Heuristic Optimization in Production and Logistics (HOPL)

Project Duration: 
Thursday, May 1, 2014 to Monday, April 30, 2018

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


Rosenbauer International AG


voestalpine Stahl GmbH

Gebrüder Weiss

Gebrüder Weiss Gesellschaft m.b.H.


Logistikum – die Logistik-Kompetenz der FH OÖ


RISC Software GmbH


Fuzzy Logic Laboratorium Linz-Hagenberg, Department of Knowledge-Based Mathematical Systems, JKU Linz, Austria


Miba Frictec GmbH