Integrated Decision-Making Approach Based on SWARA and GRA Methods for the Prioritization of Failures in Solar Panel Systems under Z-Information

Abstract

Encountering a problem or error in the final stages of providing products or services increases costs and delays scheduling. The key task is to ensure quality and reliability in the early stages of the production process and prevent errors from occurring from the beginning. Failure mode and effect analysis (FMEA) is one of the tools for identifying potential problems and their impact on products and services. The conventional FMEA technique has been criticized extensively due to its disadvantages. In this study, the concepts of uncertainty and reliability are considered simultaneously. The processes of weighting risk factors, prioritizing failures by using the stepwise weight assessment ratio analysis (SWARA)–gray relational analysis (GRA) integrated method based on Ζ-number theory and complete prioritization of failures are implemented. Crucial management indices, such as cost and time, are considered in addition to severity, occurrence and detection factors along with assigning symmetric form of the weights to them. This, in turn, increases the interpretability of results and reduces the decision-maker’s subjectivity in risk prioritization. The developed model is implemented on solar panel data with 19 failure modes determined by the FMEA team. Results show that the proposed approach provides a more complete and realistic prioritization of failures than conventional FMEA and fuzzy GRA methods do.

Ranking of Identified Barriers in Implementation of Six Sigma in Indian Industries

“…Table 2 shows the relative weights given by three experts. Relative weights for both the categories was calculated using the equation (3). Then relative weight of main categories is multiplied by relative weight of each categories to get the global weight.…”

Evaluation of Wind Turbine Failure Modes Using the Developed SWARA-CoCoSo Methods Based on the Spherical Fuzzy Environment

“…The SWARA method was introduced by Zavadskas et al [59] in 2010, which can rank and determine the weight of criteria. In this method, a group of experts shares their opinions about the options while a researcher takes notes and, based on them, determines the relative weights by ranking them [79]. The SF-SWARA is used in this study to assess the weights of RPN factors considering the probable uncertainty in decision-makerss' views.…”

Road safety assessment and risks prioritization using an integrated SWARA and MARCOS approach under spherical fuzzy environment

“…Apart from different reliability management tools, the main goal of the failure mode and effect analysis (FMEA) is to identify and prioritize the potential failure modes before a failure arises [ 25 ]. Failure modes with a higher RPN are more important and need to be fixed quickly to avoid or reduce possible risks [ 5 ]. FMEA has been used in various fields due to its application.…”

“…The SWARA method was first introduced by Keršuliene, Zavadskas [ 32 ]. In this method, a group of experts express their opinions about the options freely while a researcher takes notes and determines the relative weights by ranking them based on the evaluation of experts [ 5 ]. The SF-SWARA is applied in this research to evaluate the weights of FMEA parameters considering the probable uncertainty in the views of DMs.…”

“…Risk factors with higher RPN are more significant and will require incite activities to avoid or relieve probable risks [ 5 ]. Though a systematic way to rank risk assessments, this conventional FMEA logic has some disadvantages.…”