Die Optimierung der Auftragsterminierung und Einsteuerungsreihenfolge hat großen Einfluss auf die Produktivität von Fertigungssystemen. Genetische Algorithmen und Simulation sind verbreitete Werkzeuge zur Optimierung. Dieser Beitrag beschreibt einen neuen Ansatz zur Optimierung durch einen genetischen Algorithmus und der Simulation in dynamischen Modellen. Eine illustrative Fallstudie validiert den Ansatz und zeigt das Potenzial zur ganzheitlichen Verbesserung von Fertigungssystemen auf.The optimization of the order scheduling and sequencing have big influence on the productivity of manufacturing systems. Genetic algorithms and simulation are common tools for optimization. This article describes a new approach to optimization based on the s...
John Holland and his colleagues at the University of Michigan introduced genetic algorithms (GAs) in...
This paper exemplifies a framework for development of multi-objective genetic algorithm based job se...
Genetic algorithms have during the recent years gained popularity also in the domain of chemical eng...
Die Optimierung der Auftragsterminierung und Einsteuerungsreihenfolge hat großen Einfluss auf die Pr...
The article depicts an evolutionary approach to simulation based optimization of a typical manufactu...
The article depicts an evolutionary approach to simulation based optimization of a typical manufactu...
One of the main problems faced by manufacturing companies in the production sequencing, also called ...
In this work we present an optimization algorithm based on a discrete event simulation engine driven...
Production scheduling and job sequencing can be a complex problem especially with multiple machines ...
In this paper we present an optimization approach to a real-world production planning problem. Based...
Genetic Algorithms have demonstrated their good performance in combinational search processes. They ...
GKN Aerospace in Trollhättan manufactures different components for aircraft engines and aero derivat...
Production scheduling is a notoriously difficult problem. Manufacturing environments contain comple...
peer reviewedThis study concerns the simulation of a shipbuilding workshop, and its optimization to ...
Optimization methods combined with computer-based simulation have been utilized in a wide range of m...
John Holland and his colleagues at the University of Michigan introduced genetic algorithms (GAs) in...
This paper exemplifies a framework for development of multi-objective genetic algorithm based job se...
Genetic algorithms have during the recent years gained popularity also in the domain of chemical eng...
Die Optimierung der Auftragsterminierung und Einsteuerungsreihenfolge hat großen Einfluss auf die Pr...
The article depicts an evolutionary approach to simulation based optimization of a typical manufactu...
The article depicts an evolutionary approach to simulation based optimization of a typical manufactu...
One of the main problems faced by manufacturing companies in the production sequencing, also called ...
In this work we present an optimization algorithm based on a discrete event simulation engine driven...
Production scheduling and job sequencing can be a complex problem especially with multiple machines ...
In this paper we present an optimization approach to a real-world production planning problem. Based...
Genetic Algorithms have demonstrated their good performance in combinational search processes. They ...
GKN Aerospace in Trollhättan manufactures different components for aircraft engines and aero derivat...
Production scheduling is a notoriously difficult problem. Manufacturing environments contain comple...
peer reviewedThis study concerns the simulation of a shipbuilding workshop, and its optimization to ...
Optimization methods combined with computer-based simulation have been utilized in a wide range of m...
John Holland and his colleagues at the University of Michigan introduced genetic algorithms (GAs) in...
This paper exemplifies a framework for development of multi-objective genetic algorithm based job se...
Genetic algorithms have during the recent years gained popularity also in the domain of chemical eng...