Developing an integrated framework for feature-based early manufacturing cost estimation

1997 ◽  
Vol 13 (9) ◽  
pp. 618-629 ◽  
Author(s):  
C. Ou-Yang ◽  
T. S. Lin
Author(s):  
A. R. Rao ◽  
A. J. Keane ◽  
J. P. Scanlan

Design optimization algorithms have traditionally focused on lowering weight and improving structural performance. Although cost is a vital factor in every emerging design, existing tools lack key features and capabilities in optimizing designs for minimum product cost at acceptable performance levels. This paper presents a novel methodology for developing a decision support tool for designers based on manufacturing cost. The approach focuses on exploiting the advantages offered by combining parametric CAD, Finite element analysis, feature based cost estimation and optimization techniques within a single automated system. This methodology is then applied in optimizing the geometry for minimum manufacturing cost of an engine mounting link from a Rolls-Royce civil aircraft engine.


2011 ◽  
Vol 121-126 ◽  
pp. 3612-3616
Author(s):  
Wen Quan Huang ◽  
Kai Shi Li ◽  
Hai Jun Liu

This paper adopts the method labor time standard, in the development environment of VC++, using Access database storage costs data, and the cost results output into Excel, developed mechanical product turning processing manufacturing cost estimation system. Using this system can realize turning processing cost estimation and feedback the cost information of mechanical product turning processing, make a design personnel to understand the cost information, to improve design, reduce the cost, improve the market competitiveness of products


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Fentahun Moges Kasie ◽  
Glen Bright

Purpose This paper aims to propose an intelligent system that serves as a cost estimator when new part orders are received from customers. Design/methodology/approach The methodologies applied in this study were case-based reasoning (CBR), analytic hierarchy process, rule-based reasoning and fuzzy set theory for case retrieval. The retrieved cases were revised using parametric and feature-based cost estimation techniques. Cases were represented using an object-oriented (OO) approach to characterize them in n-dimensional Euclidean vector space. Findings The proposed cost estimator retrieves historical cases that have the most similar cost estimates to the current new orders. Further, it revises the retrieved cost estimates based on attribute differences between new and retrieved cases using parametric and feature-based cost estimation techniques. Research limitations/implications The proposed system was illustrated using a numerical example by considering different lathe machine operations in a computer-based laboratory environment; however, its applicability was not validated in industrial situations. Originality/value Different intelligent methods were proposed in the past; however, the combination of fuzzy CBR, parametric and feature-oriented methods was not addressed in product cost estimation problems.


Procedia CIRP ◽  
2018 ◽  
Vol 70 ◽  
pp. 59-65 ◽  
Author(s):  
Mehdi Tlija ◽  
Montasser Billah Letaief ◽  
Borhen Louhichi

2020 ◽  
Vol 33 (12) ◽  
pp. 1208-1226
Author(s):  
Montasser Billah Letaief ◽  
Mehdi Tlija ◽  
Borhen Louhichi

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