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Risk Prioritizing with Weighted Failure Mode and Effects Analysis and Fuzzy Step-Wise Weight Assessment Ratio Analysis: An Application Software Service Provider Company in the Defense Industry
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With the development of technology, the need for software and software products to manage, control, and develop activities in many sectors is increasing daily. In order to create suitable software that will meet the needs of businesses and customers, the software application must be tested in detail before reaching the end user. For this reason, software testing processes are gaining importance in software development activities. This article discusses which errors are critical to solve in complex situations for the reliability and quality of the software product and the relationship between errors. In this study, the classical FMEA method was primarily used to identify and prioritize errors in an ongoing project of a company that provides software services in the defense industry. Later, to eliminate the shortcomings of the classical FMEA method, a new model, the weighted FMEA method (which calculates the risk priority score with five sub-severity components), was developed and applied. In the newly developed weighted FMEA method, the weights were determined by the fuzzy SWARA (Step-Wise Weight Assessment Ratio Analysis) method since the weights of the severity subcomponents were not the same. The risk priority number (RPN) of error types was calculated using classical FMEA and weighted FMEA. Since the RPNs calculated with weighted FMEA are calculated with more subcomponents, the chances of the RPNs’ errors appearing the same are much less than the RPNs calculated with classical FMEA. This situation indicates that the RPNs calculated with weighted FMEA are obtained from a more profound analysis.
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References 75 · Cited by 4
Research works printed but not linked: 79
- Singh, 2023, A hybrid novel fuzzy AHP-TOPSIS technique for selecting parameter-influencing testing in software development, Decis. Anal. J., 6, 100159, 10.1016/j.dajour.2022.100159 · DOI
- Nath, 2023, AI and Blockchain based source code vulnerability detection and prevention system for multiparty software development, Comput. Electr. Eng., 106, 108607, 10.1016/j.compeleceng.2023.108607 · DOI
- Lee, 2020, Optimization of software development life cycle quality for NPP safety software based on a risk-cost model, Ann. Nucl. Energy, 135, 106961, 10.1016/j.anucene.2019.106961 · DOI
- Pinciroli, 2022, Systematic mapping study: On the coverage of aspect-oriented methodologies for the early phases of the software development life cycle, J. King Saud Univ. Comput. Inf. Sci., 34, 2883
- Rhmann, 2020, Software fault prediction based on change metrics using hybrid algorithms: An empirical study, J. King Saud Univ. Comput. Inf. Sci., 32, 419
- Kumar, 2015, A Probabilistic Software Risk Assessment and Estimation Model for Software Projects, Procedia Comput. Sci., 54, 353, 10.1016/j.procs.2015.06.041 · DOI
- Souza, 2022, Prioritizing risks with composition of probabilistic preferences and weighting of FMEA criteria for fast decision-making in complex scenarios, Int. J. Manag. Proj. Bus., 15, 572, 10.1108/IJMPB-01-2021-0007 · DOI
- Liu, 2024, An improved FMEA method based on the expert trust network for maritime transportation risk management, Expert Syst. Appl., 238, 121705, 10.1016/j.eswa.2023.121705 · DOI
