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  • Design, management and evaluation of technological processes face many problems of different nature. Therefore various methods and approaches must be applied, including those that observe processes from the financial point of view, robust methods of process management, unconventional management techniques, or methods working with metrological aspects of management. An important aspect of this complex approach is also process modelling which enables to study and experiment with processes at minimum costs. Building a model often presents a problem of incorporating entry parameters that cannot be measured (qualitative factors), but affect the process under scrutiny significantly. To give an example, such factors may include the technology used in the process, the type of material worked with, the staff attending the process and so on. These factors cannot be inserted in the regression model that describes the process, however, their influence on the process output is often crucial. It is therefore convenient to include these factors among the influential factors, find various mathematical models and construct their graphs, and make a judgement as to whether the models found differ significantly or not. For instance, if models reflecting different technological procedures are mutually consistent, it does not matter that much which of the procedures will be used. In this paper, we illustrate, using simulated data, how models with qualitative factors can be constructed and compared.
  • Design, management and evaluation of technological processes face many problems of different nature. Therefore various methods and approaches must be applied, including those that observe processes from the financial point of view, robust methods of process management, unconventional management techniques, or methods working with metrological aspects of management. An important aspect of this complex approach is also process modelling which enables to study and experiment with processes at minimum costs. Building a model often presents a problem of incorporating entry parameters that cannot be measured (qualitative factors), but affect the process under scrutiny significantly. To give an example, such factors may include the technology used in the process, the type of material worked with, the staff attending the process and so on. These factors cannot be inserted in the regression model that describes the process, however, their influence on the process output is often crucial. It is therefore convenient to include these factors among the influential factors, find various mathematical models and construct their graphs, and make a judgement as to whether the models found differ significantly or not. For instance, if models reflecting different technological procedures are mutually consistent, it does not matter that much which of the procedures will be used. In this paper, we illustrate, using simulated data, how models with qualitative factors can be constructed and compared. (en)
Title
  • Modelling of Technological Processes with Qualitative Variables
  • Modelling of Technological Processes with Qualitative Variables (en)
skos:prefLabel
  • Modelling of Technological Processes with Qualitative Variables
  • Modelling of Technological Processes with Qualitative Variables (en)
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  • RIV/47813059:19520/14:#0002561!RIV15-MSM-19520___
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  • 29919
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  • RIV/47813059:19520/14:#0002561
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  • Design of experiments; regression function; nominal and continuous variables (en)
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  • [973AD4E4E2A3]
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  • Brno
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  • Brno
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  • Proceedings of the International Conference on Metallurgy and Material Engineering Metal 2014
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  • TOŠENOVSKÝ, Filip
  • TOŠENOVSKÝ, Josef
  • SMAJDOROVÁ, Tereza
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number of pages
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  • Tanger s.r.o.
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  • 978-80-87294-52-9
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  • 19520
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