Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1
Business Dynamics
Simulation Modeling and Analysis
Simulation Modeling and Analysis
Supply chain simulation with discrete-continuous combined modeling
Computers and Industrial Engineering - Supply chain management
Unifying business objects and system dynamics as a paradigm for developing decision support systems
Decision Support Systems
Supply chain and distribution network: semiconductor supply network simulation
Proceedings of the 35th conference on Winter simulation: driving innovation
Computer-assisted supply chain configuration based on supply chain operations reference (SCOR) model
Computers and Industrial Engineering
A Method for Modeling Interactions on Task Representations in Business Task Management Systems
HCSE-TAMODIA '08 Proceedings of the 2nd Conference on Human-Centered Software Engineering and 7th International Workshop on Task Models and Diagrams
One Method to Evaluate the Safety of Train Control Center
CAR '09 Proceedings of the 2009 International Asia Conference on Informatics in Control, Automation and Robotics
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Traditionally decisions made based on simulation models have been the outcomes of complicated statistical analyses and having confidence in them is a subjective matter. Hybrid simulation offers an improved approach to better model real life systems and increase confidence in their outcomes. In particular hybrid discrete-continuous simulation has the potentials to reduce the impact of statistics in building models in addition to other significant benefits. In this paper we use hybrid models of discrete-event simulation and system dynamics to analyze global supply chain decisions. And to increase the decision makers' confidence as well as to make use of their experiences we apply the Analytic Hierarchical Process (AHP) analysis to the simulation results in order to reach better decisions. We describe the benefits of the use of the hybrid simulation and the added advantages of using AHP in order to maximize shareholder value.