Project Details
Description
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 here proposing research consortium combines expertise in heuristic and exact optimization methods, production, logistics, and mechatronic systems. Novel, holistic optimization approaches will be developed and transferred into practice for solving real-world optimization problems that are crucial for the industrial partners. This will lead to optimized production and logistics systems and higher efficiency in terms of time and resources, so that the international competitiveness of the involved high-wage production companies is significantly strengthened.
In the presented K-Project the consortium plans to extend and integrate isolated problem models, simulation, and mathematical models into a new flexible system for real-world problem modeling and optimization. By combining these individual elements, a novel holistic optimization methodology will be researched and developed to enable an integrated optimization of the overall system; novel algorithmic concepts need to be researched, developed and applied in order to integrate multiple sub-problems of complex real-world systems as an optimization network. Thereby, the main focus will be laid on the (automated) interplay of different modeling and optimization methods such as simulation models, exact methods and metaheuristics in order to reach system-wide optimization of an overall complex real-world system.
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
The consortium is led by the research group HEAL of FH OÖ and includes highly competent scientific partners as well as research oriented company partners that face complex interrelated challenges requiring new algorithmic innovations.
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 here proposing research consortium combines expertise in heuristic and exact optimization methods, production, logistics, and mechatronic systems. Novel, holistic optimization approaches will be developed and transferred into practice for solving real-world optimization problems that are crucial for the industrial partners. This will lead to optimized production and logistics systems and higher efficiency in terms of time and resources, so that the international competitiveness of the involved high-wage production companies is significantly strengthened.
In the presented K-Project the consortium plans to extend and integrate isolated problem models, simulation, and mathematical models into a new flexible system for real-world problem modeling and optimization. By combining these individual elements, a novel holistic optimization methodology will be researched and developed to enable an integrated optimization of the overall system; novel algorithmic concepts need to be researched, developed and applied in order to integrate multiple sub-problems of complex real-world systems as an optimization network. Thereby, the main focus will be laid on the (automated) interplay of different modeling and optimization methods such as simulation models, exact methods and metaheuristics in order to reach system-wide optimization of an overall complex real-world system.
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
The consortium is led by the research group HEAL of FH OÖ and includes highly competent scientific partners as well as research oriented company partners that face complex interrelated challenges requiring new algorithmic innovations.
| Short title | K-Projekt HOPL |
|---|---|
| Status | Finished |
| Effective start/end date | 01.05.2014 → 30.04.2018 |
Funding agency
- COMET Competence Centers for Excellent Technologies
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