Abstract
In increasingly complex environments, TRIZ offers a versatile set of tools and processes for problem solving. However, when it comes to defining which TRIZ tool(s) should be used in a given problem situation, many TRIZ users appear to be uncertain and seem to follow personal preferences rather than a structured process. The Adaptive Problem Sensing and Solving (APSS) Model provides a general process that is applied for TRIZ tool selection here. Based on the Cynefin framework, which allows sensing the characteristics of a problem situation, the authors suggest identifying which of the domains are actually available and provide strategies on how to extend the number of available domains. The user can set up the problem-solving process such that the solutions will more likely satisfy the respective expectations on the solution.
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Czinki, A., Hentschel, C. (2019). The Adaptive Problem Sensing and Solving (APSS) Model and Its Use for Efficient TRIZ Tool Selection. In: Chechurin, L., Collan, M. (eds) Advances in Systematic Creativity. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-319-78075-7_5
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DOI: https://doi.org/10.1007/978-3-319-78075-7_5
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