Assessing R&D approach methodology and technological trends in fleet management
Sadovskiy, Grigory (2019)
Diplomityö
Sadovskiy, Grigory
2019
School of Engineering Science, Tuotantotalous
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe2019112644283
https://urn.fi/URN:NBN:fi-fe2019112644283
Tiivistelmä
The cost-effective functioning of automotive industry enterprises is possible due to the strategic planning of R&D, considering the potential of innovation and commercialization of the created technologies in the entrepreneurial sector of the economy. In this thesis, the approaches for strategic planning of R&D refereeing to usage of patent analysis are discussed as a tool for technology forecasts and the investigation of patent metrics. In this project, Fleet Management Systems (FMS) and various dispatching technologies are considered as potential technological solutions to improve flexibility and to monitor development trends in these technology areas. The methodology consists of a decision support system that ranks specific criteria while managing various kinds of resources in enterprises based on multiple expert evaluations. The implementation of the analytic hierarchy process (AHP) and fuzzy logic can be used to include additional decision variables into the patent retrieval and selection modes. Based on the patent activity of the retrieved patent data, we can predict emerging technologies in the various stages of their lifecycles.
Additionally, proposed technical and IP applicants’ analysis for determining current technological trends. Evidence from leads in the development of FMS demonstrates the richness of the methodology for analyzing patent data, respectively. Data-based technologies inventions were examined to establish directions of vehicle fleet using operational research modeling techniques. The thesis describes the methods of modern theory to improve the performance of the fleet managers in conjunction with innovative concepts of fleet management and facilitates the patent retrieval process-related.
Additionally, proposed technical and IP applicants’ analysis for determining current technological trends. Evidence from leads in the development of FMS demonstrates the richness of the methodology for analyzing patent data, respectively. Data-based technologies inventions were examined to establish directions of vehicle fleet using operational research modeling techniques. The thesis describes the methods of modern theory to improve the performance of the fleet managers in conjunction with innovative concepts of fleet management and facilitates the patent retrieval process-related.