IVPF-AHP integrated VIKOR methodology in supplier selection of three-dimensional (3D) printers

Yıl 2024, Cilt: 8 Sayı: 2, 235 – 253, 30.04.2024

Selin Yalçın

https://doi.org/10.31127/tuje.1404694 Cited By: 1

Öz

Complex geometries, fine details, and various designs that are difficult to create using traditional methods can easily be turned into a tangible object with Three-Dimensional (3D) printers. 3D printers have advantages such as providing design flexibility, obtaining prototypes in the shortest possible time, allowing for personalization, and reducing waste through the use of advanced technology. These advantages emphasize the significance of 3D printers in a sustainable production model. The widespread usage of 3D printers leads to increased efficiency and cost reduction in production. When the literature is examined, it is observed that there are limited studies on the evaluation of supplier performances for company using 3D printers. The aim of this study is to address 3D printers, which are highly significant for sustainable production, and to reveal the criteria that companies utilizing these printers need to consider for determining their suppliers. As a result of the literature review and expert interviews, a model has been developed that gathers the criteria to be considered for supplier selection, which is an important cost factor for companies involved in designing and producing 3D printers under five main and 18 sub-criteria. The importance weights of the criteria have been determined using the Interval Valued Pythagorean Fuzzy Analytic Hierarchy Process (IVPF-AHP) method, and the most suitable supplier among alternative suppliers has been selected using the Vise Kriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method. Finally, the supplier scores have been statistically analyzed to show the validation of the results of the proposed method. According to the results, it has been concluded that for company using 3D printers, quality and technical service criteria are more important in the supplier selection. Additionally, cost of the material/equipment, product price and easy maintenance criteria also play a critical role in the supplier selection of 3D printer.

Anahtar Kelimeler

3D printer, Supplier selection, IVPF-AHP, VIKOR

Kaynakça

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Yıl 2024, Cilt: 8 Sayı: 2, 235 – 253, 30.04.2024

