nach oben

International Journal on Interactive Design and Manufacturing (IJIDeM)

Erschienen in:

27.08.2023 | Original Paper

Selection of 3D printing technologies for prosthesis production with multi-criteria decision making methods

verfasst von: Hacı Mehmet Alakas, Emre Yazici, Ufukcan Ebiri, Berat Alperen Kizilay, Onur Oruc

Erschienen in: International Journal on Interactive Design and Manufacturing (IJIDeM) | Ausgabe 2/2024

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

Today, innovations are emerging in every field that comes with the constantly developing technology. 3D printers, among the developing technologies and making essential contributions, are significant in fields such as industry and health. 3D printers are used in many areas and provide various benefits, especially flexibility in production. 3D printers provide flexibility in producing products using multiple technologies according to the effect produced. However, differentiating the methods and alternatives creates an alternative selection problem for decision-makers. In this study, which is examined in this context, 3D printer technologies used in prosthesis production will be discussed. The study aims to find the most suitable prosthetic construction technology by comparing the 3D printer technologies used in prosthesis production to minimize the machine cost for prosthesis, eliminate mold production for personal prosthesis production, reduce production time, and customize. Five criteria were determined in selecting the 3D printer technology used in prosthesis production, and ten alternative technologies were listed according to the criteria. The criterion weights are calculated using the Analytical Hierarchy Process, a Multi-Criteria Decision-Making method—alternatives ranked by TOPSIS and PROMETHEE. The most suitable alternative was selected for prosthesis production. A decision-making procedure is proposed for decision-makers. The study demonstrates its originality by presenting analysis with multi-criteria decision-making methods to evaluate alternative 3D printers for prosthesis production.

Vorheriger Artikel Design thinking-driven development of a modular X-Band antenna using multi-material 3D printing

Nächster Artikel Impulse dynamics and augmented reality for real-time interactive digital twin exploration and interrogation

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Abdulhameed, O., Al-Ahmari, A., Ameen, W., Mian, S.H.: Additive manufacturing: challenges, trends, and applications. Adv. Mech. Eng. 11(2), 1–27 (2019). https://doi.org/10.1177/1687814018822880/ASSET/IMAGES/LARGECrossRef

Andreadis, I.I., Gioumouxouzis, C.I., Eleftheriadis, G.K. and Fatouros, D.G.: The advent of a new era in digital healthcare: a role for 3D printing technologies in drug manufacturing? Pharmaceutics 2022, Vol. 14, Page 609, Multidisciplinary Digital Publishing Institute, Vol. 14 No. 3, p. 609, https://doi.org/10.3390/PHARMACEUTICS14030609.

Arslan, N., Yaylaci, B., Deniz-Eyüpoğlu, N., Kürtüncü, M.: Emerging technology in health: three-dimensional printing. Int. J. 3D Print. Technol. Digit. Ind. 2(2), 99–110 (2018)

Aydin, L., Küçük, S.: Design and construction of Ankle foot orthosis by means of three dimensional printers. J. Polytech. 20(1), 1–8 (2017). https://doi.org/10.2339/2017.20.1CrossRef

Bacciaglia, A., Ceruti, A., Liverani, A.: A design of experiment approach to 3D-printed mouthpieces sound analysis. Prog. Addit. Manuf. 6(3), 571–587 (2021). https://doi.org/10.1007/S40964-021-00183-5/TABLES/2CrossRef

Bagci, H., Esmer, Y.: Factoring company selection by using PROMETHEE method. BUJSS 9(2), 116–129 (2016)

Bai, W., Zhang, L.: How to finance for establishing hydrogen refueling stations in China? An analysis based on Fuzzy AHP and PROMETHEE. Int J. Hydrog. Energy 45(59), 34354–34370 (2020). https://doi.org/10.1016/j.ijhydene.2019.12.198CrossRef

Bevilacqua, M., Braglia, M.: The analytic hierarchy process applied to maintenance strategy selection. Reliab. Eng. Syst. Saf. 70(1), 71–83 (2000). https://doi.org/10.1016/S0951-8320(00)00047-8CrossRef

Bozkurt, Y., Karayel, E.: 3D printing technology; methods, biomedical applications, future opportunities and trends. J. Mater. Res. Technol. 14, 1430–1450 (2021). https://doi.org/10.1016/J.JMRT.2021.07.050CrossRef

10.

Brans, J.P., Vincke, P.: Note: a preference ranking organisation method. Manag. Sci. INFORMS 31(6), 647–656 (1985). https://doi.org/10.1287/MNSC.31.6.647CrossRef

11.

Brown, C.: 3D printing set to revolutionize medicine. Can. Med. Assoc. J. CMAJ 189(29), E973–E974 (2017). https://doi.org/10.1503/CMAJ.1095442CrossRef

12.