- Tooranloo, 2016, A model for failure mode effect analysis based on intuitionistic fuzzy approach, Appl. Soft Comput., 49, 238, 10.1016/j.asoc.2016.07.047 · DOI
- Ghoushchi, 2024, Applying hesitant q-rung orthopair fuzzy sets to evaluate uncertainty in subsidence causes factors, Heliyon, 10, e29415, 10.1016/j.heliyon.2024.e29415 · DOI
- Aydin, 2022, A new risk assessment framework for safety in oil and gas industry: Application of FMEA and BWM based picture fuzzy MABAC, J. Pet. Sci. Eng., 219, 111059, 10.1016/j.petrol.2022.111059 · DOI
- Ghiaci, 2023, Assessment of barriers to IoT-enabled circular economy using an extended decision-making-based FMEA model under uncertain environment, Internet Things, 22, 100719, 10.1016/j.iot.2023.100719 · DOI
- Moyano, 2022, Uses of business process modeling in agile software development projects, Inf. Softw. Technol., 152, 107028, 10.1016/j.infsof.2022.107028 · DOI
- Najihi, 2022, Software Testing an Agile and Traditional View, Procedia Comput. Sci., 203, 775, 10.1016/j.procs.2022.07.116 · DOI
- Ouriques, 2023, The role of knowledge-based resources in Agile Software Development contexts, J. Syst. Softw., 197, 111572, 10.1016/j.jss.2022.111572 · DOI
- Monika, 2022, A framework for evaluating cloud computing services using AHP and TOPSIS approaches with interval valued spherical fuzzy sets, Clust. Comput., 25, 4383, 10.1007/s10586-022-03679-z · DOI
- Nazim, 2022, A comparison between fuzzy AHP and fuzzy TOPSIS methods to software requirements selection, Alex. Eng. J., 61, 10851, 10.1016/j.aej.2022.04.005 · DOI
- Ranjbar, 2022, Multi-mode project portfolio selection and scheduling in a build-operate-transfer environment, Expert Syst. Appl., 189, 116134, 10.1016/j.eswa.2021.116134 · DOI
- 2017, Bir tedarikçi problemi için SWARA ve WASPAS yöntemlerine dayanan karar verme yaklaşımı, Int. Rev. Econ. Manag., 5, 56
- Kersuliene, 2010, Selection of rational dispute resolution method by applying new step-wise weight assessment ratio analysis (SWARA), J. Bus. Econ. Manag., 11, 243, 10.3846/jbem.2010.12 · DOI
- Zolfani, 2015, Technology Foresight about R&D Projects Selection: Application of SWARA method at the policy making level, Eng. Econ., 26, 571
- Alimardani, 2013, A novel hybrid SWARA and VIKOR methodology for supplier selection in an agile environment, Technol. Econ. Dev. Econ., 19, 533, 10.3846/20294913.2013.814606 · DOI
- Naeemah, 2023, Sustainability metrics and a hybrid decision-making model for selecting lean manufacturing tools, Resour. Environ. Sustain., 13, 100120
- Sarkodie, 2022, Decision optimization techniques for evaluating renewable energy resources for power generation in Ghana: MCDM approach, Energy Rep., 8, 13504, 10.1016/j.egyr.2022.10.120 · DOI
- Seker, 2022, IoT based sustainable smart waste management system evaluation using MCDM model under interval-valued q-rung orthopair fuzzy environment, Technol. Soc., 71, 2, 10.1016/j.techsoc.2022.102100 · DOI
- Lohakare, 2022, Benchmark using multi criteria decision making (MCDM) technique to optimally select piston material, Eng. Anal. Bound. Elem., 142, 52, 10.1016/j.enganabound.2022.05.025 · DOI
- Sarkar, 2022, Watershed prioritization using morphometric analysis by MCDM approaches, Ecol. Inf., 70, 101763, 10.1016/j.ecoinf.2022.101763 · DOI
- Chodha, 2022, Selection of industrial arc welding robot with TOPSIS and Entropy MCDM techniques, Mater. Today Proc., 50, 709, 10.1016/j.matpr.2021.04.487 · DOI
