scholarly journals Discrete Event Simulation: State of the Art

10.5772/9894 ◽  
2010 ◽  
Author(s):  
Eduard Babulak ◽  
Ming Wang
Keyword(s):  
Discrete Event Simulation ◽  
State Of The Art ◽  
Discrete Event ◽  
Event Simulation

scholarly journals Methods for Weighting Decisions to Assist Modelers and Decision Analysists: A Review of Ratio Assignment and Approximate Techniques

2021 ◽  
Vol 11 (21) ◽  
pp. 10397
Author(s):  
Barry Ezell ◽  
Christopher J. Lynch ◽  
Patrick T. Hester
Keyword(s):  
Decision Making ◽  
Discrete Event Simulation ◽  
Computational Models ◽  
State Of The Art ◽  
Discrete Event ◽  
Agent Based Modeling ◽  
Decision Makers ◽  
Agent Based ◽  
Event Simulation ◽  
Decision Making Processes

Computational models and simulations often involve representations of decision-making processes. Numerous methods exist for representing decision-making at varied resolution levels based on the objectives of the simulation and the desired level of fidelity for validation. Decision making relies on the type of decision and the criteria that is appropriate for making the decision; therefore, decision makers can reach unique decisions that meet their own needs given the same information. Accounting for personalized weighting scales can help to reflect a more realistic state for a modeled system. To this end, this article reviews and summarizes eight multi-criteria decision analysis (MCDA) techniques that serve as options for reaching unique decisions based on personally and individually ranked criteria. These techniques are organized into a taxonomy of ratio assignment and approximate techniques, and the strengths and limitations of each are explored. We compare these techniques potential uses across the Agent-Based Modeling (ABM), System Dynamics (SD), and Discrete Event Simulation (DES) modeling paradigms to inform current researchers, students, and practitioners on the state-of-the-art and to enable new researchers to utilize methods for modeling multi-criteria decisions.

Applications of simulation to traffic problems

SIMULATION ◽  
1970 ◽  
Vol 14 (3) ◽  
pp. 135-136 ◽  
Author(s):  
M. Ramsay Wigan
Keyword(s):  
Discrete Event Simulation ◽  
Present State ◽  
Traffic Simulation ◽  
Network Flows ◽  
State Of The Art ◽  
Discrete Event ◽  
Car Following ◽  
Event Simulation ◽  
Survey Techniques ◽  
Work Done

The present state of the art of simulating traffic problems is reviewed in outline, and part of a briefly annotated bib liography of the work done on traffic simulation is pre sented. The full 206-item bibliography (available from the author) covers discrete event simulation of such situations as intersection and network flows, and also more general techniques such as 'car-following' models. Transportation survey techniques—such as assignment and distribution- are not specifically covered.

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