scholarly journals Strategic Decision Making for the North West Air Ambulance Charity using Discrete Event Simulation

2021 ◽  
Author(s):  
Lucy Morgan ◽  
◽  
Roger Brooks ◽  
Keyword(s):  
Decision Making ◽  
Discrete Event Simulation ◽  
Discrete Event ◽  
Strategic Decision ◽  
Strategic Decision Making ◽  
Air Ambulance ◽  
North West ◽  
Event Simulation ◽  
The North

Discrete event simulation to aid decision-making and mitigation in solid waste management

2019 ◽  
Vol 25 (1) ◽  
pp. 67-85 ◽  
Author(s):  
Raquel Lopes de Oliveira ◽  
Liliane Dolores Fagundes ◽  
Renato da Silva Lima ◽  
Marcelo Montaño
Keyword(s):  
Decision Making ◽  
Waste Management ◽  
Solid Waste ◽  
Discrete Event Simulation ◽  
Solid Waste Management ◽  
Discrete Event ◽  
Event Simulation ◽  
Aid Decision

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.

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