Project Details | HEAL

Heuristic Optimization in Production and Logistics

Project duration from 2014-05-01 to 2018-04-30
Funded by: FFG
  • voestalpine Stahl GmbH
  • Rosenbauer International AG
  • University of Vienna
  • Miba Frictec GmbH
  • RISC Software GmbH
  • Institute of Mathematical Methods in Medicine and Databased Modelling
  • Gebrüder Weiss GmbH

This project aims to develop novel algorithms in order to gain additional optimization potential by modeling and optimizing interrelated logistics and production processes in an integrative way.

Efficient utilization of resources is essential for companies in order to offer products and services in a competitive and sustainable manner. Therefore, optimization is a key-technology in manifold domains to solve complex practical problems. A severe limitation of current optimization techniques is the difficulty of sufficiently formalizing the entire problem situation and complexity. Many existing problem models are abstracted and isolated formulations of real world situations in order to make existing optimization techniques applicable. Consequently, the optimized solutions are often hard to transfer into the real world as the inherent complexity and volatility of the problem situations have been lost.

The main goals for the application of optimization networks in this project are:

  • Integrated storage, transport, and schedule optimization
  • Strategic planning and design of production and logistics systems
  • Integration of data-based modeling in the optimization of production processes