Fayoumi, A. and Loucopoulos, P. (2014) Business Rules, Constraints and simuLation for Enterprise Governance. In: Barjis, J. and Pergl, R., Eds., EOMAS 2014: Enterprise and Organizational Modeling and Simulation, Springer, Berlin, 96-112.
https://doi.org/10.1007/978-3-662-44860-1_6

has been cited by the following article:

• TITLE: Understanding the Dynamics Location of Very Large Populations Interacted with Service Points

  AUTHORS: Rola Younis Masoud Mohammed, Mohammad Asif Salam

  KEYWORDS: Information on Geographic Systems (GIS), Large-Scale Events, Hajj Pilgrimage, Data Mining Tools, System Dynamics, Agent-Based Modeling, Discrete-Time Event

  JOURNAL NAME: Open Journal of Modelling and Simulation, Vol.11 No.3, July 28, 2023

  ABSTRACT: This paper offers preliminary work on system dynamics and Data mining tools. It tries to understand the dynamics of carrying out large-scale events, such as Hajj. The study looks at a large, recurring problem as a variable to consider, such as how the flow of people changes over time as well as how location interacts with placement. The predicted data is analyzed using Vensim PLE 32 modeling software, GIS Arc Map 10.2.1, and AnyLogic 7.3.1 software regarding the potential placement of temporal service points, taking into consideration the three dynamic constraints and behavioral aspects: a large population, limitation in time, and space. This research proposes appropriate data analyses to ensure the optimal positioning of the service points with limited time and space for large-scale events. The conceptual framework would be the output of this study. Knowledge may be added to the insights based on the technique.