Customised high-value document generation

Preez, N.D. du; Perry, Nicolás; Candlot, Alexandre; Bernard, Alain; Uys, Wilhelm; Louw, Louis

doi:10.1016/s0007-8506(07)60064-x

Cited by 10 publications

(4 citation statements)

References 9 publications

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“…Customized high-value document generation [4] requires synchronization of the inputs given by different experts to the process planning in the engineering product development. The goal of this work is to generate a value added document, e.g., experts supported semi-automatic generation of a CAM (Computer-Aided Manufacturing) document from the original CAD (Computer-Aided Design) document.…”

Section: High Value Document Generationmentioning

confidence: 99%

Model-based documentation

Farazi

Chapman

Raju

et al. 2017

Encyclopedia Semant. Comput. Robot. Int.

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Knowledge acquisition is becoming an integral part of the manufacturing industries, which rely on domain experts in various phases of product life cycle including design, analysis, manufacturing, operation and maintenance. It has the potential to enable knowledge reuse, however, poorly managed knowledge can cause information loss and inefficiency. If technical documentation is managed well in the manufacturing industries, intended piece of knowledge can easily be located, used and reused for purpose and as a result, the corresponding industry can be benefited. Some examples of technical documentation are design specification, operating manual and maintenance manual. Model-based Documentation (MBD) is a documentation approach that uses model to provide structure to the data of the documents. MBD can be thought of as a way to better organize knowledge thereby knowledge identification and retrieval become easier, faster and efficient. In this paper, we propose MBD and its extension as a potential solution to overcome the issues involved in the typical technical documentation approaches.

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Section: High Value Document Generationmentioning

confidence: 99%

Model-based documentation

Farazi

Chapman

Raju

et al. 2017

Encyclopedia Semant. Comput. Robot. Int.

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“…For instance specific ontology definition of concepts like cost has already been proposed [41] and can be combined with environmental or sustainability ontology [42]. Exchanged documents and previous projects are the information repository areas that can be exploited to enrich the expected knowledge (on costs and on environmental evaluation) [43]. From these documents, key knowledge can be identified.…”

Section: Knowledge Management For Virtual Engineering Based Evaluatiomentioning

confidence: 99%

Eco Global Evaluation: Cross Benefits of Economic and Ecological Evaluation

Perry

Bernard

Bosch-Mauchand

et al. 2011

Glocalized Solutions for Sustainability in Manufacturing

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This paper highlights the complementarities of cost and environmental evaluation in a sustainable approach. Starting with the needs and limits for whole product lifecycle evaluation, this paper begins with the modeling, data capture and performance indicator aspects. In a second step, the information issue, regarding the whole lifecycle of the product is addressed. In order to go further than the economical evaluations/assessment, the value concept (for a product or a service) is discussed. Value could combine functional requirements, cost objectives and environmental impact. Finally, knowledge issues which address the complexity of integrating multi-disciplinary expertise to the whole lifecycle of a product are discussing.

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“…Jiao and Tseng [125] and Chen and Tseng [126] defined co-construction methods from customer and manufacturer perspectives. Similar techniques have been developed for design systems [127] and information management [128]. Many engineering tasks are underspecified and allow for multiple solutions that are useful as negotiating positions.…”

Section: Related Cirp Efforts and Initiativesmentioning

confidence: 99%

A Scientific Foundation of Collaborative Engineering

et al. 2007

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Collaborative engineering is the practical application of collaboration sciences to the engineering domain. In today's highly connected technology-driven economy, the production industry must rely on the best practices of collaborative engineering to stay competitive when designing, manufacturing and operating complex machines, processes, and systems on a global scale. Despite its importance, collaborative engineering is currently more of a practiced art than a scientific discipline. A better understanding of how engineers should collaborate with all stakeholders to accomplish complex tasks that fulfill our increasing social responsibilities is a grand challenge. However, because we currently lack well-defined sciences of human collaboration, we must first establish a scientific foundation of collaborative engineering to develop this emerging field into a rigorous discipline. This paper reports on the CIRP community's collective efforts to establish such a scientific foundation according to the "Observation Hypothesis Theory" development pathway. Our objective is to spearhead the rigorous development of this new human-centered engineering discipline, so that useful knowledge can be generated to educate students and practical guidelines can be developed to enable engineers to become more productive collaboration leaders in the new global production industry.

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Customised high-value document generation

Cited by 10 publications

References 9 publications

Model-based documentation

Model-based documentation

Eco Global Evaluation: Cross Benefits of Economic and Ecological Evaluation

A Scientific Foundation of Collaborative Engineering

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