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Design and improvement of product using intelligent function model based cost estimating

Authors
Lee, Hong ChulLee, Jae MyungSeo, Ji Han
Issue Date
4월-2011
Publisher
PERGAMON-ELSEVIER SCIENCE LTD
Keywords
Intelligent function model based cost estimating; Cost improvement; Cost engineering
Citation
EXPERT SYSTEMS WITH APPLICATIONS, v.38, no.4, pp.3131 - 3141
Indexed
SCIE
SCOPUS
Journal Title
EXPERT SYSTEMS WITH APPLICATIONS
Volume
38
Number
4
Start Page
3131
End Page
3141
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/112737
DOI
10.1016/j.eswa.2010.08.105
ISSN
0957-4174
Abstract
Design is one of the most important activities in new product development. While the concepts of design for manufacturability and concurrent engineering have made significant advances in integrating the design function with other areas in the firm, there are still major gaps in timely and accurate costing information available to designers. Inappropriate design could result in high redesign cost and delay in product realization. The generation of design and improvement is a time-consuming and mentally exhaustion process. It involves combining design features to generate as much potential design as possible. As not all features combinations are feasible, decision-makers have to narrow down the potential solutions and subsequently select appropriate design for further development. This research suggests an intelligent function model based cost estimating for design and improvement of product. It is composed of three steps aiming at the low cost design of the product. The first step is setting up the optimal cost which is the engineering target based on the function. The second step is estimating the current functional cost according to the unit through the function analysis for basic model and quantitative. The second step estimates the current functional cost according to the unit through the functional analysis of basic model and quantitative. In the third step, the design of a unit is reviewed according to the priority of the difference between the optimal cost and the functional cost. Arranging the unit design parameter, the best design option is set-up according to the level. Also, it was actually proved through the application of "S" company. Crown Copyright (C) 2010 Published by Elsevier Ltd. All rights reserved.
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공과대학 (산업경영공학부)
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