ASSESSMENT OF THE QUALITY INSPECTORS FOR THE RAILWAY MANUFACTURING INDUSTRY IN INTERVAL-VALUED Q-RUNG ORTHOPAIR FUZZY ENVIRONMENT
Abstract
Keywords
Full Text:
PDFReferences
Oestern, H.J., Huels, B., Quirini, W., Pohlemann, T., 2000, Facts about the disaster at Eschede, J. Orthop. Trauma, 14(4), pp. 287-290.
Shallcross, D.C., 2013, Using concept maps to assess learning of safety case studies: The Eschede train disaster, Int. J. Eng. Educ., 29(5), pp. 1281-1293.
Chen, L., Zhao, Y., Zhao, T., 2015, An AcciMap analysis on the China-Yongwen railway accident. Lecture Notes in Mechanical Engineering, 25, pp. 1247–1253. In book: Engineering Asset Management - Systems, Professional Practices and Certification, Springer International Publishing.
Shi, W., Wang, H., He, S., 2013, Sentiment analysis of Chinese microblogging based on sentiment ontology: A case study of "7.23 Wenzhou Train Collision.", Connect. Sci., 25(4), pp. 161-178.
Shultz, J.M., Garcia-Vera, M.P., Santos, C.G., Sanz, J., Bibel, G., Schulman, C., Bahouth, G., Dias Guichot, Y., Espinel, Z., Rechkemmer, A., 2016, Disaster complexity and the Santiago de Compostela train derailment, Disaster Health, 3(1), pp. 1-21.
Forsberg, R., V'zquez, J.A.I., 2016, A high-speed train crash case study outside Santiago de Compostela, Galicia, Spain, Prehosp. Disaster Med., 31(2), pp. 163-168.
UIC, 2023, UIC Railisa Statistics Database, Genova.
Bozat, A., Furat, M., 2022, Importance of derailment accident in railway accidents and suggestions for solutions, Proc. 3rd International Anatolian Congress on Scientific Research, Malatya, pp. 594–601.
Cannon, D.F., Edel, K.O., Grassie, S.L., Sawley, K., 2003, Rail defects: An overview, Fatigue Fract. Eng. Mater. Struct., 26(10), pp.865-886.
Ning, B., Tang, T., Dong, H., Wen, D., Liu, D., Gao, S., Wang, J., 2011, An introduction to parallel control and management for high-speed railway systems, IEEE Trans. Intell. Transp. Syst., 12(4), pp. 1473-1483.
Babaeimorad, S., Fattahi, P., Fazlollahtabar, H., & Shafiee, M., 2024, An integrated optimization of production and preventive maintenance scheduling in industry 4.0, Facta Universitatis, Series: Mechanical Engineering, 22(4), pp. 711-720.
Haines, F., 2004, Regulation and Risk: Occupational Health and Safety on the Railways, J. Contingencies Crisis Manag., 12(1), pp. 44-46.
Mohammadi, M., Jämsä-Jounela, S.L., Harjunkoski, I., 2019, Optimal planning of municipal solid waste management systems in an integrated supply chain network, Comput. Chem. Eng., 123, pp. 155-169.
Jarzębowski, S., Mondy, C., Dalewska-Mądra, I., Enz, M., 2024, Strategic procurement management of railroad rolling stock in the European Union, Cent. Eur. J. Manag., 32, pp. 567–584.
Ma, X., Fan, D., Zhou, Y., Yang, C.H., 2021, The impact of inspection on the sustainable production strategy: Environmental violation and abatement in emerging markets, Transp. Res. E: Logist., 150, 102294,
Upadhye, N., Deshmukh, S.G., Garg, S., 2010, Lean manufacturing system for medium size manufacturing enterprises: An Indian case, Int. J. Manag. Sci. Eng. Manag.. 5(5), pp. 362-375.
Bakam, G., Mpofu, Khumbulani, Mbohwa, C., 2024, E-manufacturing model using crowdsourcing technologies for production efficiency in railway transport manufacturing companies in South Africa. In: Wang, YC., Chan, S.H., Wang, ZH. (eds): Flexible Automation and Intelligent Manufacturing: Manufacturing Innovation and Preparedness for the Changing World Order, FAIM 2024. Lecture Notes in Mechanical Engineering. Springer, Cham.
Gebauer, H., Johnson, M., Enquist, B., 2010, Value co-creation as a determinant of success in public transport services: A study of the Swiss Federal Railway operator (SBB), Manag. Serv. Qual., 20(6), pp. 511-530.
Dhal, P. R., Choudhury, B. B., Sahoo, S. K., 2024, Evaluating motor choices for a smart wheelchair prototype using an integrated TODIM-CoCoSo approach with MEREC weighting, Engineering Review, 44(4), 22–44.
Marshall, D., Ambrose, E., McIvor, R., Lamming, R., 2015, Self-interest or the greater good: How political and rational dynamics influence the outsourcing process, Int. J. Oper. Prod. Manag., 35(4), pp. 547-576.
Tate, W.L., Ellram, L.M., Bals, L., Hartmann, E., 2009, Offshore outsourcing of services: An evolutionary perspective, Int. J. Prod. Econ., 120(2), pp. 512-524.
Mehrabioun Mohammadi, M., Jalali, A., Hasani, A., 2022, Success and failure factors in implementing quality management systems in small- and medium-sized enterprises: a mixed-method study, Int. J. Qual. Reliab. Manag., 39(2), pp. 468-494.