Bulat, F.: Research on the Performance and Comfort Properties of Textile Surfaces Printed out from Three-Dimensional. Gazi University (2019)

13.

Bulut, A.C.: Evaluation of dental models created by using a low-cost, three-dimensional printer. Kırıkkale Univ. Med. J. 22(3), 461–469 (2020). https://doi.org/10.24938/KUTFD.816824CrossRef

14.

Çalık, A.: A novel Pythagorean fuzzy AHP and fuzzy TOPSIS methodology for green supplier selection in the Industry 4.0 era. Soft Comput. (2021). https://doi.org/10.1007/s00500-020-05294-9CrossRef

15.

Can, E.: The Use of Three Dimensional Printers in the Process of Ceramics Production and Artistic Suggustions. Anadolu University, Eskişehir (2019)

16.

Chen, R.K., Chen, L., Tai, B.L., Wang, Y. and Shih, A.J.: Additive manufacturing of personalized ankle-foot orthosis. In: Proceedings of NAMRI/SME ((2014))

17.

Chen, R.K., Jin, Y.A., Wensman, J., Shih, A.: Additive manufacturing of custom orthoses and prostheses: a review. Addit. Manuf. 12, 77–89 (2016). https://doi.org/10.1016/J.ADDMA.2016.04.002CrossRef

18.

Chen, Z., Li, Z., Li, J., Liu, C., Lao, C., Fu, Y., Liu, C., et al.: 3D printing of ceramics: a review. J. Eur. Ceram. Soc. 39(4), 661–687 (2019). https://doi.org/10.1016/J.JEURCERAMSOC.2018.11.013CrossRef

19.

Çubuk, M.H., Gündoğdu, M.: Fluid cooled extruder head design for 3D printers. J. Plumbing Eng. 171, 49–60 (2019). https://doi.org/10.1016/J.ADDMA.2015.09.006(2019)CrossRef

20.

Day, P.J., Speers, S.J.: The assessment of 3D printer technology for forensic comparative analysis. Austral. J. Forensic Sci. 52(5), 55 (2019). https://doi.org/10.1080/00450618.2019.1609088CrossRef

21.

Değerli, C., El, S.N.: A review on food production with 3 dimensional (3D) printing technology. Turkish J. Agric. - Food Sci. Technol. 5(6), 593 (2017). https://doi.org/10.24925/TURJAF.V5I6.593-599.1062CrossRef

22.

Demireli, E.: TOPSIS multicriteria decision making method: an examination on state owned commercial banks in Turkey. J. Entrep. Dev. 5(1), 101–112 (2010)

23.

Deringöz, A., Danışan, T., Eren, T.: Endüstriyel Giyilebilir Teknolojilerin ÇKKV Yöntemleri ile Değerlendirilmesi ve Seçimi. Ergonomi 4(1), 10–21 (2021). https://doi.org/10.33439/ERGONOMI.882303CrossRef

24.

Finnes, T., Letcher, T.: High definition 3D printing-comparing SLA and FDM printing technologies. J. Undergraduate Res. 13, 3 (2015)

25.

Gül, M.: Development of 3D Printer for use in biomedical engineering. Int. J. 3D Print. Technol. Digit. Ind. 2(3), 85–92 (2018)

26.

Gür, Ş, Bedir, N., Eren, T.: Analitik Ağ Süreci Ve PROMETHEE Yöntemleri İle Gıda Sektöründeki Orta Ölçekli İşletmeler İçin Pazarlama Stratejilerinin Seçimi. Nevşehir Bilim ve Teknoloji Dergisi Cilt 6(1), 79–92 (2017)CrossRef

27.

Hamurcu, M., Eren, T. (2020a) Selection of unmanned aerial vehicles by using multicriteria decision-making for defence. J. Math. 2020. https://doi.org/10.1155/2020/4308756

28.

Hamurcu, M., Eren, T.: Electric bus selection with multicriteria decision analysis for green transportation. Sustainability (Switzerland) 12(7). https://doi.org/10.3390/su12072777 (2020b)

29.

Höhne, C., Schmitter, M.: 3D printed teeth for the preclinical education of dental students. J. Dent. Educ. 83(9), 1100–1106 (2019). https://doi.org/10.21815/JDE.019.103CrossRefPubMed

30.

Huang, S.H., Liu, P., Mokasdar, A., Hou, L.: Additive manufacturing and its societal impact: a literature review. Int J Adv Manuf Technol 67, 1191–1203 (2013). https://doi.org/10.1007/s00170-012-4558-5CrossRef

31.

Jha, M.K., Gupta, S., Chaudhary, V., Gupta, P.: Material selection for biomedical application in additive manufacturing using TOPSIS approach. Mater. Today: Proc. 62, 1452–1457 (2022). https://doi.org/10.1016/j.matpr.2022.01.423CrossRef

32.

