3D Printer Selection by Using Fuzzy Analytic Hierarchy Process and PROMETHEE

Year 2017, , 371 - 380, 30.10.2017

Cihan Çetinkaya , Mehmet Kabak Eren Özceylan

https://doi.org/10.17671/gazibtd.347610

Cited By: 7

Abstract

A 3D printer is a device which is used to produce
three-dimensional objects from a digital 3D file. The 3D printers were very
expensive and not really affordable for the general public so they were being
used only by firms. But nowadays, 3D printers are more accessible to the public
with competitive prices and many different models. This situation reveals the
problem of choosing the best alternative among these printers. In this paper,
we handle the 3D printer selection problem of a company which is in 3D production
business. Since there is no study in literature that uses a hybrid Fuzzy AHP
and PROMETHEE for selecting a 3D printer, it is believed that this paper can
help the decision makers about their 3D printer selection decisions. Another
importance of the paper can be introduced as being a real life guide for a real
life problem of a company. To solve the problem, firstly the selection criteria
are obtained from the company. Then, selection criteria are prioritized using
Fuzzy Analytic Hierarchy Process (FAHP) and potential 3D printers are ranked
using PROMETHEE. Finally, the best 3D printer is chosen for the company among
five close alternatives.

Keywords

3D printer, Fuzzy AHP, PROMETHEE, Additive manufacturing

References

• [1] Conner, B.P., Manogharan, G.P., Martof, A.N., Rodomsky, L.M., Rodomsky, C.M., Jordan, D.C., Limperos, J.W., 2014, Making sense of 3D printing: Creating a map of additive manufacturing products and services, Additive Manufacturing, 1-4: 64–76. [2] Cetinkaya, C., Ozceylan, E., 2015, Impacts of 3D Printing on Supply Chain Management, In proceedings of 13th International Logistics and Supply Chain Conference, pp. 649-657. [3] Berman, B., 2012, 3D printing: The new industrial revolution, Business Horizons, 55: 155–162. [4] Akça, B.A., Doğan, A., Özcan, U., 2015, Analitik Hiyerarşi Süreci Kullanılarak Kişi Takip Cihazı Seçimi, International Journal of Informatics Technologies, 8 (1): 20–35. [5] Rao, R.V., Patel, B.K., 2010, Decision making in the manufacturing environment using an improved PROMETHEE method, International Journal of Production Research, 48 (16): 4665–4682. [6] Alp, Ö.N., Demirtaş, N., Baraçlı, H., Tuzkaya, U.R., 2011, Fuzzy AHP-PROMETHEE methodology to select bus garage location: A case study for a firm in the urban passenger transport sector in İstanbul, 15th International Research/Expert Conference on Trends in the Development of Machinery and Associated Technology, pp. 273–276. [7] Brajlih, T., Valentan, B., Balic, J., Drstvensek, I., 2011, Speed and accuracy evaluation of additive manufacturing machines, Rapid Prototyping Journal, 17 (1): 64–75. [8] Taha, Z., Rostam, S., 2012, A hybrid fuzzy AHP-PROMETHEE decision support system for machine tool selection in flexible manufacturing cell, Journal of Intelligent Manufacturing, 23: 2137–2149. [9] Avikal, S., Mishra, P.K., Jain, R., 2014, A Fuzzy AHP and PROMETHEE method-based heuristic for disassembly line balancing problems, International Journal of Production Research, 52 (5): 1306–1317. [10] Kabir, G., Sumi, R.Z., 2014, Power substation location selection using fuzzy analytic hierarchy process and PROMETHEE: A case study from Bangladesh, Energy, 72: 717–730. [11] Byun, H.S., Lee, K.H., 2005, A decision support system for the selection of a rapid prototyping process using the modified TOPSIS method, International Journal of Advanced Manufacturing Technology, 26: 1338–1347. [12]Roberson, D.A., Espalin, D., Wicker, R.B., 2013, 3D printer selection: A decision-making evaluation and ranking model, Virtual and Physical Prototyping, 8 (3): 201–212. [13]Agarwal, P.K., Paul, D., Choudhury, S.R., Banerjee, D., 2015, Selection of 3D printers for educational institutions using ANP-Similarity based approach, International Journal of Engineering Research and Technology, 4 (4): 278–287. [14]Kek, V., Vinodh, S., Brajesh, P., Muralidharan, R., 2016, Rapid prototyping process selection using multi criteria decision making considering environmental criteria and its decision support system, Rapid Prototyping Journal, 22 (2): 225–250. [15]Facchinetti, G., Ricci, R.G., 2004, A characterization of a general class of ranking functions on triangular fuzzy numbers, Fuzzy Sets and Systems 146 (2): 297–312. [16]Saaty, T.L., 1977, A scaling method for priorities in hierarchical structures, Journal of Mathematical Psychology, 15 (3): 234–281. [17]Saaty, T.L., 1980, The analytic hierarchy process, New York, McGraw-Hill International. [18]Saaty, T.L., 1996, Decision making with dependence and feedback: The analytic network process, Pittsburgh, RWS Publications. [19]Pourghasemi, H.R., Pradhan, B., Gokceoglu, C., 2012, Application of fuzzy logic and analytical hierarchy process (AHP) to landslide susceptibility mapping at Haraz watershed, Iran, Natural Hazards, 63 (2): 965–996. [20]Qdais, H.A., Alshraideh, H., 2016, Selection of management option for solid waste from olive oil industry using the analytical hierarchy process, Journal of Material Cycles and Waste Management, 18 (1): 177–185. [21]Brans, J.P., Vincke, P.H., 1985, A preference ranking organization method, Management Science 31 (6): 647–656. [22]Brans, J.P., Vincke, P.H., Mareschall, B., 1986, How to select and how to rank projects: The PROMETHEE method, European Journal of Operational Research, 24 (2): 228–238. [23] Albadvi, A., Chaharsooghi, S.K., Esfahanipour, A., 2007, Decision making in stock trading: An application of PROMETHEE, European Journal of Operational Research, 177 (2): 673–683. [24]Nijkamp, P., Rietveld, P., Voogd, H., 1990, Multi-criteria evaluation in physical planning, Amsterdam, Elsevier Science Publishers. [25]Mergias, I., Moustakas, K., Papadopoulos, A., Loizidou, M., 2007, Multi-criteria decision aid approach for the selection of the best compromise management scheme for ELVs: The case of Cyprus, Journal of Hazardous Materials, 147 (3): 706–717. [26]Kabak, M., Dağdeviren, M., 2014, A hybrid MCDM approach to assess the sustainability of students’ preferences for university selection, Technological and Economic Development of Economy, 20 (3): 391–418. [27]Kadziński, M., Ciomek, K., 2016, Integrated framework for preference modeling and robustness analysis for outranking-based multiple criteria sorting with ELECTRE and PROMETHEE, Information Sciences, 352-353: 167–187. [28]3D printers and 3D printing news, 2017, List of 3D manufacturers, http://www.3ders.org/pricecompare/3dprinters/Access date: 28.01.2017. [29] Wang J.J., Yang, D.L., 2007, Using a hybrid multi-criteria decision aid method for information systems outsourcing, Computers and Operation Research, 34 (12): 3691–3700.