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International Journal of Mathematical, Engineering and Management Sciences

ISSN: 2455-7749


A Semi-Automatic Methodology for Making FMEA Surveys

A Semi-Automatic Methodology for Making FMEA Surveys

Christian Spreafico
Department of Management Information and Production Engineering, University of Bergamo, Viale Marconi 5, 24044 Dalmine (Bg), Italy.

Davide Russo
Department of Management Information and Production Engineering, University of Bergamo, Viale Marconi 5, 24044 Dalmine (Bg), Italy.

DOI https://doi.org/10.33889/IJMEMS.2021.6.1.007

Received on December 14, 2019
  ;
Accepted on March 26, 2020

Abstract

This paper proposes a semi-automatic methodology to assist the user in creating surveys about FMEA and Risk Analysis, based on a customized use of the tools for semantic analysis and in particular a home-developed syntactic parser called Kompat Cognitive. The core of this work has been the analysis of the specific FMEA-related jargon and its common modalities of description within scientific papers and patents in order to systematize the linguistic analysis of the reference documents within the proposed step-divided procedure. The main goals of the methodology are to assist not skilled in the art users about FMEA during the analysis of generic and specific features, by considering large moles of contributions in restricted amounts of time. The methodology has then been tested on the same pool of 286 documents, divided between 177 and 109 patents, manually analyzed in our previous survey, in order to replicate part of its classifications through the proposed new modality. In this way we evaluated the abilities of the methodology both to automatically suggesting the main features of interest and to classify the documents according to them.

Keywords- FMEA, Risk analysis, Patents, Parsing, Semantic.

Citation

Spreafico, C., & Russo, D. (2021). A Semi-Automatic Methodology for Making FMEA Surveys. International Journal of Mathematical, Engineering and Management Sciences, 6(1), 79-102. https://doi.org/10.33889/IJMEMS.2021.6.1.007.

Conflict of Interest

The authors confirm that there is no conflict of interest to declare for this publication.

Acknowledgements

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors. The authors sincerely appreciate the editor and reviewers for their time and valuable comments.

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