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
Partners: 

PLM

Institut für Produktions- und Logistikmanagement, JKU Linz, Austria

Rosenbauer

Rosenbauer International AG

voestalpine

voestalpine Stahl GmbH

carvatech

carvatech Karosserie & Kabinenbau GmbH

Gebrüder Weiss

Gebrüder Weiss Gesellschaft m.b.H.

Logistikum

Logistikum – die Logistik-Kompetenz der FH OÖ

RISC SW

RISC Software GmbH

FLLL

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