Wos İndeksli Açık & Kapalı Erişimli Yayınlar
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Item A new multidimensional process type FMEA approach: Defense and aerospace industry application(2022) Uslu, Tugce; Can, Gulin Feryal; Delice, Elif KilicPurpose: Failure Modes and Effects Analysis (FMEA), one of the most used methods in the literature, is a powerful risk assessment tool. However, it has many weaknesses that need to be improved. In this study, in order to increase the efficiency of using FMEA; a new multidimensional process type FMEA (MDPT-FMEA) approach is proposed. Theory and Methods: The MDPT-FMEA approach consists of three stages. At the first stage, Entropy, Preference Selection Index (PSI) and Criteria Importance through Inter-criteria Correlation (CRITIC) methods were used in the weighting of the risk criteria (RC). The different criteria weights obtained from these three different weighting methods were combined using the geometric mean operator and the integrated (final) weights were calculated. In the second stage, Evaluation based on Distance from Average Solution (EDAS), Combinative Distance-based Assessment (CODAS), Complex Proportional Assessment (COPRAS) to prioritize failure modes (FMs) were used. In the third stage, different FM priorities obtained from these three different ranking methods were combined using the Technique of Precise Order (TPOP) method. Results: The proposed MDPT-FMEA approach has been applied in a company operating in the defense and aerospace industry to evaluate the process-based FMs that may arise. In this study, different perspectives of different weighting and ranking methods are reflected in final criteria weights and final FM rankings. Conclusion: For the first time, different weighting and different ranking methods are combined in FMEA. As a result of the Spearman Correlation Coefficient calculation, the validity of both of the final criteria weights obtained and the final FM rankings were discussed.Item Task and user-based Entropy-Rank Sum-TPOP integration proposal for usability evaluation of web applications(2022) Yorulmaz, Muhammet; Bas, Gilin Feryal CanThe present study aims to determine the importance weights of the subjective and objective usability cri-teria based on task and user by considering these criteria simultaneously in the usability analysis of web applications. In this context, by proposing a Multi-criteria Decision Making approach including Entropy -Rank Sum (RS) - Technique of Precise Order Preference (TPOP) integration, the Multi-Dimensional Usability Analysis (MDUA) approach was advanced. The proposed analysis approach was applied on MOODLE software selected as a sample web application. The objective criteria in the sample application were measured using the Morae V3 program as a result of users performing their predefined tasks, and the subjective criteria were evaluated by determining the importance orders of the criteria for each user that affect the users' satisfaction. Subsequently, objective criteria weights were calculated by the Entropy method on task basis, and subjective criteria weights were computed by the RS method on user basis. In the last stage, the weights of the objective criteria and the weights of the subjective criteria that change according to the user are combined separately using the TPOP method. Thus, the most important subjec-tive and objective criteria for improving the usability of MOODLE LMS were determined. (c) 2022 The Authors. Published by Elsevier B.V. on behalf of King Saud University. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).