Process Mining Techniques in Simulation Model Adequacy Assessment

被引:1
|
作者
Sitova, Irina [1 ]
Pecerska, Jelena [1 ]
机构
[1] Riga Tech Univ, Dept Modelling & Simulat, Riga, Latvia
关键词
process mining; simulation model adequacy; simulation results analysis;
D O I
10.1109/itms47855.2019.8940672
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The research is carried out in the area of model adequacy assessment and analysis of simulation results. The aim of this research is to explore the applicability of process mining techniques for model verification and validation, and results analysis of discrete-event system simulation models. The adequacy assessment of the simulation model is the final stage of its development and has the objective to check the compliance of the model with its research objectives and to assess the reliability and statistical characteristics of the results obtained during the model experiments. In this paper the adequacy of the particular simulation model is checked for compliance with the real system from the point of view of the behaviour. The process mining is considered as a technique for simulated behaviour analysis. The simulation runs provided events lists for event log extraction. Further processing of event log resulted in positive objective conclusion on the investigated model behaviour adequacy, as well as outlined the potential direction to develop the objective adequacy assessment scheme for simulation models.
引用
收藏
页数:4
相关论文
共 50 条
  • [1] A wind vector simulation model and its application to adequacy assessment
    Miao, Shuwei
    Yang, Hejun
    Gu, Yingzhong
    ENERGY, 2018, 148 : 324 - 340
  • [2] Combination of Process Mining and Simulation Techniques for Business Process Redesign: A Methodological Approach
    Aguirre, Santiago
    Parra, Carlos
    Alvarado, Jorge
    DATA-DRIVEN PROCESS DISCOVERY AND ANALYSIS, 2013, 162 : 24 - 43
  • [3] Teamwork assessment in collaborative projects through process mining techniques
    Caballero-Hernández, Juan Antonio
    Balderas, Antonio
    Palomo-Duarte, Manuel
    Delatorre, Pablo
    Reinoso, Antonio J.
    Dodero, Juan Manuel
    International Journal of Engineering Education, 2020, 36 (1B) : 470 - 482
  • [4] Teamwork Assessment in Collaborative Projects Through Process Mining Techniques
    Antonio Caballero-Hernandez, Juan
    Balderas, Antonio
    Palomo-Duarte, Manuel
    Delatorre, Pablo
    Reinoso, Antonio J.
    Manuel Dodero, Juan
    INTERNATIONAL JOURNAL OF ENGINEERING EDUCATION, 2020, 36 (01) : 470 - 482
  • [5] Simulation of patient flow in multiple healthcare units using process and data mining techniques for model identification
    Kovalchuk, Sergey, V
    Funkner, Anastasia A.
    Metsker, Oleg G.
    Yakovlev, Aleksey N.
    JOURNAL OF BIOMEDICAL INFORMATICS, 2018, 82 : 128 - 142
  • [6] Redesigning business processes: a methodology based on simulation and process mining techniques
    Maruster, Laura
    van Beest, Nick R. T. P.
    KNOWLEDGE AND INFORMATION SYSTEMS, 2009, 21 (03) : 267 - 297
  • [7] Redesigning business processes: a methodology based on simulation and process mining techniques
    Laura Măruşter
    Nick R. T. P. van Beest
    Knowledge and Information Systems, 2009, 21 : 267 - 297
  • [8] The Use of Process Mining in Business Process Simulation Model ConstructionStructuring the Field
    Niels Martin
    Benoît Depaire
    An Caris
    Business & Information Systems Engineering, 2016, 58 : 73 - 87
  • [9] Process Development Based on Model Mining and Experiment Design Techniques
    Abonyi, J.
    2010 IEEE 8TH INTERNATIONAL SYMPOSIUM ON APPLIED MACHINE INTELLIGENCE AND INFORMATICS, 2010, : 171 - 176
  • [10] Composite system adequacy assessment using sequential Monte Carlo simulation with variance reduction techniques
    Billinton, R
    Jonnavithula, A
    IEE PROCEEDINGS-GENERATION TRANSMISSION AND DISTRIBUTION, 1997, 144 (01) : 1 - 6