Prediction of total manufacturing costs for stamping tool on the basis of CAD-model of finished product
Created by W.Langdon from
gp-bibliography.bib Revision:1.8110
- @Article{Ficko:2005:JMPT,
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author = "M. Ficko and I. Drstvensek and M. Brezocnik and
J. Balic and B. Vaupotic",
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title = "Prediction of total manufacturing costs for stamping
tool on the basis of {CAD}-model of finished product",
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journal = "Journal of Materials Processing Technology",
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year = "2005",
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volume = "164-165",
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pages = "1327--1335",
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month = "15 " # may,
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keywords = "genetic algorithms, genetic programming, Prediction of
costs, Tool-making, Stamping, CAD-model, Intelligent
systems",
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ISSN = "0924-0136",
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owner = "wlangdon",
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DOI = "doi:10.1016/j.jmatprotec.2005.02.013",
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abstract = "One of the orientations of the tool-making industry is
towards shortening the time from enquiry to the supply
of tools. The tool-making shops must prepare within the
shortest possible time an offer for the manufacturer of
the tool based on the enquiry in the form of the
CAD-model of the final product. For preparation of a
proper offer, the values of certain technological
features occurring in the manufacture of the tool are
needed. Most frequently the tool manufacturer is
interested in total cost for manufacture of the tool.
Because of lack of time for making a detailed analysis
the total costs of tool manufacture are predicted by
the expert on the basis of the experience gathered
during several years of work in this area. In our work,
we conceived an intelligent system for predicting of
total cost of the tool manufacture. We limited
ourselves to tools for manufacture of sheet metal
products by stamping; the system is based on the
concept of case-based reasoning. On the basis of target
and source cases, the system prepares the prediction of
costs. The target case is the CAD-model in whose costs
we are interested, whereas the source cases are the
CAD-model of products, for which the tools had already
been made, and the relevant total costs are known. The
system first abstracts from CAD-models the geometrical
features, and then it calculates the similarities
between the source cases and target case. Then the most
similar cases are used for preparation of prediction by
genetic programming method. The genetic programming
method provides the model connecting the individual
geometrical features with total costs searched for. In
the experimental work, we made a system adapted for
predicting of tool costs used for tool manufacture on
the basis of a theoretic model. The results show that
the quality of predictions made by the intelligent
system is comparable to the quality assured by the
experienced expert.",
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notes = "AMPT/AMME05 Part 2",
- }
Genetic Programming entries for
Mirko Ficko
Igor Drstvensek
Miran Brezocnik
Joze Balic
Bostjan Vaupotic
Citations