Development of an Agent Based Modelling and Simulation Tool for Anticipatory Change Planning for Cellular Transport Systems

The dissertation focuses on the specific intralogistics system called Cellular Transport System (CTS) to develop an integrated simulation tool in order to systematically anticipate change drivers and select optimization measures for CTS.
To achieve this, firstly, CTS and it constituents are defined and introduced.
Secondly, the Anticipatory Change Planning (ACP) as an applicable systematic experimentation approach is developed. That is especially required for CTS because of its flexibility and adaptability. Thus, each significant change driver which has influence on the CTS can be tested, and the conditions of the warehouse, with or without measured effects can be assessed under favour of the holistic ACP framework.
Lastly, the CTS is simulated based on the Agent-based simulation methodology within the scope of this research. Based on several usual and extreme case studies the behaviour of CTS is analyzed and effective adaptation measures are tested and evaluated.
The dissertation proves the applicability and usefulness of Agent-based simulation for the Anticipatory Change Planning of Cellular Transport Systems.