Concurrent engineering through product data standards

Carver, G. P.; Bloom, Howard

doi:10.6028/nist.ir.4573

Cited by 11 publications

(5 citation statements)

References 4 publications

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“…As noted in [2], "Unlike PDM systems which focus on managing data, Product Lifecycle Management (PLM), at its core, is a process which supports capture, organization and reuse of knowledge throughout the product lifecycle." PLM is influenced by knowledge from various stakeholders, helping manufacturers to manage "stages of existence" as a product progresses through its lifecycle [3]. PLM "seeks to fill the gap between enterprise business processes and product development processes [2].…”

Section: Leveraging Product Lifecycle Managementmentioning

confidence: 99%

Towards the Synthesis of Product Knowledge Across the Lifecycle

Witherell

Kulvatunyou

Rachuri

2013

Volume 12: Systems and Design

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Product lifecycle management is an important aspect of today’s industry, as it serves to facilitate information exchange and management between most, if not all, stages of a product’s existence. As exchanged product information is inevitably subjected to multiple transformations and derivations, information transparency between lifecycle stages can be difficult to achieve. Synthesizing representations of product information across the lifecycle, by creating a lifecycle-stage-independent platform, can provide transparent access to information for both upstream and downstream applications. In this paper, we review previous and ongoing efforts using ontologies as a means to support information integration and interoperability throughout the lifecycle of a product. We propose that existing efforts can be leveraged to create an upper-tiered ontology for product information. The resulting ontology, a core model for product lifecycle information, would support the synthesis and exchange of product information across lifecycle stages, improving access to this information and facilitating lifecycle thinking. We discuss the use of ontologies as a means to create and link paradigm-independent representations. We discuss the translations that product information may face when integrated through ontologies, and the extent to which the integrity of the information can be preserved across the lifecycle. We investigate the role of information quality in the exchange and evolution of product information across the lifecycle. Finally, we discuss the application of an upper-tiered ontology, particularly the advantages offered by increased transparency and interoperability, as a means to support lifecycle thinking for mitigating a product’s sustainability impact.

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Section: Leveraging Product Lifecycle Managementmentioning

confidence: 99%

Towards the Synthesis of Product Knowledge Across the Lifecycle

Witherell

Kulvatunyou

Rachuri

2013

Volume 12: Systems and Design

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show abstract

“…The five major components of a STEP AP were introduced in Chapter 4, and are the [141] The scope of an AP describes the functionality and information that are accommodated by the AP. The scope of an AP is defined by the:…”

Section: Components Of An Application Protocolmentioning

confidence: 99%

STEP, the grand experience

Kemmerer¹

1999

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“…One may even argue: what need is there to have a common representation when what one really needs are translators? The STandard for the Exchange of Product model data (STEP) is being developed as an international standard for product data sharing [1]. If there actually is one gigantic STEP model of all of the data to define a product, then the word Translator will be replaced by the word Application Protocol.…”

Section: Product Data Accessmentioning

confidence: 99%

“…Product data modeling has been extensively studied, focusing on the standards for expressing the data required to define the finished product for design and manufacturing (1). In the context of the DICE (DARPA Initiative in Concurrent Engineering) project these standards are seen as highly desirable to be adopted and followed by the CAD vendors and tool developers, so that part data of all types may be exchanged among the gamut of engineering tools.…”

Section: Introductionmentioning

confidence: 99%

Modeling evolving product data for concurrent engineering

Cleetus

1995

Engineering with Computers

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Concurrent engineering through product data standards

Cited by 11 publications

References 4 publications

Towards the Synthesis of Product Knowledge Across the Lifecycle

Towards the Synthesis of Product Knowledge Across the Lifecycle

STEP, the grand experience

Modeling evolving product data for concurrent engineering

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