scholarly journals Comparing Three Simulation Model Using Taxonomy: System Dynamic Simulation, Discrete Event Simulation and Agent Based Simulation

2013 ◽  
Vol 1 (3) ◽  
pp. 54-59
Author(s):  
Suliza Sumari ◽  
Roliana Ibrahim ◽  
Nor Hawaniah Zakaria ◽  
Amy Hamijah Ab Hamid
Keyword(s):  
Simulation Model ◽  
Discrete Event Simulation ◽  
Discrete Event ◽  
Simulation Method ◽  
System Dynamic ◽  
Agent Based Simulation ◽  
Agent Based ◽  
Event Simulation ◽  
System Dynamic Simulation

Simulation model is one of the methods commonly used in Operational Research in order to represent the real situation that occurs in a system as well as to test the scenario based on different behavior.  In this paper we discuss about three different models used in simulation: system dynamic, agent based simulation and discrete event simulation.  The aim of this paper is to compare all these three methods in context of features, advantages, disadvantages and tools being used in each simulation method.  The comparison of this paper also includes the classification of simulation model using taxonomy.  Throughout this paper, we view a few software tools usually being used in a simulation like Vensim, ProModel and AnyLogic.

scholarly journals Ship Block Logistics Simulation Based on Discrete Event Simulation

2015 ◽  
Vol 11 (6) ◽  
pp. 16 ◽  
Author(s):  
Chong Wang ◽  
Yun-sheng Mao ◽  
Zu-quan Xiang ◽  
Yong-qing Zhou
Keyword(s):  
Simulation Model ◽  
Discrete Event Simulation ◽  
Discrete Event ◽  
Simulation Method ◽  
Planning And Scheduling ◽  
Event Simulation ◽  
Simulation Based ◽  
Load Analysis ◽  
Logistics Process ◽  
Des Model

The load of resources in the block logistics process influences the mid-term planning and scheduling of shipyard management. Therefore, load analysis must be conducted before confirming the plans. However, conducting the analysis using the traditional mathematical model is difficult. This study suggests using the discrete event simulation (DES) method for load analysis in advance. The simulation model of actual shipyard block logistics is established by the DES software. Data on the structure of the product, process, resource, and schedule are clearly defined to match the DES model. Partial results through the simulation are discussed in terms of real production activities. The outputs prove that the proposed simulation model can help planners arrive at reasonable and rational decisions related to shipbuilding plans. This simulation method can contribute in strengthening the competitiveness of shipyards.

Agent-Based Simulation Model Representation Using BPMN

2013 ◽  
pp. 378-400 ◽  
Author(s):  
Bhakti S. S. Onggo
Keyword(s):  
System Dynamics ◽  
Conceptual Model ◽  
Discrete Event Simulation ◽  
Discrete Event ◽  
Model Representation ◽  
Good Representation ◽  
Agent Based Simulation ◽  
Agent Based ◽  
Event Simulation ◽  
Business Applications

Conceptual modelling is the process of abstracting a model from a real or proposed system into a conceptual model. An explicit conceptual model representation allows the model to be communicated and analysed by the stakeholders involved in a simulation project. A good representation that can be understood by all stakeholders is especially essential when the project involves different stakeholders. The three commonly used paradigms in business applications are discrete-event simulation, agent-based simulation, and system dynamics. While the conceptual model representations in discrete-event simulation and system dynamics have been dominated by process-flow and stock-and-flow diagrams, respectively, research into the conceptual model representation in agent-based simulation is relatively new. Many existing representation methods for agent-based simulation models are less friendly to business users. This chapter advocates the use of Business Process Model and Notation (BPMN) diagrams for the agent-based simulation conceptual model representation in the context of business applications. This chapter also demonstrates how the proposed BPMN representation and other methods such as Petri Nets, DEVS, and UML are used to represent the well-known SugarScape model.

scholarly journals Application potential of Agent Based Simulation and Discrete Event Simulation in Enterprise integration modelling concepts

2013 ◽  
Vol 1 (1) ◽  
pp. 33-42
Author(s):  
Pawel Pawlewski ◽  
Paulina Golinska ◽  
Paul-Eric Dossou
Keyword(s):  
Discrete Event Simulation ◽  
Selection Process ◽  
Discrete Event ◽  
Simulation Tool ◽  
Tool Selection ◽  
Enterprise Integration ◽  
Agent Based Simulation ◽  
Agent Based ◽  
Event Simulation ◽  
Application Potential

This paper aims to present the dilemma of simulation tool selection. Authors discuss the examples of methodologies of enterprises architectures (CIMOSA and GRAI) where agent approach is used to solve planning and managing problems. Actually simulation is widely used and practically only one tool which can enable verification of complex systems. Many companies face the problem, which simulation tool is appropriate to use for verification. Selected tools based on ABS and DES are presented. Some tools combining DES and ABS approaches are described. Authors give some recommendation on selection process.

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