To solve problems through modeling and simulation, the target system in the real world must be represented on a computer according to the user’s purpose, and the resulting model must be executed and analyzed through the simulation process. During th...
To solve problems through modeling and simulation, the target system in the real world must be represented on a computer according to the user’s purpose, and the resulting model must be executed and analyzed through the simulation process. During this process, developers modify model combinations and data to respond to various What-if-Questions and to derive simulation results. However, in handling these What-if-Questions, repetitive executions often occur unnecessarily in sections prior to the point of interest, leading to inefficiency.Therefore, this study proposes a simulation configuration methodology that applies simulation journaling to reduce such inefficiencies in both the development and execution of simulation environments. The proposed approach stores the state of a simulation model or engine at specific execution points and restores it later, allowing modifications, additions, and deletions of models to shorten the implementation process of What-if-Questions and provide a more efficient experimental environment.