Rais, R.N. Bin, Rashid, M., Zakria, M., Hussain, S., Qadir, J., Imran, M.A., 2021, Employing industrial quality management systems for quality assurance in outcome-based engineering education: A review, Educ. Sci., 11(2), 45.
Jaeger, B., Upadhyay, A., 2020, Understanding barriers to circular economy: cases from the manufacturing industry, J. Enterp. Inf. Manag., 33(4), pp. 729-745.
Kannan, K.S.P.N., Garad, A., 2021, Competencies of quality professionals in the era of industry 4.0: a case study of electronics manufacturer from Malaysia, Int. J. Qual. Reliab. Manag., 38(3), pp. 839-871.
Mittal, S., Khan, M.A., Romero, D., Wuest, T., 2018, A critical review of smart manufacturing & Industry 4.0 maturity models: Implications for small and medium-sized enterprises (SMEs), J. Manuf. Syst., 49, pp. 194-214.
Jana, S., Giri, B. C., Sarkar, A., Asharaf, S., Jana, C., Pamucar, D., Marinkovic, D., 2024, Selection of brokerage firms for e-services using fuzzy decision making process with AHP and MARCOS approaches. Engineering Review, 44(4), pp. 1–21.
Božanić, D., Epler, I., Puška, A., Biswas, S., Marinković, D., Koprivica, S., 2024, Application of the DIBR II – Rough MABAC decision-making model for ranking methods and techniques of lean organization systems management in the process of technical maintenance, Facta Universitatis-Series Mechanical Engineering, 22(1), pp. 101-123.
Genta, G., Galetto, M., Franceschini, F., 2020, Inspection procedures in manufacturing processes: recent studies and research perspectives, Int. J. Prod. Res., 58(15), pp. 4767–4788.
Flynn, B.B., Schroeder, R.G., Sakakibara, S., 1995, The impact of quality management practices on performance and competitive advantage, Decis. Sci., 26(5), pp. 659-691.
Diakoulaki, D., Mavrotas, G., Papayannakis, L., 1995, Determining objective weights in multiple criteria problems: The CRITIC method, Comput. Oper. Res., 22(7), pp. 763-770.
Zavadskas, E.K., Turskis, Z., Antucheviciene, J., Zakarevicius, A., 2012, Optimization of weighted aggregated sum product assessment, Elektron. ir Elektrotech., 122(6), pp. 3–6.
Uzunsakal, E., Yıldız, D., 2018, Alan araştırmaların güvenı̇lı̇rlı̇k testlerı̇nı̇n karşılaştırılması ve tarımsal verı̇ler üzerı̇ne bı̇r uygulama, Uygulamalı Sosyal Bilimler Dergisi, 2(1), pp.14-28.
Yager, R.R., 2016, Generalized Orthopair fuzzy sets, IEEE Trans. Fuzzy Syst., 25(5), pp. 1222–1230.
Xu, Y., 2023, A two-stage multi-criteria decision-making method with interval-valued q-Rung Orthopair fuzzy technology for selecting bike-sharing recycling supplier, Eng. Appl. Artif. Intell., 119, 105827
Joshi, B.P., Singh, A., Bhatt, P.K., Vaisla, K.S., 2018, Interval-valued q-rung orthopair fuzzy sets and their properties, J. Intell. Fuzzy Syst., 35(5), pp. 5225-5230.
Saaty, T., 1980, The Analytic Hierarchy Process. McGraw-Hill, London.
Belton, V., Stewart, T. J., 2002, Multiple Criteria Decision Analysis. Springer, Berlin.
Jin, C., Ran, Y., Zhang, G., 2021, Interval-valued q-rung orthopair fuzzy FMEA application to improve risk evaluation process of tool changing manipulator, Appl. Soft Comput., 104, 107192.
Gurmani, S.H., Garg, H., Zulqarnain, R.M., Siddique, I., 2023, Selection of unmanned aerial vehicles for precision agriculture using Interval-Valued q-Rung Orthopair Fuzzy information based TOPSIS Method, Int. J. Fuzzy Syst., 25, pp. 2939–2953.
Zhang, X., Dai, L., Wan, B., 2022, NA Operator-Based Interval-Valued q-Rung Orthopair Fuzzy PSI-COPRAS Group Decision-Making Method, International Journal of Fuzzy Systems, 25(1), pp.198–221.
Gurmani, S.H., Chen, H., Bai, Y., 2021, The operational properties of linguistic interval valued q-Rung orthopair fuzzy information and its VIKOR model for multi-attribute group decision making, J. Intell. Fuzzy Syst., 41(6), pp. 7063-7079.
Ali, J., Khan, Z.A., 2023, Interval-Valued p,q-Rung Orthopair fuzzy exponential TODIM approach and its application to green supplier selection, Symmetry, 15(12), 2115.
Sudha, S., Priya, R., Martin, N., Broumi, S., Smarandache, F., 2024, Combined plithogenic hypersoft sets in decision making on supplier selection with different MCDM approaches, Engineering Review, 44(4), pp. 122-140.
Refbacks
- There are currently no refbacks.
ISSN: 0354-2025 (Print)
ISSN: 2335-0164 (Online)
COBISS.SR-ID 98732551
ZDB-ID: 2766459-4