A rule-based expert system approach to process selection for cast components

Er, Ahmet; Dias, Raquel

doi:10.1016/s0950-7051(00)00075-7

Cited by 35 publications

(22 citation statements)

References 8 publications

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“…For years, decision support systems based on declarative knowledge representation have successfully been used in the areas of designing production processes and estimating the cost of manufacture. In the paper [10], a rule-based expert system prototype is proposed for the selection of casting processes. The selection of the process parameters and the component features is represented by means of rules.…”

Section: Cost Estimation Methods-a Reviewmentioning

confidence: 99%

“…A similar problem occurs in determining the economic aspects of the selection of the technology of castings manufacturing. Casting design involves a wide scope of expertise, which aims at the economical design of castings that achieve the desired functional performance [10,11,27,28]. Some of the main critical attributes within casting design and, hence, the cost estimation, include the following:…”

Section: Problem Formulationmentioning

confidence: 99%

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Knowledge-based methods for cost estimation of metal casts

Macioł

2016

Int J Adv Manuf Technol

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The aim of the research presented in this paper was to verify the hypothesis that the problem of estimating the variable costs of metal casts can be solved by using knowledge-based systems. The estimation of variable costs determines the adequate pricing of products, which is a crucial marketing problem in enterprises. The problem of estimating the direct costs is especially important in companies whose participation in the market is defined as versatile manufacturing. This problem was the target of many studies presented in this paper. The assumptions that the direct costs of a metal cast are dependent on the physical features of the cast and the most effective method of cost estimation is an intuitive qualitative technique based on a rule-based system were considered. The nature of the relationships between the casts' features and the direct costs of production could be effectively formed by experts as reasoning rules. In this paper, the results of experiments conducted on the basis of the example of the production program of a foundry that manufactures water-system fittings is presented. Three methods of knowledge-definition and reasoning techniques were examined: the classical method of crisp reasoning, fuzzy reasoning with the Mamdani's method, and fuzzy reasoning with the Takagi-Sugeno model. Proper experiments were conducted. The results of the experiments confirmed the hypothesis, which allows the assessment of different reasoning methods.A. Maciol

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Section: Cost Estimation Methods-a Reviewmentioning

confidence: 99%

Section: Problem Formulationmentioning

confidence: 99%

Knowledge-based methods for cost estimation of metal casts

Macioł

2016

Int J Adv Manuf Technol

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“…Case-Based Reasoning (Haque et al, 2000) or Rule-Based approaches (Er & Dias, 2000), (Mitchell et al, 1990) are frequently used to construct Expert Systems. In general, Expert Systems supply critical knowledge towards the user and/or offer explicit advice, but frequently the user still has to process, analyse and decide based upon the offered knowledge source(s) or knowledge inferences.…”

Section: Theoretical Contextmentioning

confidence: 99%

A multidisciplinary implementation methodology for knowledge based engineering: KNOMAD

Curran

Verhagen

Tooren

et al. 2010

Expert Systems with Applications

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“…They mimic the decision-making abilities of a human expert, and they are designed to solve complex problems by reasoning. Expert system applications include, among others, medicine [29,53,60], diagnosis and control of power systems [26,27], evaluation of journal grades [61], information systems investment evaluation [19], transport management [31,51], industry [14,38] and sport [12,15,32,33,39].…”

Section: Introductionmentioning

confidence: 99%

A web-oriented expert system for planning hurdles race training programmes

Przednówek

Wiktorowicz

Krzeszowski

et al. 2018

Neural Comput & Applic

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This paper presents a web-oriented expert system, named iHurdling, to predict results and generate training loads for 110 and 400 m hurdles races. The database contains 40 annual training programmes for the 110 m hurdles and 48 programmes for the 400 m hurdles. The predictive models include linear regressions in the form of ordinary least squares, ridge, LASSO, elastic net and nonlinear models in the form of a radial basis function neural network and fuzzy rule-based system. The leave-one-out cross-validation method is used to compare, and choose the best model. It shows that the proposed fuzzy-based model has the lowest validation error. The developed web application can support a coach in planning training programmes for hurdles races. It allows the athlete's results to be predicted and can generate training loads for an athlete, selected from database. The application can be run on a computer or a mobile device. The system was implemented using the R programming language with the Shiny framework and additional packages. The limitations of the presented approach are related to the lack of consideration of an athlete's physiological and psychological parameters, but the generated training programs might be used as a suggestion for the coach.

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A rule-based expert system approach to process selection for cast components

Cited by 35 publications

References 8 publications

Knowledge-based methods for cost estimation of metal casts

Knowledge-based methods for cost estimation of metal casts

A multidisciplinary implementation methodology for knowledge based engineering: KNOMAD

A web-oriented expert system for planning hurdles race training programmes

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