Research

AAU Smart Production Research

The Fourth Industrial Revolution

 

AAU Smart Production adresses three research and development themes:

  • Automation
  • Digitalization
  • Organization

Six Ph.D. projects are initiated.

WP1 Designing Production Systems

COMPLIANT ROBOTIC MOTION

Modern robotic manipulators not only move according to prescribed kinematic references, but also in accordance with force and torque requirements when in contact with materials and other robots (compliance).

INTEGRATED VIRTUAL FACTORY MODELS FOR SMART PRODUCTION

In smart production, assets and inventories together with production and assembly lines will be dynamically designed, configured, monitored and maintained. This will require the availability of integrated and scalable factory models, which can be updated based on real-time data acquisition from physical factory resources.

WP2 Proactive Supply Chains

PRESCRIPTIVE BIG DATA ANALYTICS

Modern enterprises already apply a range of analytics technologies to find insights into what has happened in the past or what is happening now (descriptive analytics) as well as what will most likely happen in the future (predictive analytics).

The next step is to suggest (prescribe) the best course of action among various choices to achieve a desired future goal, given a set of known parameters, objectives, requirements, and constraints (prescriptive analytics).

esource Optimization of Cyber Physical Systems

In future smart production systems, there is a big potential for cost savings by efficiently integrating the energy-intensive industry with urban energy systems such as district energy systems and electrical grids. In order to cope with this, overall computerized, hybrid models need to be developed and analyzed.

WP3 Sustainable Value Chains

Operations Development

The Smart factory challenges the traditional reactive mandate of the factory and focuses its competitive position towards its ability to engage proactively with the environment on the basis of its acquired operations capabilities and process technologies. Most importantly it competes by cultivating its innovation potential in a collaborative space as it engages with suppliers, technology partners, and customer etc.

Smart system integration

The overall objective of the PhD study is to investigate the economic and environmental effects of stringent environmental regulations and taxation for energy-intensive enterprises in Denmark and Europe, such as Aalborg Portland, ROCKWOOL gruppen, etc., as well as the associated opportunities and risks with the increased focus on circular economy and industrial symbiosis at both local, national and international level.

The PhD study aims at assessing the conditions and efforts in producing more energy- and material-efficient products based on life cycle thinking. In parallel, the focus is on the improvement potentials in a further smart system integration as well as current and potential synergies between industrial enterprises and with the local municipalities, and how environmental regulation can support this.