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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 ...


Ontology-Based Multiplatform Identification Method, Yanfeng Li, Xiaomeng Chang, Janis P. Terpenny, Tracee Gilbert Sep 2010

Ontology-Based Multiplatform Identification Method, Yanfeng Li, Xiaomeng Chang, Janis P. Terpenny, Tracee Gilbert

Center for e-Design Publications

This paper puts forward a multiplatform identification method to overcome the limitations of a single platform strategy when mass customization is required. The method is applied to redesign or consolidate an existing product family. The method consists of four steps: (1) the determination of component values, (2) the estimation of component redesign efforts, (3) the platform component identification, and (4) the formation of multiple platform instances. An ontology-based framework is also provided to facilitate the information representation and the data integration in the identification of multiplatform structure. Once the platforms are identified, an ontology reasoning mechanism verifies the platform sharing ...


A Semantic Information Model For Capturing And Communicating Design Decisions, Justin A. Rockwell, Ian R. Grosse, Sundar Krishnamurty, Jack C. Wileden Sep 2010

A Semantic Information Model For Capturing And Communicating Design Decisions, Justin A. Rockwell, Ian R. Grosse, Sundar Krishnamurty, Jack C. Wileden

Center for e-Design Publications

A semantic information model to improve reuse and communication of engineering design knowledge is presented in this paper. We consider design to be a process involving a sequence of decisions informed by the current state of information. As such, the information model developed is structured to reflect the conceptualizations of engineering design decisions with a particular emphasis on semantically capturing design rationale. Through the approach presented, knowledge reuse is achieved by communicating design rationale. A case study is presented to illustrate two key features of the approach: (1) seamless integration of separate modular domain ontologies and instance knowledge related to ...


Improved Knowledge Management Through First-Order Logic In Engineering Design Ontologies, Paul Witherell, Sundar Krishnamurty, Ian R. Grosse, Jack C. Wileden May 2010

Improved Knowledge Management Through First-Order Logic In Engineering Design Ontologies, Paul Witherell, Sundar Krishnamurty, Ian R. Grosse, Jack C. Wileden

Center for e-Design Publications

This paper presents the use of first-order logic to improve upon currently employed engineering design knowledge management techniques. Specifically, this work uses description logic in unison with Horn logic, to not only guide the knowledge acquisition process but also to offer much needed support in decision making during the engineering design process in a distributed environment. The knowledge management methods introduced are highlighted by the ability to identify modeling knowledge inconsistencies through the recognition of model characteristic limitations, such as those imposed by model idealizations. The adopted implementation languages include the Semantic Web Rule Language, which enables Horn-like rules to ...


Designing Hands-On Teaming Activities: Exploring Sustainability Tradeoffs For Courses With Large Enrollments, Christopher R. Williams, Lisa D. Mcnair, Erin D. Crede, Marie C. Paretti, Janis P. Terpenny Jan 2010

Designing Hands-On Teaming Activities: Exploring Sustainability Tradeoffs For Courses With Large Enrollments, Christopher R. Williams, Lisa D. Mcnair, Erin D. Crede, Marie C. Paretti, Janis P. Terpenny

Center for e-Design Publications

In this paper, the authors explore sustainability issues that exist in the development of hands-on activities for classes with large enrollments. Specifically, the authors study four different teambuilding activities, all with varying levels of resource commitment, to assess potential tradeoffs between cost, environmental impact, and learning objectives pertaining to design and teaming. Faced with several alternatives and multiple, conflicting objectives, the authors approach this choice from a design context. Specifically, following the identification of activity constraints and objectives, activity alternatives are evaluated against several metrics with post-activity student surveys. Survey data is then translated into an appropriate input for a ...


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 ...


Utilizing Assistive Technology Design Projects And Interdisciplinary Teams To Foster Inquiry And Learning In Engineering Design, Janis P. Terpenny, Richard M. Goff, Mitzi R. Vernon, William R. Green Jan 2006

Utilizing Assistive Technology Design Projects And Interdisciplinary Teams To Foster Inquiry And Learning In Engineering Design, Janis P. Terpenny, Richard M. Goff, Mitzi R. Vernon, William R. Green

Center for e-Design Publications

In industry, successful products and systems usually require a collaborative design process with a multitude of participating stakeholders (customers, sales/marketing, industrial designers, engineering designers from various engineering disciplines, manufacturing, distribution, etc.). Addressing this future work environment, interdisciplinary teaming has become an important element of student design projects. For the last several years at Virginia Tech, interdisciplinary design projects have been created with teams of students from the first year Exploration of Engineering Design course in the College of Engineering and students from the second year Industrial Design Program in the College of Architecture and Urban Studies. While students and ...


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 ...