- Zakeri, 2021, The vital-immaterial-mediocre multi-criteria decision making method, Kybernetes, 52, 937, 10.1108/K-05-2021-0403 · DOI
- Zorlu, 2023, Assessment of glacial geoheritage by multi-criteria decision making (MCDM) methods in the Yalnızçam Mountains, Northeastern Türkiye, Int. J. Geoheritage Parks, 11, 100, 10.1016/j.ijgeop.2023.01.001 · DOI
- Sengul, 2020, Bulanık SWARA ve Bulanık Analitik Hiyerarşi Prosesi Yöntemi ile İş Değerlemesi, Dicle Univ. J. Eng., 11, 965
- KorkusuzPolat, 2021, Application of Fuzzy DEMATEL and Fuzzy VIKOR Methods in Personnel Selection, Eur. J. Sci. Technol., 23, 376
- Ansari, 2020, Evaluation and ranking of solutions to mitigate sustainable remanufacturing supply chain risks: A hybrid fuzzy SWARA-fuzzy COPRAS framework approach, Int. J. Sustain. Eng., 13, 473, 10.1080/19397038.2020.1758973 · DOI
- Abdullah, 2023, Multi-criteria decision making for nuclear power plant selection using fuzzy AHP: Evidence from Indonesia, Energy AI, 14, 100263, 10.1016/j.egyai.2023.100263 · DOI
- Rabia, 2023, Collaborative intuitionistic fuzzy-AHP to evaluate simulation-based analytics for freight transport, Expert Syst. Appl., 225, 120116, 10.1016/j.eswa.2023.120116 · DOI
- Abusaeed, 2023, A fuzzy AHP based approach for prioritization of cost overhead factors in agile software development, Appl. Soft Comput., 133, 109977, 10.1016/j.asoc.2022.109977 · DOI
- Abdullah, 2023, Barriers and strategies for sustainable manufacturing implementation in SMEs: A hybrid fuzzy AHP-TOPSIS framework, Sustain. Manuf. Serv. Econ., 2, 100012
- Esmaelnezhad, 2023, International strategic alliance for collaborative product innovation: An agent-based scenario analysis in biopharmaceutical industry, J. Bus. Res., 158, 113663, 10.1016/j.jbusres.2023.113663 · DOI
- Keshteli, 2023, Pythagorean fuzzy TOPSIS method green supplier selection in the food industry, Expert Syst. Appl., 224, 120036, 10.1016/j.eswa.2023.120036 · DOI
- Abdul, 2023, Prioritization of ecopreneurship barriers overcoming renewable energy technologies promotion: A comparative analysis of novel spherical fuzzy and pythagorean fuzzy AHP approach, Technol. Forecast. Soc. Change, 186, 122133, 10.1016/j.techfore.2022.122133 · DOI
- KorkusuzPolat, T., and Baran, E. (2024). A Blockchain-Based Quality 4.0 Application for Warehouse Management System. Appl. Sci., 14. · DOI
- Tomak, 2022, Risk prioritization model driven by success factor in the light of multi-criteria decision making, Open Chem., 20, 759, 10.1515/chem-2022-0188 · DOI
- Taheriyoun, 2015, Reliability analysis of a wastewater treatment plant using fault tree analysis and Monte Carlo simulation, Environ. Monit. Assess., 187, 4186, 10.1007/s10661-014-4186-7 · DOI
- Andrade, 2022, A multi-criteria decision tool for FMEA in the context of product development and industry 4.0, Int. J. Comput. Integr. Manuf., 35, 36, 10.1080/0951192X.2021.1992664 · DOI
- Akyuz, 2018, A quantitative risk analysis by using interval type-2 fuzzy FMEA approach: The case of oil spill, Marit. Policy Manag., 45, 979, 10.1080/03088839.2018.1520401 · DOI
- Chen, 2019, Failure mode and effects analysis of dual leveling valve airspring suspensions on truck dynamics, Int. J. Veh. Mech. Mobil., 57, 617
- Shafiee, 2022, An integrated FMEA and MCDA based risk management approach to support life extension of subsea facilities in high-pressure–high-temperature (HPHT) conditions, J. Mar. Eng. Technol., 21, 189, 10.1080/20464177.2020.1827486 · DOI
