A Model-Driven Approach to Interoperability Between Simulation and Optimization for Production and Logistics Systems
Timothy A. Sprock
Simulation and optimization methods are needed to design and operate large-scale, complex systems. Integrating the two presents a number of conceptual and technical problems, which can be overcome in a specific domain using formal system models. This paper presents a model-driven approach to integrating simulation and optimization methods by exchanging formal system models and analysis abstractions between them, defined in SysML. Formal abstractions are linked to specialized system models to specify corresponding analysis models and tool interfaces. This approach (model-driven system-analysis integration) is demonstrated by developing a multi-fidelity, multi-method simulation optimization methodology and applying it to a supply chain design case study.
A Model-Driven Approach to Interoperability Between Simulation and Optimization for Production and Logistics Systems, NIST Interagency/Internal Report (NISTIR), National Institute of Standards and Technology, Gaithersburg, MD, [online], https://doi.org/10.6028/NIST.IR.8326
(Accessed July 26, 2021)