Journal Published Online: 30 November 2018
Volume 2, Issue 1

A Knowledge-Enriched Computational Model to Support Lifecycle Activities of Computational Models in Smart Manufacturing

CODEN: SSMSCY

Abstract

Because of the needs in developing industrial community modeling and simulation platforms for smart manufacturing, a Knowledge-Enriched Computational Model (KECM) is proposed in this article to formally capture domain knowledge and integrate that knowledge with standardized computational models. To support model development in a distributed environment, the KECM can be used as the medium for formal information sharing between model developers. A case study has been developed to demonstrate the utilization of the KECM in supporting the construction of a Bayesian Network model between a domain expert and data analyst. To support model deployment, a general method to support the integration of computational models into a manufacturing data system has been presented. A case study has been developed to show the data integration of an optimization model into a Business To Manufacturing Markup Language-based manufacturing system. Finally, a general model to support the combination of computational models have been presented. A case study has been developed to show the combination of an Agent-based model and a Decision Tree model using the KECM.

Author Information

Zhang, Heng
Department of Mechanical and Aerospace Engineering, Syracuse University, Syracuse, NY, USA
Roy, Utpal
Department of Mechanical and Aerospace Engineering, Syracuse University, Syracuse, NY, USA
Pages: 23
Price: Free
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Details
Stock #: SSMS20180036
ISSN: 2520-6478
DOI: 10.1520/SSMS20180036