Prediction of total manufacturing costs for stamping tool on the basis of CAD-model of finished product

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@Article{Ficko:2005:JMPT,

• author = "M. Ficko and I. Drstvensek and M. Brezocnik and J. Balic and B. Vaupotic",
• title = "Prediction of total manufacturing costs for stamping tool on the basis of {CAD}-model of finished product",
• journal = "Journal of Materials Processing Technology",
• year = "2005",
• volume = "164-165",
• pages = "1327--1335",
• month = "15 " # may,
• keywords = "genetic algorithms, genetic programming, Prediction of costs, Tool-making, Stamping, CAD-model, Intelligent systems",
• ISSN = "0924-0136",
• owner = "wlangdon",
• DOI = "doi:10.1016/j.jmatprotec.2005.02.013",
• 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.",
• notes = "AMPT/AMME05 Part 2",

}

Genetic Programming entries for Mirko Ficko Igor Drstvensek Miran Brezocnik Joze Balic Bostjan Vaupotic

Citations