An information and knowledge framework for multi-perspective design and manufacture

Gunendran, A. George; Young, Robert I. M.

doi:10.1080/09511920500399508

Cited by 22 publications

(15 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In Figure 1, these multiple perspectives include "Geometric Dimensioning and Tolerancing", "Function", "Process Planning and Execution", "Machining Resource" and may consist of other views as well. Multiple perspectives of the same artifact result in multi-viewpoint models (Kugathasan and McMahon, 2001;Gunendran and Young, 2006). Multi-viewpoint models of a type of product naturally overlap with each other since they pertain to the same artifact.…”

Section: Semantics In Design and Manufacturementioning

confidence: 99%

“…The capture and representation of similar structures are necessary in order to support multi-viewpoint information sharing (Kugathasan and McMahon, 2001;Canciglieri and Young, 2003;Gunendran and Young, 2006). Furthermore, to capture the interactions between elements from different view-specific semantics, relationships need to be made across views so that the knowledge contained in one viewpoint can be interpreted in another without any loss of meaning.…”

Section: Semantics In Design and Manufacturementioning

confidence: 99%

See 1 more Smart Citation

The configuration of design and manufacture knowledge models from a heavyweight ontological foundation

Chungoora¹,

Young²

2011

International Journal of Production Research

View full text Add to dashboard Cite

Problems related to knowledge sharing in design and manufacture, for supporting automated decision-making procedures, are associated with the inability to communicate the full meaning of concepts and their intent within and across system boundaries. To remedy these issues, it is important that the explicit structuring of semantics, i.e. meaning in computation form, is first performed and that these semantics become sharable across systems. This paper proposes a Common Logic-based ontological foundation as a basis for capturing the meaning of core feature-oriented design and manufacture concepts. This foundation serves as a semantic ground over which design and manufacture knowledge models can be configured in an integrity-driven way. The implications involved in the specification of the ontological foundation are discussed alongside the types of mechanisms that allow knowledge models to be configured. A test case scenario is then analysed in order to further support and verify the researched approach.

show abstract

Section: Semantics In Design and Manufacturementioning

confidence: 99%

Section: Semantics In Design and Manufacturementioning

confidence: 99%

The configuration of design and manufacture knowledge models from a heavyweight ontological foundation

Chungoora¹,

Young²

2011

International Journal of Production Research

View full text Add to dashboard Cite

show abstract

“…The knowledge pool is updated whenever the DMA finds new or revised solutions. The exact structure of the knowledge pool, incorporated knowledge management [67,68] and best-practice identification and capture is beyond the scope of this work. However, these things must be considered in future.…”

Section: Knowledge Poolmentioning

confidence: 99%

A data mining integrated architecture for shop floor control

Srinivas

Harding

2008

Proceedings of the Institution of Mechanical Engineers, Part B:

View full text Add to dashboard Cite

The dynamics of the market are forcing shop floor control systems to enhance their intelligence and reactivity to change. The control system must also have mechanisms to process the vast amount of data, which is generated with the application of cheap data logging systems and should also incorporate a mechanism for continuous learning. Data mining provides a mechanism for analysing data and generating new knowledge. This paper presents an intelligent knowledge-based decision support system for shop floor control, which incorporates data mining techniques and intelligent agent technology to provide useful information, knowledge, and a mechanism for continuous learning. The functioning of the system is described and the architecture of different agents that constitute the system has been discussed in terms of the different modules required. A process to integrate the individual data mining agents associated with the different processes has also been described. Finally a prototype of the system is presented to demonstrate the application of this agent-based system.

show abstract

“…In [30] the authors analyse the design and manufacturing views and their interactions in order to propose a framework supporting multiple viewpoint information integration. According to our research objective, we base our conceptual model on their approach and add the specificities of simulation information (especially DF one), which are missing in their proposition.…”

Section: Information View Definitionmentioning

confidence: 99%

“…Further, the tank manufacturer considers the preparation of the production, like the association of manufacturing operations to station and operators for instance, with the objective to ensure an adequate production for a good product as early as possible. In the next section, we propose to enrich the product and manufacturing information model proposed by [30] in order to support information required for DF simulations.…”

Section: Information View Definitionmentioning

confidence: 99%

Conceptual Model for Management of Digital Factory Simulation Information

Ayadi

Affonso

Cheutet

et al. 2013

Int. j. simul. model.

View full text Add to dashboard Cite

Digital Factory (DF) aims at proposing simulation tools to design a product and its production system in parallel. Nevertheless, DF is marked by the multiplicity and heterogeneity of simulation models that are used, that slows down its usage in industry. We propose in this paper a conceptual model to manage the different simulation information created and manipulated through a DF project. This model is based on an analysis of the current design strategies and the used simulation tools. Finally, an industrial application has been developed to validate the completeness of this model.

show abstract

An information and knowledge framework for multi-perspective design and manufacture

Cited by 22 publications

References 27 publications

The configuration of design and manufacture knowledge models from a heavyweight ontological foundation

The configuration of design and manufacture knowledge models from a heavyweight ontological foundation

A data mining integrated architecture for shop floor control

Conceptual Model for Management of Digital Factory Simulation Information

Contact Info

Product

Resources

About