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Hypotheses Analysis as a Development of the System Operator Method Used in TRIZ

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Systematic Innovation Partnerships with Artificial Intelligence and Information Technology (TFC 2022)

Part of the book series: IFIP Advances in Information and Communication Technology ((IFIPAICT,volume 655))

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Abstract

The purpose of this work was to formulate a novel method of problem definition and to apply this method as an extended version of the System Operator. In TRIZ, System Operator is used to describing context of the problem in time and space, which is of vital importance in many problem-solving approaches and forecasting applications. However, this known method concentrates on a single technical system and its alternatives and does not take into account other systems, that directly interact with each other. The proposed approach takes into consideration not only sub- and supersystems in the past and future but also the outcome of the problem and phenomena occurring in relation to the identified problem. The method is organized in a systematic way through a dedicated diagram and also utilizes a heuristic approach to identify and describe the context of a problem. The proposed method was applied to identify drivers and barriers to the development of vehicles and biogas distribution solutions. It was shown, that the proposed approach represents a significant and novel development of a System Operator that improves problem definition in the problem-solving approach.

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Acknowledgements

The presented research results were carried out as part of a research task “Forecasting development of sandwich panels in modular technical systems” financed by a pro-quality subsidy for the development of the research potential of the Faculty of Mechanical Engineering of the Wroclaw University of Science and Technology in 2022.

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Correspondence to Marek Mysior .

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Mysior, M., Koziołek, S. (2022). Hypotheses Analysis as a Development of the System Operator Method Used in TRIZ. In: Nowak, R., Chrząszcz, J., Brad, S. (eds) Systematic Innovation Partnerships with Artificial Intelligence and Information Technology. TFC 2022. IFIP Advances in Information and Communication Technology, vol 655. Springer, Cham. https://doi.org/10.1007/978-3-031-17288-5_14

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  • DOI: https://doi.org/10.1007/978-3-031-17288-5_14

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