Hybrid Simulation for Sustainability of Decision Making
Jafri Zulkepli1, Tillal Eldabi2

1Jafri Zulkepli, School of Quantitative Sciences, University Utara Malaysia, Sintok, Kedah, Malaysia.

2Tillal Eldabi, Brunel Business School, Brunel University London.

Manuscript received on 03 February 2019 | Revised Manuscript received on 10 February 2019 | Manuscript Published on 22 March 2019 | PP: 38-42 | Volume-8 Issue-5S April 2019 | Retrieval Number: ES3390018319/19©BEIESP

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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Using a single simulation technique is not always viable enough to cope with complex system needs. Discrete Event Simulation is normally applied for queuing system processes and for analysing individual criteria. On other hand, system dynamics is utilised to assess continuous and qualitative variables such as levels of stress. When combined in a hybrid model, these two techniques are capable to produce reliable outputs that will enhance the knowledge of the decision makers. There are two types of hybrid interaction, cyclic and parallel. Currently, simulation software does not support automated interaction, therefore, hybridisation is usually developed through manual linking of models. This paper is an extension paper from two previous papers that developed healthcare processes using hybrid simulation techniques to assess its viability over single technique usage. Based on the results from hybrid, it shows a marked difference compared with results from single techniques. Therefore, we conclude that hybrid simulation will gave better outputs for decision makers to consider.

Keywords: Decision Making; Discrete Even Simulation; Healthcare; Hybrid Simulation; System Dynamics.
Scope of the Article: Computer Graphics, Simulation, and Modelling