Karagöz, İ, Danış Bekdemir, A., Tuna, Ö.: A review of used methods and developments in 3D printer technologies. Düzce Univ. J. Sci. Technol. 9(2021), 1186–1213 (2021). https://doi.org/10.29130/dubited.877423CrossRef

33.

Kayalıoğlu, A.C.: The Use of Three Dimensional Scanners and Three Dimensional Printers in Ceramic Art Together with Hand Building in Figurative Forms, Anadolu University (2020)

34.

Kemal Sürmen, H.: Patient custom orthesis manufacturing with 3D printing method. In: Sürmen, H.K. (ed.), 4th International Congress on 3D Printing (Additive Manufacturing) Technologies and Digital Industry, Antalya, pp. 1388–1395 (2019)

35.

Kılıç, N.G.: Designing by Three Dimensional Printers in Ceramics, Mimar Sinan Fine Arts University (2019)

36.

Kröger, E., Dekiff, M., Dirksen, D.: 3D printed simulation models based on real patient situations for hands-on practice. Eur. J. Dental Educ. 21(4), e119–e125 (2017). https://doi.org/10.1111/EJE.12229CrossRef

37.

Küçüksolak, S.: Usage of Three-Dimensional Printers in Education: An Application on Students. Aksaray University (2019)

38.

Kun, K.: Reconstruction and development of a 3D printer using FDM technology. Procedia Eng. 149(2016), 203–211 (2016)CrossRef

39.

Lai, Y.J., Liu, T.Y., Hwang, C.L.: TOPSIS for MODM. Eur. J. Oper. Res. 76(3), 486–500 (1994). https://doi.org/10.1016/0377-2217(94)90282-8CrossRef

40.

Lee, C.Y., Liu, C.Y.: The influence of forced-air cooling on a 3D printed PLA part manufactured by fused filament fabrication. Addit. Manufact. 25, 196–203 (2019). https://doi.org/10.1016/J.ADDMA.2018.11.012CrossRef

41.

Lopes, A.J., Perez, M.A., Espalin, D., Wicker, R.B.: Comparison of ranking models to evaluate desktop 3D printers in a growing market. Addit. Manuf. 35, 101291 (2020). https://doi.org/10.1016/J.ADDMA.2020.101291CrossRef

42.

Mitchell, A., Lafont, U., Hołyńska, M., Semprimoschnig, C.: Additive manufacturing: a review of 4D printing and future applications. Addit. Manuf. 24, 606–626 (2018). https://doi.org/10.1016/J.ADDMA.2018.10.038CrossRef

43.

Mutlu, G.: Investigation of The Use of Three-D Printer in Jewelery, Dokuz Eylül Univeristy (2020)

44.

Nazlı Özsolak, F., Kaya, B.: Design of selective laser sintering 3D printer. Eur. J. Sci. Technol. 28, 785–789 (2021). https://doi.org/10.31590/ejosat.1011235CrossRef

45.

Onan, A.: The use of PROMETHEE outranking method in evaluation of housing projects. Afyon Kocatepe Univ. J. Econ. Admin. Sci. 16(1), 17–28 (2014). https://doi.org/10.5578/jeas.6470CrossRef

46.

Qin, Y., Qi, Q., Shi, P., Scott, P.J., Jiang, X.: Selection of materials in metal additive manufacturing via three-way decision-making. Int. J. Adva. Manuf. Technol. 126(3), 1293–1302 (2023). https://doi.org/10.1007/S00170-023-10966-5/TABLES/6CrossRef

47.

Razminienė, K., Vinogradova, I., Tvaronavičienė, M.: Clusters in transition to circular economy: evaluation of relation. Acta Montanistica Slovaca 26(3), 455–465 (2021). https://doi.org/10.46544/AMS.v26i3.06CrossRef

48.

Ren, D., Choi, J.K., Schneider, K.: A multicriteria decision-making method for additive manufacturing process selection. Rapid Prototyping J. 28(11), 77–91 (2022). https://doi.org/10.1108/RPJ-11-2021-0302/FULL/PDFCrossRef

49.

Rokaya, D., Kongkiatkamon, S., Heboyan, A., Dam, V.V., Amornvit, P., Khurshid, Z., Srimaneepong, V., et al.: 3D printed biomaterials in biomedical application. Funct. Biomater. 55, 319–339 (2022). https://doi.org/10.1007/978-981-16-7152-4_12/COVERCrossRef

50.

Saaty, T.L.: The Analytic Hierarchy Process. McGraw-Hill Inc, New York (1977)

51.

