Meta-modeling framework: A new approach to manage meta-modelbase and modeling knowledge

Abstract

In this era of digital revolution models are considered an important organizational resource. This demands a new approach in managing the repository of models for decision makers. This study presents a framework for meta-modeling of knowledge. The study proposes a generalized method for meta-modelbase management to use, store, and manage modeling knowledge. Further, to illustrate the application of the meta-modeling framework, we present the design and development of MetaSimModel – a knowledge-based decision support environment to organize, manage, use, and reuse modeling knowledge of simulation models in a flexible manufacturing environment. This study illustrates the use of meta-models (models that store knowledge about other models) to represent models. The ability to construct larger, composite models from reusable, pre-fabricated components plays an important role in improving productivity in a modeling environment.