Computer implemented method, system, computer program and data carrier for generating a performance ranking dataset

Abstract

The present invention relates to a computer-implemented method of generating a ranking dataset (40), a data processing system (1) comprising means for carrying out a method according to the present invention, a computer program comprising instructions which, when the program is executed by a computer, cause the computer to carry out a method according to the present invention, and a computer-readable data carrier having stored thereon the computer program. The ranking dataset (40) contains at least one performance value representing a performance of a functional entity (6) for ranking performance of the functional entity (6) in comparison with at least one further functional entity (6). A method according the present invention comprises the steps of retrieving at least one reported performance indicator from a reporting source (51, 52, 53) containing essentially uniformly reported data on the performance of the functional entity (6), identifying at least one auxiliary performance indicator from an auxiliary source of information (21, 22, 23, 24) providing essentially randomly occurring information regarding the functional entity (6), combining the at least one reported performanceindicator with the at least one auxiliary performance indicator to generate a meta performance variable, and deriving the at least one performance value from the meta performance variable.

Description

[0001] The present invention relates to a computer-implemented method for generating a ranking data set according to claim 1, and in particular to a method for ranking functional entities according to their performance. Furthermore, the present invention relates to a data processing system according to claim 13. Furthermore, the invention relates to a computer program product according to claim 14. Finally, the invention relates to a computer-readable data carrier according to claim 15. Background technique [0002] A functional entity can be represented by any kind of technical process that generates a certain output or can include any kind of technical process that generates a certain output. The functional entity may be a certain type of facility, such as a wind turbine, a solar power plant, an oil refinery, or a combination of such facilities, for example as a wind farm, or an asset of a company that operates those facilities to generate a certain output. The output may be ...

AI Technical Summary

Problems solved by technology

[0012] It was further concluded that the spreadsheet model had the disadvantages of being error-prone to the analyst, individual to the analyst and difficult to update by others without errors, involving macro programming that could be difficult to check, demonstration validation time-consuming and Less refined, while ensemble models were found to be difficult to use and understand, lacking control and flexibility, and lacking transparency due to hidden assumptions and calculation methods

[0013] Furthermore, although not specifically the subject of this paper, a clear symptom of the aforementioned shortcomings of QRA software tools according to the state of the art is that maintainability analysis, structural response analysis, evacuation models and human factors analysis were not included in the survey in the first place

Therefore, the main disadvantage of computer-implemented methods for evaluating the performance of functional entities is that these methods exclude many possible factors in QRA for the sake of operability and reducing model complexity

However, such exclusion sacrifices the adaptability and comprehensiveness of temporal, operational and structural changes of functional entities and thus calls into question the validity of known methods

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