Saaty, T.L.: What is the analytic hierarchy process? Math. Models Decis. Support NATO ASI Ser. (Series F: Computer and Systems Sciences) 48, 109–121 (1988). https://doi.org/10.1007/978-3-642-83555-1_5MathSciNetCrossRef

52.

Şahin, K., Turan, B.O.: Comparative analysis of 3D printer technologies. J. Strategic Soc. Res. 2(2), 97–116 (2018)

53.

Sarı, F., Kandemir, İ, Ceylan, D.A., Gül, A.: Using AHP and PROMETHEE multi-criteria decision making methods to define suitable apiary locations. J. Apic. Res. 59(4), 546–557 (2020). https://doi.org/10.1080/00218839.2020.1718341CrossRef

54.

Şatana, A.: Sağlık Sektöründe Hayatı Kolaylaştıran 3D Baskı Uygulamaları | Blog’, www.tridi.com, 20 May, available at: https://www.tridi.co/tr/blog/saglik-sektorunde-hayati-kolaylastiran-3d-baski-uygulamalari. Accessed 10 Sept 2022 (2022)

55.

Singare, S., Dichen, L., Bingheng, L., Zhenyu, G., Yaxiong, L.: Customized design and manufacturing of chin implant based on rapid prototyping. Rapid Prototyping J. 11(2), 113–118 (2005). https://doi.org/10.1108/13552540510589485/FULL/PDFCrossRef

56.

Su, A., Al’Aref, S.J.: ‘History of 3D printing. 3D Printing Applications in Cardiovascular Medicine, Academic Press, pp. 1–10, https://doi.org/10.1016/B978-0-12-803917-5.00001-8 (2018)

57.

Tanvir Alam, S., Ahmed, S., Mithun Ali, S., Sarker, S., Kabir, G., ul-Islam, A.: Challenges to COVID-19 vaccine supply chain: ımplications for sustainable development goals, doi:https://doi.org/10.1016/j.ijpe.2021.108193 (2021)

58.

Tatlı, O., Güler Özgül, H.: 3D printer design, manufacturing and effect of infill patterns on mechanical properties. ICONTECH Int. J. Surveys Eng. Technol. 5(4), 785–789 (2021)

59.

Teh, K.C., Lim, S.C., Andiappan, V., Chew, I.M.L.: Evaluation of palm oil eco-industrial park configurations: VIKOR with stability analysis. Process Integr. Optim. Sustain. 5, 303–316 (2021). https://doi.org/10.1007/s41660-021-00168-5/PublishedCrossRef

60.

Tümer, M.B.: Theree Dimensional Printers and Its Use in Architecture, Işık University (2020)

61.

Ürkmez, A.Ş, Seçkin, U.D., Görgün, C., Uyanıkgil, Y.: 3D Bioprinting and Cultivation of Keratinocytesfor Skin TissueEngineering. Dicle Med. J. 45(1), 9–18 (2018). https://doi.org/10.5798/dicletip.363931CrossRef

62.

www.boyutkat.com. (2022), ‘3D Yazıcı Teknolojileri Nelerdir? ’, available at: https://www.boyutkat.com/3d-yazici/3d-yazici-teknolojileri-nelerdir/. Accessed 17 Sept 2022.

63.

Yazıcı, E., Üner, S.İ, Demir, A., Dinler, S., Alakaş, H.M.: Evaluation of supply sustainability of vaccine alternatives with multi-criteria decision-making methods. Int. J. Health Plan. Manag. (2022). https://doi.org/10.1002/HPM.3481CrossRef

64.

Yilmaz, F., Koç, E.: Production of Biomedical Parts by Additive Manufacturing (3D Printing) (2016)

65.

Yıldıran, M.: The Surface Desingns with 3D Printers for Fashion Products. Akdeniz University, Antalya (2017)

Titel: Selection of 3D printing technologies for prosthesis production with multi-criteria decision making methods
verfasst von: Hacı Mehmet Alakas
Emre Yazici
Ufukcan Ebiri
Berat Alperen Kizilay
Onur Oruc
Publikationsdatum: 27.08.2023
Verlag: Springer Paris
Erschienen in: International Journal on Interactive Design and Manufacturing (IJIDeM) / Ausgabe 2/2024
Print ISSN: 1955-2513
Elektronische ISSN: 1955-2505
DOI: https://doi.org/10.1007/s12008-023-01489-0

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"

Weitere Artikel der Ausgabe 2/2024

Performance evaluation for the IoT-based manufacturing system in pharmacy industry

Modelling and parametric optimization of EDM of Al 8081/SiCp composite through DEAR approach

Impulse dynamics and augmented reality for real-time interactive digital twin exploration and interrogation

The form-affordance-function (FAF) triangle of design

Design of smart operating table based on HCI and virtual visual tracking technology

Application of probabilistic multi-objective optimization in material milling

Premium Partner