Integrated Framework for Modeling & Simulation of Complex Production Systems

@inproceedings{graul03integrated, abstract = {The time-consuming and challenging tasks of large-scale simulation modeling; knowledge collection from disparate sources, model building and validating, and multiple-scenario simulation runs to find best solutions are generally distributed between several specialized tools. Because manufacturing and business systems are complex systems encompassing many different sub-systems and because different domain experts are involved in designing, implementing, and maintaining the different sub-systems, it is becoming imperative that descriptions from different domain experts are captured, stored, integrated with data from legacy information systems and used to design multiple simulation models of the enterprise systems. This paper presents the concept and a framework for capture and maintenance of multiple descriptions and its applicability in manufacturing systems modeling and simulation. It presents a knowledge-based approach to supporting the integration of multiple descriptions with data collected from legacy status data for use in the design and generation of valid simulation models. This effort, On-Demand Simulation and Scheduling (ODSS), created an adaptive modeling and simulation framework with knowledge management tools, automated generation of simulation models, experimentation environment and seamless integration with the legacy systems for users in the dynamic context of Maintenance, Repair, and Overhaul(MRO).}, author = {Graul, Michael }, booktitle = {6th Annual System Engineering Conference}, citeulike-article-id = {796358}, keywords = {enterprise, maintenance, simulation}, month = {October}, posted-at = {2006-08-10 18:32:52}, priority = {2}, title = {Integrated Framework for Modeling \& Simulation of Complex Production Systems}, url = {http://www.dtic.mil/ndia/2003systems/graul.pdf}, year = {2003} }

TY - CONF ID - graul03integrated L3 - citeulike-article-id:796358 TI - Integrated Framework for Modeling & Simulation of Complex Production Systems T2 - 6th Annual System Engineering Conference N2 - The time-consuming and challenging tasks of large-scale simulation modeling; knowledge collection from disparate sources, model building and validating, and multiple-scenario simulation runs to find best solutions are generally distributed between several specialized tools. Because manufacturing and business systems are complex systems encompassing many different sub-systems and because different domain experts are involved in designing, implementing, and maintaining the different sub-systems, it is becoming imperative that descriptions from different domain experts are captured, stored, integrated with data from legacy information systems and used to design multiple simulation models of the enterprise systems. This paper presents the concept and a framework for capture and maintenance of multiple descriptions and its applicability in manufacturing systems modeling and simulation. It presents a knowledge-based approach to supporting the integration of multiple descriptions with data collected from legacy status data for use in the design and generation of valid simulation models. This effort, On-Demand Simulation and Scheduling (ODSS), created an adaptive modeling and simulation framework with knowledge management tools, automated generation of simulation models, experimentation environment and seamless integration with the legacy systems for users in the dynamic context of Maintenance, Repair, and Overhaul(MRO). KW - enterprise KW - maintenance KW - simulation AU - Graul, Michael PY - 2003/10// UR - http://www.dtic.mil/ndia/2003systems/graul.pdf ER -