Selection makers in huge scale interconnected community platforms require simulation versions for selection help. The behaviour of those platforms is dependent upon many actors, located in a dynamic, multi-actor, multi-objective and multi-level atmosphere. How can such platforms be modelled and the way can the socio-technical complexity be captured? Agent-based modelling is a confirmed method of deal with this problem. This booklet presents a realistic creation to agent-based modelling of socio-technical platforms, in keeping with a strategy that has been constructed at TU Delft and which has been deployed in quite a few case reports. The ebook contains components: the 1st provides the history, idea and method in addition to functional instructions and methods for construction versions. within the moment half this concept is utilized to a few case experiences, the place for every version the improvement steps are awarded largely, getting ready the reader for growing personal versions.
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Extra info for Agent-Based Modelling of Socio-Technical Systems (Agent-Based Social Systems, Volume 9)
28). Some reasons for the essential importance of the storage function are provided by Zijderveld (1995, pp. 2–3): • The terminal process would become too complicated in case of direct transshipment, since all individual XTs would have to be controlled in such a way that they arrive in the right sequence, at the right time and at the right place in order to process the relevant transshipment operation without any delays. • For terminals with more than two different modes of transportation, direct transshipment would require a sophisticated terminal design.
Secondly, the load-bearing capacity of a terminal area and along with it the stacking height and the applicable equipment types and dimensions are greatly affected by the soil conditions of the terminal. Thirdly, the used stacking and horizontal-transport equipment as well as the yard layout in terms of width, length and height are to a large extent defined by the given shape of the terminal area. Finally, several designinfluencing factors like the size of the calling vessels and the transshipment factor might be influenced by the user-type of the terminal (Saanen 2004, pp.
The efficiency of the stacking operations is determined by strategical decisions on the stacking equipment and the yard-block layout as well as by operational decisions about container stacking and about the scheduling and routing of the stacking equipment (Meersmans and Dekker 2001; Vis and de Koster 2003). These decisions usually have to be made with respect to the available space, the planned container throughput, the expected container-dwell time, the planned yard utilisation as well as external regulations concerning customs control, environmental protection and occupational safety (Nazari 2005, p.
Agent-Based Modelling of Socio-Technical Systems (Agent-Based Social Systems, Volume 9)