Analysis of Design through Parametric Cost Estimation Techniques

1987 ◽  
Vol 7 (2) ◽  
pp. 5-13 ◽  
Author(s):  
H. E. Apgar ◽  
J. M. Daschbach
2014 ◽  
Vol 43 ◽  
pp. 195-203 ◽  
Author(s):  
Joseph Ahn ◽  
Sae-Hyun Ji ◽  
Moonseo Park ◽  
Hyun-Soo Lee ◽  
Sooyoung Kim ◽  
...  

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.


Author(s):  
Swadesh Kumar Samanta ◽  
John Woods ◽  
Mohammed Ghanbari

The parametric cost estimation approach has proved to be an efficient method for analyzing complex systems such as spacecraft, missiles, ships, buildings, etc where cost varies according to a number of parameters. The cost to provision a telecom network also depends on a number of parameters; but little research effort has been applied to estimate cost using this approach. In estimating the cost of a telecom network, most published research has considered two parameters; distance and bandwidth of a link and ignored the effects of other parameters. We have modelled the cost based on distance, bandwidth, geographical terrain and technology simultaneously using a parametric cost estimation methodology applied to real data obtained from the Indian Telecom Company, BSNL. Using the model, we show how a cost optimized network can be designed given the real world constraints. The applicability of our model to determine revenue sharing mechanism for an international call is also demonstrated. [Article copies are available for purchase from InfoSci-on-Demand.com]


2020 ◽  
Vol 166 ◽  
pp. 358-368 ◽  
Author(s):  
Paul D. Friz ◽  
Serhat Hosder ◽  
Benjamin B. Leser ◽  
Benjamin C. Towle

2013 ◽  
Vol 437 ◽  
pp. 981-984
Author(s):  
Heung Jae Cho ◽  
Jae Il Park

In order to be cost competitive in the consumer electronics industry, it is needed to estimate product costs earlier in the design phase. In this study, we reviewed quality and quantity cost estimation techniques to develop a cost estimation system. The qualitative cost estimation technique is used to store expert's knowledge in the form of rules or a decision tree, and quantitative cost estimation techniques is used to extract a similar cost basis based on historical cost data of products. Also, we developed a cost comparison system using these two methods.


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