Browsing by Author "Delice, Elif Kilic"

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Improving the rapid office strain assessment method with an integrated multi-criteria decision making approach
(2020) Delice, Elif Kilic; Can, Gulin Feryal; Kahya, Emin
Nowadays, work-related musculoskeletal disorders (WMDs) are gradually increasing. This not only reduces work efficiency but also negatively affects workers' health. For this reason, it is important to design the working environment based on ergonomic principles in order to prevent WMDs before they occur. In addition, before starting ergonomic design improvement activities in the enterprises, it is necessary to identify the departments with high strain levels and evaluate the design of the office components in these departments. In this study, an integrated multi-criteria decision making (MCDM) approach was proposed based on the Rapid Office Strain Assessment (ROSA) method to determine the strain level caused by office components and to identify the departments to be ergonomically improved according to these levels. In the proposed approach, the strain level related to office components was evaluated by ROSA method. To determine the importance weights of office components on strain levels, Step-by-Step Weight Assessment Ratio Analysis (SWARA) was used. Weighted Aggregated Sum Product Assessment (WASPAS) method was applied to order the departments according to the strain levels. The proposed approach was implemented in a company operating in the aviation industry. As a result, the most important office component that increases the strain level was determined as the chair, while the Manufacturing Engineering and R & D departments were determined as the units with the highest strain levels. Additionally, by performing sensitivity and comparative analysis, changes in the departments' rankings were evaluated.
A new approach for ergonomic risk assessment integrating KEMIRA, best-worst and MCDM methods
(2020) Delice, Elif Kilic; Can, Gulin Feryal
In this study, a new three-phase ergonomic risk assessment approach was proposed for manual lifting tasks to determine which worker has the highest ergonomic risk level considering two criteria sets as lifting-related criteria and human-related criteria. In the first phase, Modified Kemeny Median Indicator Ranks Accordance (KEMIRA-M) and a novel two-dimensional best-worst method (BWM) integration were proposed for weighting ergonomic risk criteria in two sets. In this way, weighting procedure of KEMIRA-M was advanced by the proposed two-dimensional BWM in a consistent manner and subjectivity in determining the best and the worst criteria in traditional BMW was prevented by using KEMIRA-M. Thus, the weaknesses of both methods have been developed. In the second phase, the rankings of workers were determined via utilizing multi-objective optimization on the basis of simple ratio analysis, multi-objective optimization by ratio analysis (MOORA) ratio, MOORA reference point and complex proportional assessment to see how worker rankings differ despite using the same advanced weighting approach based on KEMIRA-M and two-dimensional BWM integration. Finally, to aggregate these different ranking results, technique of precise order preference was applied. In this way, different viewpoints of each ranking approach can be reflected on a single worker's priority. The applicability of the proposed ergonomic risk assessment approach was demonstrated with a real application in tube manufacturing.
A new approach for ergonomic risk assessment integrating KEMIRA, best-worst and MCDM methods (vol 14, pg 313, 2020)
(2020) Delice, Elif Kilic; Can, Gulin Feryal
A new multidimensional process type FMEA approach: Defense and aerospace industry application
(2022) Uslu, Tugce; Can, Gulin Feryal; Delice, Elif Kilic
Purpose: 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.
A Stochastic Approach for Failure Mode and Effect Analysis
(2017) Delice, Elif Kilic; Can, Gulin Feryal
This study presents a novel approach combining Failure Mode and Effect Analysis (FMEA) and Multi-Attributive Border Approximation Area Comparison (MABAC) method based on a stochastic evaluation process to prioritize potential failure modes (FMs) in an assembly line. The aim of the proposed approach is to improve the performance of FMEA by eliminating its shortcomings addressed in the study. In this context, firstly the risk factor (RF) importance weights and the performance values of the FMs for the RFs are determined by generating random numbers having uniform distribution in a range of minimum and maximum value of a limited number of expert evaluations. In this wise, the number of experts are increased to improve effectiveness of the risk evaluation process. Diverse opinions of experts are also assessed more precisely. Secondly, the priorities of the FMs are identified by implementing MABAC method. MABAC is a practical and reliable tool which provides stability for solutions. Finally, a comparative analysis is implemented to confirm the effectiveness of Stochastic FMEA-MABAC approach.
A Task-Based Fuzzy Integrated MCDM Approach for Shopping Mall Selection Considering Universal Design Criteria
(2018) Can, Gulin Feryal; Delice, Elif Kilic; 0000-0002-3051-0496
Shopping malls (SMs) are one of the prides of cities with their attractive appearance, charming stores and different consumer types. The heavy competition, ever increasing and diversifying consumer expectations alongside the changes in the demand equilibrium in the mall sector force managers to a really hard struggle to remain alive in the sector. This study aims to resolve the decision-making problem of SM selection by considering several different main criteria such as universal design, technical characteristics, esthetic appearance etc. The method used to resolve this problem is a task-based integrated fuzzy multi-criteria decision-making (TB-IFMCDM) approach that includes Modified Fuzzy Decision-Making Trial and Evaluation Laboratory (MF-DEMATEL) and Fuzzy Multi-Objective Optimization on the Basis of Ratio Analysis (F-MOORA). It also aims to determine the best SM through the support of universal design criteria by simultaneously considering the needs of all consumers including those of diverse populations, which is a rapidly growing market. As such, SM-selection-related tasks are given to experts who are treated like and act as consumers. Criteria weights are computed considering direct and indirect effect relations by transforming criteria importance to criteria effect, via utilization of MF-DEMATEL. Additionally, rankings of four SMs are obtained by implementing F-MOORA. Finally, a comparative analysis is conducted to determine the consistency of the ranking of the proposed approach by comparing them with the results of the fuzzy complex proportional assessment. As a result of this study, it is identified that design-related criteria are most important for SM selection.