Selin Yalçın

https://doi.org/10.31127/tuje.1404694 Cited By: 1

Öz

Kaynakça

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  • de Brito, F. M., da Cruz Júnior, G., Frazzon, E. M., Basto, J. P., & Alcalá, S. G. (2019). An optimization model for the design of additive manufacturing supply chains. In 2019 IEEE 17th International Conference on Industrial Informatics (INDIN), 1, 881-885. https://doi.org/10.1109/INDIN41052.2019.8972028
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  • Aydin, S., & Kahraman, C. (2010). Multiattribute supplier selection using fuzzy analytic hierarchy process. International Journal of Computational Intelligence Systems, 3(5), 553-565. https://doi.org/10.1080/18756891.2010.9727722
  • Joo, Y., Shin, I., Ham, G., Abuzar, S. M., Hyun, S. M., & Hwang, S. J. (2020). The advent of a novel manufacturing technology in pharmaceutics: Superiority of fused deposition modeling 3D printer. Journal of Pharmaceutical Investigation, 50, 131-145. https://doi.org/10.1007/s40005-019-00451-1
  • Zadeh, L. A. (1965). Information and control. Fuzzy Sets, 8(3), 338-353.
  • Atanassov, K. T., & Atanassov, K. T. (1999). Intuitionistic fuzzy sets. https://doi.org/10.1007/978-3-7908-1870-3_1
  • Yager, R. R. (2013). Pythagorean fuzzy subsets. In 2013 joint IFSA world congress and NAFIPS annual meeting (IFSA/NAFIPS), 57-61. https://doi.org/10.1109/IFSA-NAFIPS.2013.6608375
  • Kahraman, C., & Cebi, S. (Eds.). (2023). Analytic Hierarchy Process with Fuzzy Sets Extensions: Applications and Discussions, 428. Springer Nature.
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  • Karaşan, A., Gündoğdu, F. K., & Kahraman, C. (2020). Pythagorean fuzzy AHP method for the selection of the most appropriate clean energy technology. In Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making: Proceedings of the INFUS 2019 Conference, Istanbul, Turkey, July 23-25, 2019, 879-887. https://doi.org/10.1007/978-3-030-23756-1_105
  • Otay, I., & Jaller, M. (2020). Multi-criteria and multi-expert wind power farm location selection using a pythagorean fuzzy analytic hierarchy process. In Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making: Proceedings of the INFUS 2019 Conference, Istanbul, Turkey, July 23-25, 2019, 905-914. https://doi.org/10.1007/978-3-030-23756-1_108
  • Ilbahar, E., Cebi, S., & Kahraman, C. (2020). Assessment of renewable energy alternatives with pythagorean fuzzy WASPAS method: a case study of Turkey. In Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making: Proceedings of the INFUS 2019 Conference, Istanbul, Turkey, July 23-25, 2019, 888-895. https://doi.org/10.1007/978-3-030-23756-1_106
  • Mete, S. (2019). Assessing occupational risks in pipeline construction using FMEA-based AHP-MOORA integrated approach under Pythagorean fuzzy environment. Human and Ecological Risk Assessment: An International Journal, 25(7), 1645-1660. https://doi.org/10.1080/10807039.2018.1546115
  • Oz, N. E., Mete, S., Serin, F., & Gul, M. (2018). Risk assessment for clearing and grading process of a natural gas pipeline project: An extended TOPSIS model with Pythagorean fuzzy sets for prioritizing hazards. Human and Ecological Risk Assessment: An International Journal, 25(6), 1615-1632. https://doi.org/10.1080/10807039.2018.1495057
  • Bolturk, E., & Kahraman, C. (2018). Natural gas technology selection using Pythagorean fuzzy CODAS. In Data Science and Knowledge Engineering for Sensing Decision Support: Proceedings of the 13th International FLINS Conference (FLINS 2018), 1034-1041. https://doi.org/10.1142/9789813273238_0131
  • Mete, S., Serin, F., Oz, N. E., & Gul, M. (2019). A decision-support system based on Pythagorean fuzzy VIKOR for occupational risk assessment of a natural gas pipeline construction. Journal of Natural Gas Science and Engineering, 71, 102979. https://doi.org/10.1016/j.jngse.2019.102979
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  • Yildiz, A., Ayyildiz, E., Taskin Gumus, A., & Ozkan, C. (2020). A modified balanced scorecard based hybrid pythagorean fuzzy AHP-topsis methodology for ATM site selection problem. International Journal of Information Technology & Decision Making, 19(02), 365-384. https://doi.org/10.1142/S0219622020500017
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  • Erdoğan, N. K., Onay, A., & Karamaşa, Ç. (2019). Measuring the performance of retailer firms listed in BIST under the balanced scorecard perspective by using interval valued Pythagorean Fuzzy AHP based Pythagorean Fuzzy TODIM Methodology. Alphanumeric Journal, 7(2), 333-350. https://doi.org/10.17093/alphanumeric.451247
  • Ilbahar, E., Karaşan, A., Cebi, S., & Kahraman, C. (2018). A novel approach to risk assessment for occupational health and safety using Pythagorean fuzzy AHP & fuzzy inference system. Safety science, 103, 124-136. https://doi.org/10.1016/j.ssci.2017.10.025
  • Yager, R. R. (2016). Properties and applications of Pythagorean fuzzy sets. Imprecision and Uncertainty in Information Representation and Processing: New Tools Based on Intuitionistic Fuzzy Sets and Generalized Nets, 119-136. https://doi.org/10.1007/978-3-319-26302-1_9
  • Zhang, X., & Xu, Z. (2014). Extension of TOPSIS to multiple criteria decision making with Pythagorean fuzzy sets. International Journal of Intelligent Systems, 29(12), 1061-1078. https://doi.org/10.1002/int.21676
  • Peng, X., & Yang, Y. (2016). Fundamental properties of interval‐valued Pythagorean fuzzy aggregation operators. International Journal of Intelligent Systems, 31(5), 444-487. https://doi.org/10.1002/int.21790
  • Haktanır, E., & Kahraman, C. (2020). Malcolm baldrige national quality award assessment using interval valued pythagorean fuzzy sets. In Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making: Proceedings of the INFUS 2019 Conference, Istanbul, Turkey, July 23-25, 2019, 1097-1103. https://doi.org/10.1007/978-3-030-23756-1_129
  • Opricovic, S., & Tzeng, G. H. (2004). Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS. European Journal of Operational Research, 156(2), 445-455. https://doi.org/10.1016/S0377-2217(03)00020-1
  • Uygun, Ö., Kahvecı, T. C., Taşkın, H., & Priştine, B. (2013). A model for measuring institutionalization level of SMEs. TOJSAT, 3(4), 1-17.
  • Alili, A., & Krstev, D. (2019). Using spss for research and data analysis. Knowledge–International Journal, 32(3), 301-390
  • Kimani, C. J., & Scott, J. (2023). Advanced SPSS Professional Leve. Finstock Evarsity Publishers.
  • Taylor, R. (1990). Interpretation of the correlation coefficient: a basic review. Journal of diagnostic medical sonography, 6(1), 35-39. https://doi.org/10.1177/875647939000600106

