Implementing Smart Virtual Product Development (SVPD) to Support Product Manufacturing

被引：1

作者：

Ahmed, Muhammad Bilal ^{[1
]}

Sanin, Cesar ^{[1
]}

Szczerbicki, Edward ^{[2
]}

机构：

[1] Univ Newcastle, Callaghan, NSW, Australia

[2] Gdansk Univ Technol, Gdansk, Poland

来源：

INTELLIGENT INFORMATION AND DATABASE SYSTEMS, ACIIDS 2019, PT I | 2019年 / 11431卷

关键词：

Smart virtual product development; Product development; Manufacturing capability analysis and process planning; Set of experience knowledge structure; Decisional DNA; DECISIONAL DNA; KNOWLEDGE; DESIGN; SET;

D O I：

10.1007/978-3-030-14799-0_40

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper illustrates the concept of providing the manufacturing knowledge during early stages of product life cycle to experts working on product development. The aim of this research is to enable a more collaborative product development environment by using Smart Virtual Product Development (SVPD) system, which is powered by Set of Experience Knowledge Structure (SOEKS) and Decisional DNA (DDNA). It enhances the industrial product development process by storing, using and sharing previous manufacturing experience and knowledge. This knowledge is stored in form of formal decisional events after being collected from the set of similar products having some common functions and features. The proposed system uses a collective, team-like knowledge developed by product designers, manufactures, and metrologists. Implementing this system in the process of product development enables the small and medium enterprises (SMEs) to take proper decisions at appropriate time by reducing mistakes at an early stages of product development.

引用

页码：464 / 475

页数：12

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