Back to results

Syracuse University

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

Abstract

dc:description.abstract

<p>Due to the needs in supporting lifecycle activities of computational models in Smart Manufacturing (SM), a Knowledge Enriched Computational Model (KECM) is proposed in this dissertation to capture and integrate domain knowledge with standardized computational models. The KECM captures domain knowledge into information model(s), physics-based model(s), and rationales. 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. To support the deployment of computational models in SM systems, the KECM can be used for data integration between computational models and SM systems. A case study has been developed to show the deployment of a Constraint Programming optimization model into a Business To Manufacturing Markup Language (B2MML) -based system. In another situation where multiple computational models need to be deployed, the KECM can be used to support the combination of computational models. A case study has been developed to show the combination of an Agent-based model and a Decision Tree model using the KECM. To support model retrieval, a semantics-based method is suggested in this dissertation. As an example, a dispatching rule model retrieval problem has been addressed with a semantics-based approach. The semantics-based approach has been verified and it demonstrates good capability in using the KECM to retrieve computational models.</p>

Degree

thesis:*
Name thesis:degree_name
Doctor of Philosophy (PhD)
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Mechanical and Aerospace Engineering
Year
2018

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Zhang, Heng
Contributors dc:contributor
  • Utpal Roy

Subjects

dc:subject × 7

Identifiers

dc:identifier.*
Repository record dc:identifier
https://surface.syr.edu/etd/947
OAI identifier oai:identifier
oai:surface.syr.edu:etd-1948

Chain of custody

source
Harvested from
Syracuse University
Base URL
surface.syr.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Zhang, Heng. A Knowledge Enriched Computational Model to Support Lifecycle Activities of Computational Models in Smart Manufacturing. Dissertation thesis, 2018. https://surface.syr.edu/etd/947