Aisyah, Ibrahim and Hamdan, Daniyal and Tuty Asmawaty, Abdul Kadir and Adzhar, Kamaludin (2021) Potential Data Collections Methods for System Dynamics Modelling: A Brief Overview. International Journal of Advanced Computer Science and Applications (IJACSA), 12 (3). pp. 259-268. ISSN 2156-5570(Online). (Published)
|
Pdf
Potential Data Collections Methods for System.pdf Available under License Creative Commons Attribution. Download (597kB) | Preview |
Abstract
System Dynamics (SD) modelling is a highly complex process. Although the SD methodology has been discussed extensively in most breakthroughs and present literature, discussions on data collection methods for SD modelling are not explained in details in most studies. To date, comprehensive descriptions of knowledge extraction for SD modelling is still scarce in the literature either. In an attempt to fill in the gap, three primary groups of data sources proposed by Forrester: (1) mental database, (2) written database and (3) numerical database, were reviewed, including the potential data collections methods for each database by taking into account the advancement of current computer and information technology. The contributions of this paper come in three folds. First, this paper highlights the potential data sources that deserved to be acknowledged and reflected in the SD domain. Second, this paper provides insights into the appropriate mix and match of data collection methods for SD development. Third, this paper provides a practical synthesis of potential data sources and their suitability according to the SD modelling stage, which can serve as modelling practice guidelines.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | System dynamics modelling; data collection methods; data source; system dynamics methodology |
| Subjects: | Q Science > QA Mathematics |
| Faculty/Division: | Institute of Postgraduate Studies Faculty of Computing Faculty of Electrical and Electronic Engineering Technology |
| Depositing User: | Noorul Farina Arifin |
| Date Deposited: | 14 Sep 2021 04:01 |
| Last Modified: | 14 Sep 2021 04:01 |
| URI: | http://umpir.ump.edu.my/id/eprint/32021 |
| Download Statistic: | View Download Statistics |
Actions (login required)
 |
View Item |