Abstract
In recent years, the importance of flexible solutions and new challenging requirements in the field of intralogistics has increased because of changeability in dynamic and uncertain environment. The Cellular Transport System that aims to cope with these new requirements provides an efficient way to increase the flexibility and changeability of intralogistics. In this paper, we propose a multi-agent simulation framework for Cellular Transport Systems that is an application of Swarm Intelligence to control the autonomous vehicles’ behavior. The paper discusses how we apply situated agent-based simulation as a tool for modeling and implementing a decentralized control of vehicle swarm. Furthermore, we aim to optimize the suitable number of vehicles used within a warehouse system. The simulated model provides an environment in order to study problems and performance issues of the vehicle operations.
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Güller, M., Uygun, Y., Karakaya, E. (2013). Multi-Agent Simulation for Concept of Cellular Transport System in Intralogistics. In: Azevedo, A. (eds) Advances in Sustainable and Competitive Manufacturing Systems. Lecture Notes in Mechanical Engineering. Springer, Heidelberg. https://doi.org/10.1007/978-3-319-00557-7_19
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DOI: https://doi.org/10.1007/978-3-319-00557-7_19
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