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Achieving optimal product design by ...

Wong, Lee Ming.

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Achieving optimal product design by integrating design for production methodology and design automation.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Achieving optimal product design by integrating design for production methodology and design automation./
作者:	Wong, Lee Ming.
面頁冊數:	169 p.
附註:	Source: Masters Abstracts International, Volume: 42-01, page: 0310.
Contained By:	Masters Abstracts International42-01.
標題:	Engineering, Industrial. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MQ80105
ISBN:	0612801055

Achieving optimal product design by integrating design for production methodology and design automation.
Wong, Lee Ming.

Achieving optimal product design by integrating design for production methodology and design automation. - 169 p.

Source: Masters Abstracts International, Volume: 42-01, page: 0310.

Thesis (M.Sc.)--The University of Manitoba (Canada), 2003.

A promising approach is to achieve the optimal product design by integrating Design for Production (DFP) methodology and design automation. The proposed DFP methodology refers to methods that lead to the product design with minimum production costs while satisfying all the functional requirements. This approach qualitatively captures the relationships between product design and production and provides general guidelines on quantification of such relationships. In this work, design related production issues are identified and quantified using a systematic cost analysis method, the Operation-based Method. The Operation-based costing method categorizes eight cost elements for each operation of a manufacturing process. By establishing relationships between design variables and cost elements, one can then apply an appropriate optimization algorithm to drive the design change and obtain the optimal design with minimum production costs. Pro/Engineer was used as the parametric product design tool. An optimization algorithm, called the Adaptive Response Surface Method (ARSM), is then integrated to drive the design change and search for the optimal product design. The Pro/Engineer customization tool, Pro/Toolkit, is used to integrate the cost analysis model with the CAD model and to automate the whole product design process, greatly shortening the product development time.* (Abstract shortened by UMI.)

ISBN: 0612801055Subjects--Topical Terms:

626639
Engineering, Industrial.

Achieving optimal product design by integrating design for production methodology and design automation.
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520 $a A promising approach is to achieve the optimal product design by integrating Design for Production (DFP) methodology and design automation. The proposed DFP methodology refers to methods that lead to the product design with minimum production costs while satisfying all the functional requirements. This approach qualitatively captures the relationships between product design and production and provides general guidelines on quantification of such relationships. In this work, design related production issues are identified and quantified using a systematic cost analysis method, the Operation-based Method. The Operation-based costing method categorizes eight cost elements for each operation of a manufacturing process. By establishing relationships between design variables and cost elements, one can then apply an appropriate optimization algorithm to drive the design change and obtain the optimal design with minimum production costs. Pro/Engineer was used as the parametric product design tool. An optimization algorithm, called the Adaptive Response Surface Method (ARSM), is then integrated to drive the design change and search for the optimal product design. The Pro/Engineer customization tool, Pro/Toolkit, is used to integrate the cost analysis model with the CAD model and to automate the whole product design process, greatly shortening the product development time.* (Abstract shortened by UMI.)
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