The role of knowledge management in product lifecycle

Colombo, Giorgio; Pugliese, Dante

doi:10.1007/1-4020-4617-0_27

Cited by 6 publications

(1 citation statement)

References 16 publications

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“…Product Life Management (PLM) systems provide extended facilities for the handling of detailed product information, ranging from design to production stage [5] . The PDM/PLM systems available support information exchange between developers, especially in the later phases of the engineering lifecycle which are characterized by more deterministic and well-known processes.…”

Section: Design Knowledge Management In Product Lifecyclementioning

confidence: 99%

Survey of User Needs for Design Knowledge Management for Product Life Cycle

Zhang

Song

2013

AMM

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It is important to develop an application to manage knowledge for reusing as efficiently as possible. Knowledge management in advanced manufacturing industries is a complex process. In this paper, user needs for design knowledge management are gathered from interviews with users and during brainstorming sessions. The main requirements for design knowledge management are such as: design knowledge normalizing, design case normalizing, knowledge tracing, generating know-how knowledge, learning failure case knowledge, and design knowledge management in product lifecycle, etc. Knowledge application scenarios for a new paving machine design are studied which would enable software function development.

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Section: Design Knowledge Management In Product Lifecyclementioning

confidence: 99%

Survey of User Needs for Design Knowledge Management for Product Life Cycle

Zhang

Song

2013

AMM

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Developing DA Applications in SMEs Industrial Context

Colombo

Pugliese

Rizzi

The International Federation for Information Processing

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Automation applications within Small Medium Enterprises (SMEs) industrial context. It focuses the attention on some characteristics of the design process in SME context, and highlights issues of DA in relation to the characteristics previously evidenced. On this basis, it has been defined a methodology, named MEDEA (Methodology per Design Automation), to develop DA applications; it proposes a step by step roadmap and suggests methods and tools finalized to developers more skilled on products and design process than on IT technologies. Two industrial applications realized to evaluate the methodology are then presented. They are based on two different approaches: the first suitable to represent product structure and derived from Object Oriented programming and the second based on design process representation.

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An Anthology of Theories and Models of Design

Chakrabarti¹,

Blessing²

2014

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The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. While the advice and information in this book are believed to be true and accurate at the date of publication, neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors or omissions that may be made. The publisher makes no warranty, express or implied, with respect to the material contained herein.

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The role of knowledge management in product lifecycle

Cited by 6 publications

References 16 publications

Survey of User Needs for Design Knowledge Management for Product Life Cycle

Survey of User Needs for Design Knowledge Management for Product Life Cycle

Developing DA Applications in SMEs Industrial Context

An Anthology of Theories and Models of Design

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