Browsing by Author "De Guio, R."

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    Interpretation of a General Model for Inventive Problems, the Generalized System of Contradictions
    (Cranfield University Press, 2009-03-31) Dubois, S.; Rasovska, I.; De Guio, R.; Rajkumar Roy; Essam Shehab
    Design of technical systems implies either optimisation or inventive problems resolution. Resolution tools and methods exist for each kind of problems. Each family of resolution tools uses specific models for problem statement. A generic model that fits both kinds of problems has been defined, the Generalized System of Contradictions model. In border of this model a problem can be stated when no solution can be found by optimisation techniques. In this paper the Generalized System of Contradictions is linked to Design of Experiments model. Moreover a step towards problem resolution is proposed by the interpretation of the generic model. This interpretation is based on the definition of exhaustive concepts, it means of concepts enabling to look for solution outside of the initially defined domain. This process of problem statement out of the result of DoE and of interpretation of the built model is detailed and then illustrated through an example.
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    Long-Run Forecasting of Emerging Technologies with Logistic Models and Growth of Knowledge
    (Cranfield University Press, 2009-03-31) Kucharavy, D.; Schenk, E.; De Guio, R.; Rajkumar Roy; Essam Shehab
    In this paper applications of logistic S-curve and component logistics are considered in a framework of longterm forecasting of emerging technologies. Several questions and issues are discussed in connection with the presented ways of studying the transition from invention to innovation and further evolution of technologies. First, the features of a simple logistic model are presented and diverse types of competition are discussed. Second, a component logistic model is presented. Third, a hypothesis about the usability of a knowledge growth description and simulation for reliable long-term forecasting is proposed. Some interim empirical results for applying networks of contradictions are given.