and economic benefits and applicability of ICT solutions (lean and simpler ICT) in industrial environment, will be proven by multiple use cases (aircraft production ramp-up, small lot production of Aircraft Interior Equipment, small lot production of RoRo vessels). The ARUM solution will be benchmarked in real production environments for the following use cases: Airbus aircraft production, MGS interior manufacturing and FGS shipyard manufacturing. The validation includes economic, operational and ecological assessment and an explicit end-user validation.

The further dissemination and exploitation of ARUM results is planned by means of a Living Lab approach. At the end of the project, an ARUM lab test bed will be transferred to academic partners, for further use of the ARUM infrastructure and results in other use cases by European researchers or industrial end-users.