Toplam 99 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Çevresel Olarak Sürdürülebilir Mühendislik
BölümArticles
Yazarlar

Selin Yalçın BEYKENT ÜNİVERSİTESİ 0000-0002-9926-2099 Türkiye

Erken Görünüm Tarihi8 Nisan 2024
Yayımlanma Tarihi30 Nisan 2024
Gönderilme Tarihi14 Aralık 2023
Kabul Tarihi15 Şubat 2024
Yayımlandığı Sayı Yıl 2024 Cilt: 8 Sayı: 2

Kaynak Göster

APAYalçın, S. (2024). IVPF-AHP integrated VIKOR methodology in supplier selection of three-dimensional (3D) printers. Turkish Journal of Engineering, 8(2), 235-253. https://doi.org/10.31127/tuje.1404694
AMAYalçın S. IVPF-AHP integrated VIKOR methodology in supplier selection of three-dimensional (3D) printers. TUJE. Nisan 2024;8(2):235-253. doi:10.31127/tuje.1404694
ChicagoYalçın, Selin. “IVPF-AHP Integrated VIKOR Methodology in Supplier Selection of Three-Dimensional (3D) Printers”. Turkish Journal of Engineering 8, sy. 2 (Nisan 2024): 235-53. https://doi.org/10.31127/tuje.1404694.
EndNoteYalçın S (01 Nisan 2024) IVPF-AHP integrated VIKOR methodology in supplier selection of three-dimensional (3D) printers. Turkish Journal of Engineering 8 2 235–253.
IEEES. Yalçın, “IVPF-AHP integrated VIKOR methodology in supplier selection of three-dimensional (3D) printers”, TUJE, c. 8, sy. 2, ss. 235–253, 2024, doi: 10.31127/tuje.1404694.
ISNADYalçın, Selin. “IVPF-AHP Integrated VIKOR Methodology in Supplier Selection of Three-Dimensional (3D) Printers”. Turkish Journal of Engineering 8/2 (Nisan 2024), 235-253. https://doi.org/10.31127/tuje.1404694.
JAMAYalçın S. IVPF-AHP integrated VIKOR methodology in supplier selection of three-dimensional (3D) printers. TUJE. 2024;8:235–253.
MLAYalçın, Selin. “IVPF-AHP Integrated VIKOR Methodology in Supplier Selection of Three-Dimensional (3D) Printers”. Turkish Journal of Engineering, c. 8, sy. 2, 2024, ss. 235-53, doi:10.31127/tuje.1404694.
VancouverYalçın S. IVPF-AHP integrated VIKOR methodology in supplier selection of three-dimensional (3D) printers. TUJE. 2024;8(2):235-53.

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