A Product Lifecycle Management Framework to Support the Exchange of Prototyping and Testing Information

Toche, Boris; Huet, Greg; McSorley, Grant; Fortin, Cle ́ment

doi:10.1115/detc2010-29005

Cited by 6 publications

(8 citation statements)

References 18 publications

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“…The organisation of a product structure results from a logical breakdown technique that meets a set of particular concerns (Dolezal, 2008;Männistö and al., 2001;Maurino, 1994;NASA, 2007;Svensson and Malmqvist, 2002). Most references discern two recurrent logical breakdown approaches: functional (Dolezal, 2008;Garbade and Dolezal, 2007;Mas and al., 2013a;Toche and al., 2010) and manufactured (or assembled, physical, industrial) (Dolezal, 2008;Garbade and Dolezal, 2007;Mas and al., 2013a;Toche and al., 2010), which are used during the engineering and the manufacturing phases, respectively. These structures are sometimes qualified as as-designed and as-planned (Dolezal, 2008;Garbade and Dolezal, 2007;Mas and al., 2013a;al., 2010, 2011).…”

Section: Product Structurementioning

confidence: 99%

An illustrated glossary of ambiguous PLM terms used in discrete manufacturing

Pinquié

Rivest

Segonds

et al. 2015

IJPLM

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Product Lifecycle Management (PLM) is a strategic product-centric, lifecycle-oriented and information-driven business approach that strives to integrate people and their inherent practices, processes, and technologies, both within and across functional areas of the extended enterprise from inception to disposal. The integration of people relies on the harmonisation of domain-specific glossaries by standardising a universal PLM vocabulary. So far, unfortunately, there is no PLM standard vocabulary. Therefore, the tremendous amount of knowledge that is continually brought forward by academic research studies, industrial practices and computer-aided applications causes semantic ambiguities. This paper consists of an illustrated glossary and a conceptual map. The glossary identifies, discusses, clarifies and illustrates ambiguous terms used in discrete

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Section: Product Structurementioning

confidence: 99%

An illustrated glossary of ambiguous PLM terms used in discrete manufacturing

Pinquié

Rivest

Segonds

et al. 2015

IJPLM

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“…Fortin et al [2] developed dynamic links that provide a continuous dynamic exchange of data among different trades, which provides feedback from manufacturing to design. The work of Toche et al [3] is focused on the implementation of a communication model that allows interoperability between the prototyping phase and the design phase. Their model is based on mapping coding and decoding through a central interface exchange.…”

Section: The State Of the Artmentioning

confidence: 99%

“…ns within Digital Mock-Ups for Improved Collaboration elates to two different aspects. The first aspect consists ween heterogeneous objects (design, production...) [2] [3] d tasks [5] [6]. The second aspect is finding better conce er data sharing and change propagation between CAD 12].…”

Section: The State Of the Artmentioning

confidence: 99%

Management of Associations within Digital Mock-Ups for Improved Collaboration

Louhichi

Rivest

2012

Product Lifecycle Management. Towards Knowledge-Rich Enterprises

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In the current collaborative and extended-enterprise environment, product definition must be exchanged between original equipment manufacturers (OEM) and other partners who contribute to the evolution of product definition. In many cases, an information package, which is associated with other objects in the DMU, must thus be extracted from the OEM's Digital Mock-up (DMU) and be sent to partners and suppliers to allow them to perform the required work on their work packages (WP). The objective of our research is to maintain the associations between objects when a work package is removed from the DMU of the originator, modified by the subcontractor, and then reinserted into the DMU. We propose an association management model to transpose the initial work package associations towards the modified work package, to reconcile these associations with the DMU and then propagate changes towards the latter to maintain consistency.

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“…According to the specific processes and the amount and nature of information that can be generated, some specialized tools exist to support prototyping and testing during the aerospace product development. However, these tools retrieve engineering product information from dedicated systems in a transactional mode and are therefore rarely part of an integrated value stream or feedback iteration (Toche et al, 2010). The result is a situation where the development and test information system supports the construction and test of multiple prototypes but all relevant information pertaining to them remain scattered, reducing upstream and downstream visibility.…”

Section: Introductionmentioning

confidence: 99%

“…The same patterns to devise the component's mBOM are often followed to generate these asbuilt structures since both rely on approximately the same resources for the physical construction. However, hardware testing transactions and prototype information tracking are not addressed within common PLM visions (Toche et al, 2010).…”

Section: Typical Context Of Dmu Technologiesmentioning

confidence: 99%

Set-Based Prototyping with Digital Mock-Up Technologies

Toche

Pellerin

Fortin

et al. 2012

Product Lifecycle Management. Towards Knowledge-Rich Enterprises

Self Cite

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Abstract. A prototype results from the need to verify various qualities of the product at different stages of its development. In set-based design, multiplying prototypes is particularly critical to enable a broad exploration of the design space before committing to a solution. The exploration targets the choice of the best of all viable concepts on one hand but on the other hand also focuses on documenting them to better orient the search during the next attempts. This ultimately contributes to gradually improving the company's engineering knowledge. According to current aerospace industry practices and considering the set based development paradigm in Lean thinking, an approach to handle multiple prototypes information with Digital Mock-Up (DMU) technologies is forwarded in this paper. This approach postulates that prototyping and testing activities may be supported by a Manufacturing Process Management (MPM) solution with a special use of three key functionalities, namely: Product Data Management (PDM) and MPM instantiation, MPM links, and Configuration Management (CM). These aspects are essential when handling multiple prototyping sets along with their test results.

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A Product Lifecycle Management Framework to Support the Exchange of Prototyping and Testing Information

Cited by 6 publications

References 18 publications

An illustrated glossary of ambiguous PLM terms used in discrete manufacturing

An illustrated glossary of ambiguous PLM terms used in discrete manufacturing

Management of Associations within Digital Mock-Ups for Improved Collaboration

Set-Based Prototyping with Digital Mock-Up Technologies

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