- Takahashi, 2022, A creation method of comprehensive cases and specifications for hardware and software combined test to detect undesirable events of an industrial product using HAZOP, Reliab. Eng. Syst. Saf., 15, 50
- Wang, 2012, A novel knowledge database construction method for operation guidance expert system based on HAZOP analysis and accident analysis, J. Loss Prev. Process Ind., 25, 905, 10.1016/j.jlp.2012.05.001 · DOI
- Shaw, 2008, WASOP, a qualitative methodology for waste Minimization Systems thinking, HAZOP principles and nuclear waste, Int. J. Energy Sect. Manag., 2, 231, 10.1108/17506220810883234 · DOI
- Xie, 2021, A novel risk evaluation method for fire and explosion accidents in oil depots using bow-tie analysis and risk matrix analysis method based on cloud model theory, Reliab. Eng. Syst. Saf., 215, 107791, 10.1016/j.ress.2021.107791 · DOI
- Cebi, 2022, Operational risk analysis in business processes using decomposed fuzzy sets, J. Intell. Fuzzy Syst., 43, 2485, 10.3233/JIFS-213385 · DOI
- Zhang, 2017, A fuzzy risk matrix method and its application to the installation operation of subsea collet connector, J. Loss Prev. Process Ind., 45, 147, 10.1016/j.jlp.2016.11.014 · DOI
- Yener, 2021, A FMEA based novel intuitionistic fuzzy approach proposal: Intuitionistic fuzzy advance MCDM and mathematical modeling integration, Expert Syst. Appl., 183, 115413, 10.1016/j.eswa.2021.115413 · DOI
- Unlukal, 2021, Risk analysis application in aviation sector with intuitionistic fuzzy TOPSIS method, Dumlupınar Univ. J. Soc. Sci., 70, 97
- Liu, 2023, Risk assessment based on FMEA combining DEA and cloud model: A case application in robot-assisted rehabilitation, Expert Syst. Appl., 214, 119119, 10.1016/j.eswa.2022.119119 · DOI
- Pourmadadkar, 2020, An integrated approach for healthcare services risk assessment and quality enhancement, Int. J. Qual. Reliab. Manag., 37, 1183, 10.1108/IJQRM-11-2018-0314 · DOI
- Khalilzadeh, 2020, Multi-objective mathematical model based on fuzzy hybrid multi-criteria decision-making and FMEA approach for the risks of oil and gas projects, J. Eng. Des. Technol., 18, 1997
- Chen, 2022, Assessment of red tide risk by integrating CRITIC weight method, TOPSIS-ASSETS method, and Monte Carlo simulation, Environ. Pollut., 314, 120254, 10.1016/j.envpol.2022.120254 · DOI
- Yu, 2023, A novel FMEA approach for submarine pipeline risk analysis based on IVIFRN and ExpTODIM-PROMETHEE-II, Appl. Soft Comput., 136, 110065, 10.1016/j.asoc.2023.110065 · DOI
- Koohathongsumrit, 2023, Route selection in multimodal supply chains: A fuzzy risk assessment model-BWM-MARCOS framework, Appl. Soft Comput., 137, 110167, 10.1016/j.asoc.2023.110167 · DOI
- Marhavilas, 2020, An expanded HAZOP-study with fuzzy-AHP (XPA-HAZOP technique): Application in a sour crude-oil processing plant, Saf. Sci., 124, 104590, 10.1016/j.ssci.2019.104590 · DOI
- Zhang, 2021, Research on risk management of medical and health care integration projects based on fuzzy WINGS-G1, Kybernetes, 52, 729, 10.1108/K-07-2021-0578 · DOI
- Alvand, 2021, Identification and assessment of risk in construction projects using the integrated FMEA SWARA-WASPAS model under fuzzy environment: A case study of a construction project in Iran, Int. J. Constr. Manag., 23, 392
- Ilbahar, 2022, Risk assessment of renewable energy investments: A modified failure mode and effect analysis based on prospect theory and intuitionistic fuzzy AHP, Energy, 239, 121907, 10.1016/j.energy.2021.121907 · DOI
- Ahsan, 2022, Evaluation of manufacturing process in low variety high volume industry with the coupling of cloud model theory and TOPSIS approach, Qual. Eng., 35, 222, 10.1080/08982112.2022.2107934 · DOI
