TY - DATA
T1 - Data underlying the paper: An agent-based process mining architecture for emergent behavior analysis
PY - 2021/06/07
AU - Rob Bemthuis
AU - M. (Martijn) Koot
AU - M.R.K. (Martijn) Mes
AU - F.A. (Faiza) Bukhsh
AU - M.E. (Maria-Eugenia) Iacob
AU - N. (Nirvana) Meratnia
UR - https://data.4tu.nl/articles/dataset/Data_underlying_the_paper_An_agent-based_process_mining_architecture_for_emergent_behavior_analysis/12708839/2
DO - 10.4121/12708839.v2
KW - Discrete event simulation
KW - Emergent behavior
KW - Event logs
KW - Job-shop
KW - Multi-agent system
KW - Process mining
KW - Supply chain logistics
N2 - The dataset contains a collection of experiment results and event logs generated. The experiment comprises a job-shop scheduling problem, implemented in a discrete-event simulation model. The raw experiment results are given from which event log files can be generated by following the steps as described in this data paper or the referred academic paper. A collection of event log files is given, as well as the raw files. The logs include the filtered part of the case study as presented in the paper "An agent-based process mining architecture for emergent behavior analysis" by Rob Bemthuis, Martijn Koot, Martijn Mes, Faiza Bukhsh, Maria-Eugenia Iacob, and Nirvana Meratnia.
ER -