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EN
Purpose: In the present communcation we present a FMEA derived survey questionnaire, designed to be nalysed by means of annotated paraconsistent logic techniques, which allows for both the detection of contradictions and inconsistencies on the part of the respondents, as well as for the continuous improvement of the adequacy of the instrument in itself, and its application to truck manufacture. Design/methodology/approach: The methodology used in this study is based in the partial adoption of elements and pre-requisites needed to apply the FMEA tool and the concepts of the Paraconsistent Logic, aiming to develop a method for risk of failure criticality evaluation to new products development. Findings: The main advantage of the novel method presented herein consists in the ability to integrate coherently the insights of many expert opinions, instead of relying on a single specialist to perform the FMEA, thus improving the accuracy and reliability of this kind of analysis. method proposed does not lead to future decision process but the future consequence of a today’s decision. The method here applied describes the results in an intelligible way and points that if the company decides to minimize the project risks doing all preventive actions, it will necessary to increase costs. That is, as more conservative is the strategic company approach bigger the resultant criticality indices from specialist’s evaluations more investment is need to mitigate the risks. Practical implications: As the method takes in account all specialists evaluations and strategic parameters directly related to the Company’s Strategic plan, it is considered a good project management tool concerning to the risk management process and decision making. the integration of different opinions and expertise areas, as well as multiple critical factors and failures modes analysis lead to more reliable statistics analysis and reduce the company dependency of only one specialist, during critical decision process moments. Originality/value: The risk evaluation method described in this work allows project managers to make decisions related to project risks in order to mitigate threatens, maximize competitiveness factors and better explore market opportunities.
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