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Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering

An Integrated Approach To Information Modeling For The Sustainable Design Of Products, Douglas C. Eddy, Sundar Krishnamurty, Ian R. Grosse, Paul Witherell, Kemper E. Lewis Apr 2014

An Integrated Approach To Information Modeling For The Sustainable Design Of Products, Douglas C. Eddy, Sundar Krishnamurty, Ian R. Grosse, Paul Witherell, Kemper E. Lewis

Center for e-Design Publications

The design of more sustainable products can be best accomplished in a tradeoff-based design process that methodically handles conflicting objectives. Such conflicts are often seen between, environmental impact, cost, and product performance. To support such a process, this paper proposes the development of an environment where sustainability considerations are explicitly introduced early into the design process. This explicitness is provided by integrating the requirements information of sustainability standards and regulations directly into the design process. The emergence of the semantic web provides an interoperable environment in which the context and meaning of knowledge about the relationships among various domains can ...


Aiero: An Algorithm For Identifying Engineering Relationships In Ontologies, Paul Witherell, Ian R. Grosse, Sundar Krishnamurty, Jack C. Wileden Oct 2013

Aiero: An Algorithm For Identifying Engineering Relationships In Ontologies, Paul Witherell, Ian R. Grosse, Sundar Krishnamurty, Jack C. Wileden

Center for e-Design Publications

Semantic technologies are playing an increasingly popular role as a means for advancing the capabilities of knowledge management systems. Among these advancements, researchers have successfully leveraged semantic technologies, and their accompanying techniques, to improve the representation and search capabilities of knowledge management systems. This paper introduces a further application of semantic techniques. We explore semantic relatedness as a means of facilitating the development of more “intelligent” engineering knowledge management systems. Using semantic relatedness quantifications to analyze and rank concept pairs, this novel approach exploits semantic relationships to help identify key engineering relationships, similar to those leveraged in change management systems ...


Improving The Aerospace Capstone Design Experience Through Simulation Based Learning, Wm. Michael Butler, Janis P. Terpenny, Richard M. Goff, Rajkumar S. Pant, Heidi M. Steinhauer Jan 2012

Improving The Aerospace Capstone Design Experience Through Simulation Based Learning, Wm. Michael Butler, Janis P. Terpenny, Richard M. Goff, Rajkumar S. Pant, Heidi M. Steinhauer

Center for e-Design Publications

A key role of universities is to prepare students to work in their chosen profession upon completion of their degree program. Engineering capstone design courses are often the only required courses that challenge students to draw on nearly all of the students’ previous collegiate learning experiences and to synthesize and apply these to creating a new solution to an engineering problem. Aside from internship and co-op experiences, these are often the first courses that expose engineering students to some of the technical and political issues that they will often face in their professional engineering careers. Industry often looks at these ...


Ontologies For Supporting Engineering Design Optimization, Paul Witherell, Sundar Krishnamurty, Ian R. Grosse Jun 2007

Ontologies For Supporting Engineering Design Optimization, Paul Witherell, Sundar Krishnamurty, Ian R. Grosse

Center for e-Design Publications

This paper presents an optimization ontology and its implementation into a prototype computational knowledge-based tool dubbed ONTOP (ontology for optimization). Salient feature of ONTOP include a knowledge base that incorporates both standardized optimization terminology, formal method definitions, and often unrecorded optimization details, such as any idealizations and assumptions that may be made when creating an optimization model, as well as the model developer’s rationale and justification behind these idealizations and assumptions. ONTOP was developed using Protégé, a Java-based, free open-source ontology development environment created by Stanford University. Two engineering design optimization case studies are presented. The first case study ...


Intellectual Property Protection In Collaborative Design Through Lean Information Modeling And Sharing, Yan Wang, Pamela N. Ajoku, José C. Brustoloni, Bart O. Nnaji Jun 2006

Intellectual Property Protection In Collaborative Design Through Lean Information Modeling And Sharing, Yan Wang, Pamela N. Ajoku, José C. Brustoloni, Bart O. Nnaji

Center for e-Design Publications

Establishing efficient, effective, and trustworthy engineering collaboration while protecting intellectual property is vital to maintain organizational competence in today’s global business environment. In this paper, a lean information modeling and sharing framework is described to support engineering data security management in a peer-to-peer collaborative environment. It allows for selective and interoperable data sharing with fine-grained access control at both the server and client sides, thus securing different levels of design information dissemination for intellectual property protection purposes. The considerations of time and value-adding activity with roles, policy delegation relation in a distributed context, and fine-grained control at data set ...


Ontologies For Supporting Engineering Analysis Models, Ian R. Grosse, John M. Milton-Benoit, Jack C. Wileden Jan 2005

Ontologies For Supporting Engineering Analysis Models, Ian R. Grosse, John M. Milton-Benoit, Jack C. Wileden

Center for e-Design Publications

In this paper we lay the foundations for exchanging, adapting, and interoperating engineering analysis models (EAMs). Our primary foundation is based upon the concept that engineering analysis models are knowledge-based abstractions of physical systems, and therefore knowledge sharing is the key to exchanging, adapting, and interoperating EAMs within or across organizations. To enable robust knowledge sharing, we propose a formal set of ontologies for classifying analysis modeling knowledge. To this end, the fundamental concepts that form the basis of all engineering analysis models are identified, described, and typed for implementation into a computational environment. This generic engineering analysis modeling ontology ...