Authors:
Christiane Soika
;
Tobias Teich
;
Joerg Militzer
and
Daniel Kretz
Affiliation:
University of Applied Sciences Zwickau, Germany
Keyword(s):
CAD, CAM, STEP, Ant colony optimization.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Computational Intelligence
;
Evolutionary Computing
;
Formal Methods
;
Genetic Algorithms
;
Informatics in Control, Automation and Robotics
;
Intelligent Control Systems and Optimization
;
Optimization Algorithms
;
Planning and Scheduling
;
Simulation and Modeling
;
Soft Computing
;
Symbolic Systems
Abstract:
Small and medium sized enterprises (SME’s) are commonly dependent on large-scale enterprises in their role as a supplier. In fact, growing international competition increases the pressure on SME’s. Hence, it is enormously important, to react as fast and exact as possible on customer demands, while keeping high quality standards at the same time. In order to achieve these objectives, CAPP (Computer Aided Production Planning)-systems were introduced. This paper provides an integrated solution for automated process and production planning and we present our approach for generating process variants by using Ant Colony Optimization (ACO).