Choice of Cost-Estimation Functions Based on Statistical Quality Criteria and Technical Coherence

Farineau, T.; Rabensalo, B.; Castelain, J. M.

doi:10.1007/s001700200058

Cited by 5 publications

(3 citation statements)

References 7 publications

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“…The value of r 2 ranges from 0 to 1, with 0 indicating no correlation and 1 indicating a perfect correlation. Farineau et al [71] proposed an extensive selection method based on statistical regression quality and technical coherence that are weighted and then combined.…”

Section: ) Intuitive Techniquesmentioning

confidence: 99%

Uncertainty in Through-Life Costing–-Review and Perspectives

Goh

Newnes

Mileham

et al. 2010

IEEE Trans. Eng. Manage.

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Section: ) Intuitive Techniquesmentioning

confidence: 99%

Uncertainty in Through-Life Costing–-Review and Perspectives

Goh

Newnes

Mileham

et al. 2010

IEEE Trans. Eng. Manage.

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“…Cost estimation is a methodology used for predicting /forecasting /estimating the cost of a work activity or output [1]. Many researchers try to classify the estimation methods in different ways [2,3,4,5,6]. As a conclusion, cost estimating methods can be classified into three main parts;…”

Section: Introductionmentioning

confidence: 99%

New Approach in Cost Structuring of High Speed Hard Turning

Hazza

Adesta

2011

AMR

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Cost structuring of new technology is a critical mission which needs to be developed systematically to get accurate cost estimation. In this research a new approach was proposed and developed for cost structuring a new process. Cost modeling roadmap was proposed to guide the development of genetic cost model by integrating different cost estimating methods and supporting the optimum solution by using statistical techniques in modeling the cost in high speed hard turning, then by building logical relationships between the different effective variables through three levels of cost drivers; main drivers, process and technical drivers and final drivers. Finally a matlab model was developed for simulating the final cost drivers to study the effect of different parameters on the cost drivers.

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“…With the lack of information in early design stage, big difficulty of cost estimation Cost estimation in early design stage with few estimating samples(less than 5 samples) is always the hot research topic as a result of the reliability of estimation result depends heavily on previous samples. The most effective methods that recognized include Parametric Estimating [2] , Neural Network Method [3] and Regression Analysis Algorithm [4] Network. The drawback of these methods is that they haven't considered the contribution of different samples to cost estimation result and the request for quantity of samples reduces the reliability of estimation result.…”

Section: Introductionmentioning

confidence: 99%

Cost Estimation Model for Few Samples and Information in Product Early Design Stage

Jiang

2009

MSF

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Product cost estimation in early design stage puzzles researchers for long-time. A new product cost estimation model is proposed, which is applicable for few estimating samples and product information in early design stage. Similarity between the estimating product and the samples are calculated by model of Euclidean distance. Both of utilization ratio of estimating samples and reliability of estimation result are improved based on samples’ sequencing for effect of product cost. The cost estimation model is applied in design of claw of brake disc. The estimation result indicates that the presented model can be used for condition of few estimating samples and product information in early design phase.

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Choice of Cost-Estimation Functions Based on Statistical Quality Criteria and Technical Coherence

Cited by 5 publications

References 7 publications

Uncertainty in Through-Life Costing–-Review and Perspectives

Uncertainty in Through-Life Costing–-Review and Perspectives

New Approach in Cost Structuring of High Speed Hard Turning

Cost Estimation Model for Few Samples and Information in Product Early Design Stage

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