The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/14743263

Bemthuis, Rob; Mes, M.R.K. (Martijn); Iacob, M.E. (Maria-Eugenia); Havinga, P.J.M. (Paul) (2021): Data underlying the paper: Using agent-based simulation for emergent behavior detection in cyber-physical systems. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/14743263.v1

Dataset

• Business and Management
• Information Systems

Discrete event simulation, Dynamic pickup and delivery problem, Emergent behavior, Event logs, Pickup and delivery problem, Process mining

CC BY 4.0

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by Rob Bemthuis , M.R.K. (Martijn) Mes , M.E. (Maria-Eugenia) Iacob , P.J.M. (Paul) Havinga

The dataset contains a collection of experiment results and event logs generated. The experiments comprise a logistics case study involving the transport of products that are subject to quality depreciation. The products are transported on smart pallets, which enables us to keep track of various measures (e.g., location, quality depreciation level, etc.). We considered the problem as a special case of the dynamic pickup and delivery problem in which objects need to be transported between an origin and a destination. The case study is implemented in a discrete-event simulation model. This dataset contains the experiment input (i.e., input parameters) and results (i.e., simulation output files and filtered output files considering the removal of a warm-up period). As output, we also provide event logs, which could, for example, be used for model verification or process mining purposes.

• 2021-06-10 first online, published, posted

4TU.ResearchData

Using agent-based simulation for emergent behavior detection in cyber-physical systems

• https://research.utwente.nl/en/publications/using-agent-based-simulation-for-emergent-behavior-detection-in-c
• https://doi.org/10.1109/WSC48552.2020.9383956

• NWO, 628.009.015

University of Twente, Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), Pervasive Systems (PS);
University of Twente, Faculty of Behavioural Management and Social Sciences (BMS), Industrial Engineering & Business Information Systems (IEBIS)