The Designers’ Workbench: Using Ontologies and Constraints for Configuration

Fowler, David W.; Sleeman, Derek; Wills, Gary; Lyon, Terry L.; Knott, David

doi:10.1007/1-84628-103-2_15

Cited by 15 publications

(12 citation statements)

References 12 publications

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“…Product configuration is one of the key technologies to achieve mass customization [1−5] . At present, the intelligent design of product configuration is the direction of academic research [2] , but some difficult problems, such as the representation of the knowledge of configuration, establishment of the knowledge base, etc, have troubled researchers. In recent years, case-based reasoning (CBR) technology is introduced into the field of product configuration [5] .…”

Section: Introductionmentioning

confidence: 99%

Extended object model for product configuration design

Liang

Sheng

2010

Int. J. Autom. Comput.

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This paper presents an extended object model for case-based reasoning (CBR) in product configuration design. In the extended object model, a few methods of knowledge expression are adopted, such as constraints, rules, objects, etc. On the basis of extended object model, case representation model for CBR is applied to product configuration design system. The product configuration knowledge can be represented by the extended object. The model can support all the processes of CBR in product configuration design, such as case representation, indexing, retrieving, and case revising. The presented model is an extension of the traditional object-oriented model by including the relationship class used to express the relation between the cases, constraints class used in the product configuration knowledge representation, index class used in case retrieving, and solution class used in case revising. Therefore, the product configuration knowledge used in the product configuration design can be represented by using this model. In the end, a metering pump product configuration design system is developed on the basis of the proposed product configuration model to support customized products.

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Section: Introductionmentioning

confidence: 99%

Extended object model for product configuration design

Liang

Sheng

2010

Int. J. Autom. Comput.

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“…In our discussion with all the designers evaluating the Desktop, it was clear that if this system was deployed, it would have a significantly beneficial effect on their day-to-day activities. It should be noted that the Knowledge Desktop is just one a range of tools that the designer will require in the future, some of which are discussed in Fowler and Sleeman (2004) ;Crowder et al (2003).…”

Section: Discussionmentioning

confidence: 99%

An information system to support the engineering designer

et al. 2010

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Engineering companies are currently shifting their focus from selling products to providing services, hence the products' designers must increasingly consider life-cycle requirements, in addition to conventional design parameters. To identify possible areas of concern, engineers must consider knowledge throughout the life cycle of similar or related products. However, because of the size and distributed nature of a company's operation, engineers often do not have access to front-line maintenance data. In addition, the large number of documents generated during the design and operation of a product makes it impractical to manually review all documents thoroughly during a task. As a case study, this paper discusses the concept and development of a large hypermedia based Knowledge Desktop that has been developed to support the maintenance and future design of aircraft engines. As part of the development cycle, the performance of the software and its acceptance by the user community has been fully evaluated. The evaluation method considered in this paper focuses on the subjective opinion of the users and measures the ease with which users could retrieve the information required to perform specific tasks.

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“…A very interesting, but more specialised, knowledge maintenance tool is ConEditor [14] that assists in acquiring and maintaining constraints in Engineering Design using ontologies. ConEditor is currently being integrated with the Designers' Workbench [15], which supports designers by checking if their design configurations satisfy both physical and organizational constraints. Currently the Designers' Workbench only uses a predicate check to detect constraint violation.…”

Section: Interactive Knowledge Elicitation Toolsmentioning

confidence: 99%

Maintaining constraint-based applications

Nordlander

Freuder

Wallace

2007

Proceedings of the 4th International Conference on Knowledge Capture

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Many knowledge-based applications require knowledge maintenance to keep the application functional throughout its lifecycle. In this paper we present iCAM, a constraintbased knowledge maintenance system that operates in a hospital's material management domain. iCAM uses consistency algorithms to assist users in placing orders and making order corrections, and to ensure that maintenance activities are consistent with the department's ordering environment. This approach allows iCAM to interact with the user to revise orders and/or to update the knowledge base. For the user, there is not much distinction between these two tasks. This is one of iCAM's greatest strengths; order corrections and knowledge maintenance are carried out in a similar manner, since both are based on inconsistencies with respect to the existing knowledge base. iCAM has various constraint types that support physical and policy restrictions. It also allows maintenance to be done by a number of users while maintaining the integrity of the knowledge base by a system of role restrictions.

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The Designers’ Workbench: Using Ontologies and Constraints for Configuration

Cited by 15 publications

References 12 publications

Extended object model for product configuration design

Extended object model for product configuration design

An information system to support the engineering designer

Maintaining constraint-based applications

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