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| Monitavoitetoinen diskreettitapahtumasimulaatio× | Monitavoitteinen systeemidynamiikka× | |
|---|---|---|
| Tieteenala | Simulointi | Simulointi |
| Menetelmäperhe | Process / pipeline | Process / pipeline |
| Syntyvuosi≠ | 1990s–2000s | 1961 (SD); multi-objective extensions from 1990s onward |
| Kehittäjä≠ | Various (DES: Tocher 1963; multi-objective integration: 1990s–2000s OR literature) | Forrester, J. W. (System Dynamics); multi-objective extension by various authors |
| Tyyppi≠ | Simulation-optimization hybrid | Simulation / optimization hybrid |
| Alkuperäislähde≠ | Kleijnen, J. P. C., & Gaury, E. (2003). Short-term robustness of production management systems: A case study. European Journal of Operational Research, 148(2), 452–465. DOI ↗ | Sterman, J. D. (2000). Business Dynamics: Systems Thinking and Modeling for a Complex World. McGraw-Hill. ISBN: 978-0-07-231135-8 |
| Rinnakkaisnimet | MO-DES, Multi-objective DES, Pareto-based discrete-event simulation, DES with multi-objective optimization | MOSD, Multi-criteria SD, Multi-objective SD modeling, System dynamics with multiple objectives |
| Liittyvät≠ | 5 | 4 |
| Tiivistelmä≠ | Multi-Objective Discrete-Event Simulation (MO-DES) couples a discrete-event simulation engine with multi-objective optimization to explore trade-offs among two or more conflicting performance measures — such as throughput, cost, and waiting time — across stochastic, time-ordered process models. It is widely applied in manufacturing, logistics, healthcare, and service system design. | Multi-Objective System Dynamics (MOSD) couples the feedback-loop simulation power of System Dynamics with explicit multi-criteria optimization, enabling analysts to explore how a dynamic system can simultaneously satisfy competing policy goals — such as cost minimization, environmental sustainability, and social equity — over time. |
| ScholarGateAineisto ↗ |
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