Intelligent Systems in Operations: Methods, Models, and Applications in the Supply Chain
This chapter describes the use of simulation systems for decision support in support of real operations, which is the most challenging application domain in the discipline of modeling and simulation. To this end, the systems must be integrated as services into the operational infrastructure. To support discovery, selection, and composition of services, they need to be annotated regarding technical, syntactic, semantic, pragmatic, dynamic, and conceptual categories. The systems themselves must be complete and validated. The data must be obtainable, preferably via common protocols shared with the operational infrastructure. Agents and automated forces must produce situation adequate behavior. If these requirements for simulation systems and their annotations are fulfilled, decision support simulation can contribute significantly to the situational awareness up to cognitive levels of the decision maker.
Original Publication Citation
Tolk, A. (2010). Using simulation systems for decision support. In B. Nag (Ed.), Intelligent systems in operations: Methods, models, and applications in the supply chain (pp. 253-272). Hershey, PA: Business Science Reference (an Imprint of IGI Global).
Tolk, Andreas, "Using Simulation Systems for Decision Support" (2010). Computational Modeling & Simulation Engineering Faculty Publications. 53.
© 2010, Business Science Reference (an imprint of IGI Global), distributing in print or electronic forms without written permission of IGI Global is prohibited.
This work was previously published in Handbook of Research on Discrete Event Simulation Environments: Technologies and Applications edited by E. Abu-Taieh & A. El Sheikh, pp. 317-336, Copyright 2010 by Information Science Reference (an imprint of IGI Global)