- Ok, 2022, Prioritization of radiological accident scenarios during decommissioning of nuclear power plants by risk matrix and AHP method, Ann. Nucl. Energy, 175, 109239, 10.1016/j.anucene.2022.109239 · DOI
- Fattahi, 2018, Risk evaluation using a novel hybrid method based on FMEA, extended MULTIMOORA, and AHP methods under fuzzy environment, Saf. Sci., 102, 290, 10.1016/j.ssci.2017.10.018 · DOI
- Kumari, 2023, Failure mode and effects analysis of common effluent treatment plants of humid sub-tropical regions using fuzzy based MCDM methods, Eng. Fail. Anal., 145, 107010, 10.1016/j.engfailanal.2022.107010 · DOI
- KorkusuzPolat, 2024, Risk Prioritization in A Manufacturing Project with Fuzzy SWARA and Fuzzy MOORA Methods, Erzincan Univ. J. Sci. Technol., 17, 16
- Emovon, 2020, Application of MCDM method in material selection for optimal design: A review, Results Mater., 7, 100115, 10.1016/j.rinma.2020.100115 · DOI
- Stanujkic, 2015, A framework for the selection of a packaging design based on the SWARA method, Eng. Econ., 26, 181, 10.5755/j01.ee.26.2.8820 · DOI
- Mardani, 2017, A systematic review and meta-analysis of SWARA and WASPAS methods: Theory and applications with recent fuzzy developments, Appl. Soft Comput., 57, 265, 10.1016/j.asoc.2017.03.045 · DOI
- Agarwal, 2020, Evaluating solutions to overcome humanitarian supply chain management barriers: A hybrid fuzzy SWARA—Fuzzy WASPAS approach, Int. J. Disaster Risk Reduct., 51, 101838, 10.1016/j.ijdrr.2020.101838 · DOI
- Zadeh, 1968, Fuzzy Algorithms”, Information and Control, Inf. Control, 12, 94, 10.1016/S0019-9958(68)90211-8 · DOI
- Pradhan, 2022, Selection of electric vehicle using integrated fuzzy-MCDM approach with analysis on challenges faced in hilly terrain, Energy Sources Part A: Recovery Util. Environ. Eff., 44, 2651, 10.1080/15567036.2022.2056665 · DOI
- Liu, 2015, Improving risk evaluation in FMEA with a hybrid multiple criteria decision making method, Int. J. Qual. Reliab. Manag., 32, 763, 10.1108/IJQRM-10-2013-0169 · DOI
- Rezaee, 2020, Risk analysis of health, safety and environment in chemical industry integrating linguistic FMEA, fuzzy inference system and fuzzy DEA, Stoch. Environ. Res. Risk Assess., 34, 201, 10.1007/s00477-019-01754-3 · DOI
- Yesilcayir, 2024, Transit warehouse location selection by IF AHP-TOPSIS integrated methods for disaster logistics: A case study of Turkey, Res. Transp. Bus. Manag., 57, 101232
Metadata
- Authors
- Korkusuz Polat, T., & Pamuk Candan, I.
- Affiliations
- Department of Industrial Engineering, Sakarya University, Sakarya 54050, Turkey
- Institute of Natural Sciences, Sakarya University, Sakarya 54050, Turkey
- Venue
- Applied Sciences
- Publisher
- MDPI AG
- Published
- 2024-12-11
- Volume
- 14
- Issue
- 24
- Pages
- 11573
- ISSN
- 2076-3417 (ISSN-L)
- OpenAlex
- W4405282620
- Cited by
- 4
- References
- 75
- Citations by year
- 2026: 3
- FWCI
- 0.79
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Applied Sciences (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Software Engineering Techniques and Practices
- Social Sciences › Decision Sciences › Management Science and Operations Research › Multi-Criteria Decision Making
- Physical Sciences › Computer Science › Software › Software Reliability and Analysis Research
- Keywords
- fuzzy SWARA, risk prioritization, risk priority number, software testing, software reliability
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