Sense & React

The context-aware and user-centric information distribution system for manufacturing

Sense&React aims at developing methods and reference architecture for enabling intelligent management of manufacturing information in real-time by implementing and utilizing a factory wide sensing and ICT end-to-end infrastructure.

Nowadays manufacturing ICT platforms provide a number of useful tools, including sensors’, wireless networks, mobile devices, MES, ERP and information management systems, support shop-floor and back-office personnel in a series of activities. However, there is a long way to go before the huge amount of information gathered and generated by such ICT systems is presented in a manner that can truly speed up production processes, enable immediate reaction to issues and shortcomings.

  • Information distribution usually neglects different user roles in a typical production facility.The information source is not aware of the role of the information receiver and thus fails at delivering the required subset.
  • In many cases information infrastructure fails to successfully aggregate and manage data from factory-wide sensor networks as well as from various data sources such as MES or ERP, analyse such data and deliver it in a context-based manner to different users.
  • Cognitive load, especially of shop-floor operators working under harsh conditions, is not properly addressed during information distributing.
  • User Interfaces are often too complex and require much too effort to follow and use effectively either in harsh shop-floor environment or in back-office.

Sense&React project envisages overcoming the above mentioned issues via:

  • The use of customised, role-specific user interfaces provided through mobile devices in order to support the shop-floor personnel with the adequate amount of information also considering the cognitive load when performing certain operations.
  • The development of new information structures and information flow approaches so as to optimise the load of information presented to the different users at the shop-floor.
  • Development and application of factory-wide optimization methods that utilize real-time data, such as personnel, asset or part location data in order to optimize production performance, energy efficiency and safety.

Topic Area

  • Information Management

Research Focus

  • Informationslogistik


Funding no.